{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9853661","patent":{"patent_number":"US-9853661","title":"On-the-fly evaluation of the number of errors corrected in iterative ECC decoding","assignee":null,"inventors":[],"filing_date":"2015-12-08T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G06F","G06F"],"num_claims":16,"abstract":"A decoder includes an interface and circuitry. The interface is configured to receive a code word that was encoded using a Quasi-Cyclic Low Density Parity Check (QC-LDPC) Error Correcting Code (ECC) represented by multiple check equations that are defined over multiple variables. The circuitry is configured to decode the code word by iteratively processing multiple layers that each includes a respective subset of the variables of the code word, and producing per each layer one or more count updates, and to generate a total number of errors corrected over the entire code word by accumulating the count updates."},"analysis":{"summary":"The patent, titled \"On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding,\" introduces a critical advancement in data integrity and system diagnostics. At its core, this innovation provides a method for real-time, instantaneous evaluation of the number of errors corrected within an iterative Error Correcting Code (ECC) decoding process, specifically for Quasi-Cyclic Low Density Parity Check (QC-LDPC) codes.\n\nThe primary problem this patent solves is the traditional lack of immediate visibility into the efficacy of ECC systems. While conventional decoders successfully correct errors, operators often lack granular, real-time data on *how many* errors are being corrected. This 'black box' nature hinders proactive system management, dynamic optimization, and rapid fault identification, potentially leading to performance degradation or uncorrectable errors.\n\nThe key technical approach involves integrating the error counting mechanism directly into the iterative decoding circuitry. The invention describes a decoder that receives an encoded codeword. Its circuitry then decodes this codeword by iteratively processing multiple layers, each corresponding to a subset of the codeword's variables. Crucially, during the processing of each layer, the circuitry produces one or more 'count updates' reflecting the errors corrected within that specific layer. These individual updates are then accumulated to generate a comprehensive, total number of errors corrected over the entire codeword, all while the decoding is in progress.\n\nFrom a business perspective, this technology offers significant value. It enables unprecedented diagnostic capabilities, allowing for proactive maintenance and predictive fault detection in data-intensive environments like telecommunications, data centers, and high-performance computing. Systems can dynamically adapt to changing channel conditions or hardware degradation, leading to improved reliability, reduced downtime, and optimized resource utilization. This translates into substantial operational cost savings and enhanced service quality.\n\nThe market opportunity for this innovation is vast, spanning any industry reliant on robust and efficient data transmission and storage. By providing immediate feedback on error correction performance, this patent facilitates the development of more resilient, self-optimizing digital infrastructure, positioning it as a foundational technology for future generations of communication and computing systems.","layman_explanation":"### What Problem Does This Solve?\n\nImagine you're running a massive online store, and your computers are constantly sending and receiving customer orders, inventory updates, and payment details. Sometimes, due to tiny electrical interference or a faulty connection, a small piece of data might get corrupted – a '1' might accidentally become a '0'. Our systems have built-in 'Error Correcting Codes' (ECC) that act like diligent proofreaders, finding and fixing these mistakes so your customers get the right order.\n\nHowever, the problem is that these proofreaders usually work silently in the background. They fix the errors, but they don't tell you *how many* errors they're fixing, or *where* those errors are coming from, in real-time. It's like having a great maintenance crew, but they never report on how often they're patching a leaky roof. You only find out there's a serious problem when the ceiling collapses. This lack of immediate feedback makes it hard for businesses to proactively identify failing hardware, anticipate network issues, or optimize their systems before a major incident occurs.\n\n### How Does It Work?\n\nThis patent, \"On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding,\" introduces a clever way to make these digital proofreaders 'speak up.' Think of it this way: your data, like a long sentence, is broken down into smaller chunks, or 'layers.' As the proofreader (the decoder) goes through each layer, fixing any errors it finds, it also keeps a running tally of every correction it makes. So, for each layer, it says, \"Okay, I fixed 3 mistakes here.\" Then it moves to the next layer, fixes more, and adds those to the total. By the time it's done with the whole sentence (the entire piece of data), it can tell you the grand total of all mistakes it corrected.\n\nThis process happens 'on-the-fly,' meaning it's integrated directly into the fixing process itself, not as a separate step afterward. It's like your proofreader having a digital clicker that automatically counts every typo they fix, giving you an instant, precise report without slowing down the proofreading itself. This is particularly effective for a type of robust proofreading system called Quasi-Cyclic Low Density Parity Check (QC-LDPC) codes, which are widely used for their efficiency in handling complex data errors.\n\n### Why Does This Matter?\n\nThis patent matters because it transforms reactive problem-solving into proactive strategic management. For a business, this means:\n\n*   **Reduced Downtime:** If a server starts showing a high number of corrected errors, you'll know immediately that it might be failing. You can replace it *before* it crashes, preventing costly service interruptions.\n*   **Optimized Performance:** In telecommunications, if a network link is constantly struggling and correcting many errors, the system can dynamically adjust its settings (like signal strength) to improve performance and save energy, rather than just brute-forcing the data through.\n*   **Enhanced Reliability:** For critical systems, like medical devices or autonomous vehicles, knowing the exact error correction load ensures maximum data integrity, which is non-negotiable for safety and operational confidence.\n*   **Better Investment Decisions:** Understanding where errors are most prevalent can inform future hardware purchases, network upgrades, and infrastructure design, leading to more efficient capital expenditure.\n\n### What's Next?\n\nThis innovation lays the groundwork for truly 'intelligent' data infrastructure. We can expect to see this technology integrated into next-generation data centers, 5G and 6G communication networks, and advanced IoT devices. Its ability to provide real-time, actionable insights will drive the development of self-healing systems that can anticipate and mitigate problems before they impact users. For investors, this patent represents a foundational technology that will contribute to the resilience and efficiency of the digital economy, offering significant ROI through improved operational stability and reduced costs.","technical_analysis":"The patent, \"On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding,\" presents a significant architectural and algorithmic enhancement for iterative Error Correcting Code (ECC) decoders, particularly those employing Quasi-Cyclic Low Density Parity Check (QC-LDPC) codes. This innovation addresses the long-standing challenge of obtaining real-time, granular insights into the number of errors corrected *during* the decoding process, rather than through post-decoding analysis.\n\n**Technical Architecture and Components:**\n\nThe core of this invention is a decoder system comprising an interface and specialized circuitry. The interface is responsible for receiving the encoded codeword, which is structured according to QC-LDPC principles. QC-LDPC codes are known for their sparsity and excellent error-correcting capabilities, often implemented with iterative message-passing algorithms.\n\n**Implementation Details and Algorithm Specifics:**\n\nThe circuitry is designed to perform iterative decoding, a process where soft information (log-likelihood ratios, LLRs) is exchanged between variable nodes and check nodes over multiple iterations. A key aspect of modern QC-LDPC decoders is their layered processing structure. Instead of updating all check nodes simultaneously, they often process subsets of check nodes (layers) sequentially within an iteration. This patent leverages this inherent layered structure.\n\nDuring each iteration, as the circuitry processes a respective subset of variables within a layer, it simultaneously generates 'count updates.' These updates are not trivial; they represent the number of bit flips or changes in hard decisions that occur as messages propagate and converge within that specific layer. For instance, in a belief propagation or min-sum algorithm, a bit's hard decision (0 or 1) might flip based on the updated LLRs. The invention's circuitry is configured to detect and tally these 'effective' flips within each layer. It's crucial to differentiate between transient flips that might revert in subsequent iterations and those that represent a genuine correction contributing to the final decoded word.\n\nTo achieve an accurate 'on-the-fly' count, the circuitry likely maintains a reference state (e.g., the initial received codeword or the hard decision from the previous iteration) for each bit. A 'count update' is generated when a bit's hard decision changes from this reference state. These per-layer count updates are then accumulated. This accumulation could involve a simple summation unit (e.g., an adder tree or sequential accumulator) that consolidates the counts from all layers within an iteration, and then across all iterations, to yield a total number of errors corrected over the entire codeword. The accumulation process must be carefully designed to avoid double-counting errors that might be corrected and then re-corrected across different layers or iterations, focusing on unique bit changes that lead to the final, valid codeword.\n\n**Integration Patterns:**\n\nThis technology can be seamlessly integrated into existing QC-LDPC decoder architectures. The 'count update' logic can be embedded within the variable node update (VNU) or check node update (CNU) units, or as a lightweight module operating in parallel with the core message-passing computations. The output of the accumulator, the total error count, can then be routed to a system-level monitoring unit, a control plane, or a diagnostic interface.\n\n**Performance Characteristics:**\n\nThe primary performance benefit is the provision of real-time error correction metrics with minimal additional latency or computational overhead. By integrating the counting directly into the iterative process, the system avoids the need for a separate, potentially time-consuming, post-decoding comparison. This enables immediate feedback, which is critical for dynamic system adaptation, such as adjusting modulation and coding schemes in wireless communication or initiating data migration in storage systems.\n\n**Code-Level Implications:**\n\nFor engineers implementing this, it implies modifications to the core message-passing loops. Within the variable node or check node update functions, logic would be added to: \n1. Store the previous hard decision for each bit. \n2. Compare the newly computed hard decision with the previous one. \n3. Increment a local 'layer_error_count' register if a flip occurs. \n4. At the end of a layer's processing, the `layer_error_count` is passed to a global accumulator. \n5. The global accumulator would sum these `layer_error_count` values to maintain the running total. Careful consideration of synchronization and memory access for these counters would be essential in hardware implementations to maintain high throughput. The design would also need to account for the fact that a bit might flip multiple times during the iterative process; the 'corrected' count should ideally reflect the final number of bits that differed from the initial received word and were successfully brought into alignment with the valid codeword structure.","business_analysis":"The patent, \"On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding,\" represents a significant strategic asset with broad commercial applications, particularly in sectors where data integrity and system reliability are paramount. This innovation moves beyond merely correcting errors to providing real-time, actionable intelligence about the health and performance of error correction systems.\n\n**Market Opportunity Size:**\n\nThe market opportunity for this technology is substantial and growing, driven by the exponential increase in data generation, transmission, and storage across virtually all industries. Key target markets include:\n\n1.  **Telecommunications (5G/6G, Satellite Communications):** With increasing demands for ultra-reliable low-latency communication (URLLC) and massive machine-type communication (mMTC), the ability to dynamically monitor and adapt to channel conditions based on real-time error correction feedback is invaluable. The global 5G infrastructure market alone is projected to reach hundreds of billions of dollars, with error correction being a foundational component.\n2.  **Data Centers and Cloud Computing:** As data storage densities increase and network speeds grow, the probability of bit errors rises. Proactive identification of failing storage drives or network links through real-time ECC performance monitoring can prevent costly data loss and downtime. The global data center market is valued at over $200 billion and is expanding rapidly.\n3.  **High-Performance Computing (HPC) and AI/ML Infrastructure:** These environments demand flawless data integrity for complex computations. Real-time error metrics can optimize resource allocation, enhance debugging, and improve the overall reliability of supercomputing clusters.\n4.  **Automotive (Autonomous Driving):** Mission-critical communication and sensor data require absolute reliability. This technology could enable self-diagnosing communication links, ensuring safety and performance.\n5.  **Industrial IoT (IIoT) and Edge Computing:** Robust and self-healing communication for critical infrastructure and smart factories relies heavily on efficient error correction with transparent performance metrics.\n\n**Competitive Advantages:**\n\nThis patent provides a distinct competitive edge by offering a capability largely absent or inefficient in prior art: integrated, on-the-fly error count evaluation. This translates into:\n\n*   **Superior Diagnostics:** Faster identification of root causes for data integrity issues, reducing mean time to repair (MTTR).\n*   **Proactive Maintenance:** Shifting from reactive failure response to predictive maintenance, minimizing unplanned downtime and extending hardware lifecycles.\n*   **Dynamic System Optimization:** Enabling adaptive systems that can adjust parameters (e.g., coding rates, power levels) in real-time based on actual error loads, leading to optimized performance and energy efficiency.\n*   **Enhanced Reliability:** Systems leveraging this technology can offer higher perceived and actual reliability, a critical differentiator in competitive markets.\n\n**Revenue Potential and Business Models:**\n\nRevenue potential can be realized through several business models:\n\n*   **Licensing:** Licensing the patented technology to manufacturers of ECC decoders, network equipment, storage controllers, and chipmakers (ASICs, FPGAs) for integration into their products.\n*   **Integration Services:** Offering expert services for integrating this technology into complex existing systems.\n*   **Proprietary Hardware/Software:** Developing and selling specialized hardware (e.g., network interface cards, storage controllers) or software libraries that incorporate this patented feature.\n*   **Analytics and Monitoring Solutions:** Building higher-level analytics platforms that leverage the real-time error count data to provide comprehensive system health dashboards and predictive insights.\n\n**Strategic Positioning:**\n\nThis innovation positions its adopters as leaders in data reliability and intelligent infrastructure. It allows companies to move up the value chain by offering not just error correction, but error *intelligence*. This is critical for businesses building next-generation infrastructure where 'five nines' (99.999%) availability and data integrity are non-negotiable.\n\n**ROI Projections:**\n\nWhile specific ROI will vary, the benefits are clear:\n\n*   **Reduced Downtime:** Each hour of downtime in a data center can cost millions. Proactive error management significantly reduces this risk.\n*   **Extended Asset Lifespan:** Predictive maintenance based on error trends can prolong the life of expensive hardware.\n*   **Optimized Performance:** Dynamic adaptation leads to more efficient use of bandwidth, processing power, and energy.\n*   **Improved Customer Satisfaction:** Higher reliability translates directly into better service quality and customer loyalty.\n\nThis patent is not merely a technical improvement; it's an enabler for more resilient, intelligent, and cost-effective digital infrastructure, promising substantial returns for those who capitalize on its capabilities.","faqs":[{"answer":"On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding is a patented technology (US-9853661) that introduces a novel method for real-time monitoring of error correction processes. Specifically, it enables a decoder to count the exact number of errors it corrects as it's decoding a piece of data, rather than after the fact.\n\nThis innovation is particularly designed for iterative Error Correcting Codes (ECC), such as Quasi-Cyclic Low Density Parity Check (QC-LDPC) codes, which are widely used in high-performance communication and storage systems. By integrating the error counting directly into the decoding circuitry, the patent eliminates the traditional 'black box' nature of ECC, providing immediate and granular insights into data integrity.\n\nEssentially, it allows systems to understand not just *that* errors are being corrected, but *how many* and *how much effort* is involved, all while the data is being processed. This real-time feedback is crucial for proactive system management and dynamic optimization. Keywords: On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding, ECC decoding, real-time error counting, QC-LDPC, data integrity.","question":"What is On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding?"},{"answer":"The core mechanism of On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding involves embedding the error counting logic directly into the iterative decoding process of an ECC decoder. When the decoder receives an encoded codeword (a block of data), it begins to process it in multiple 'layers.' This layered approach is a common technique used by efficient iterative decoders, especially for QC-LDPC codes.\n\nAs the decoder's circuitry processes each of these layers, it simultaneously generates one or more 'count updates.' These updates represent the number of bits whose 'hard decisions' (their interpretation as a 0 or 1) have changed within that specific layer, indicating an error correction. For instance, if a bit was initially thought to be a '0' but the decoding process in a layer determines it should be a '1', that counts as an update.\n\nThese per-layer count updates are then accumulated over the entire decoding process (across all layers and iterations). This accumulation yields a total number of errors corrected for the entire codeword, providing a comprehensive and real-time metric. The entire process is designed to be 'on-the-fly,' meaning it happens concurrently with the error correction itself, with minimal additional latency. Keywords: On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding, iterative decoding, layered processing, count updates, QC-LDPC, real-time mechanism.","question":"How does On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding work?"},{"answer":"On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding primarily solves the problem of opacity in error correction systems. Historically, while Error Correcting Codes (ECC) are highly effective at repairing corrupted data, system operators and engineers have lacked real-time, granular visibility into *how many* errors are being corrected by the decoder as it operates.\n\nThis 'black box' nature prevents proactive system management. For example, a storage device might be silently struggling, correcting an increasing number of errors, but without this real-time feedback, its degradation might only be discovered when it fails completely or performance drops significantly. Similarly, communication networks struggle to dynamically adapt to varying channel conditions if they don't know the exact error correction load.\n\nThis patent provides the critical diagnostic and performance monitoring data that was previously unavailable. It enables systems to become self-aware of their data integrity status, allowing for predictive maintenance, dynamic resource optimization, and faster troubleshooting, ultimately leading to greater reliability and efficiency. Keywords: On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding, error correction challenges, system opacity, proactive management, data integrity problem, real-time diagnostics.","question":"What problem does On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding solve?"},{"answer":"The patent US-9853661, titled On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding, was filed on December 8, 2015, and published on December 26, 2017. The patent abstract does not list specific inventors or an assignee. Often, patents are assigned to a company, and the inventors are employees of that company.\n\nIn the context of patent filings, the 'Assignee' is the entity (usually a company or institution) that owns the patent rights, while 'Inventors' are the individuals who conceived the invention. Without this information provided in the patent data, it's not possible to name the specific individuals or organization responsible for developing this particular innovation. Keywords: On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding, patent inventors, patent assignee, US-9853661, patent details.","question":"Who invented On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding?"},{"answer":"The On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding offers several transformative benefits for systems reliant on robust data integrity:\n\nFirstly, it provides **real-time diagnostic capabilities**. Operators gain immediate, quantitative feedback on how effectively their ECC systems are correcting errors. This allows for proactive identification of degrading hardware components (like failing memory modules or storage drives) or fluctuating channel conditions in communication networks, long before they lead to critical failures.\n\nSecondly, it enables **dynamic system optimization**. With instant feedback on error correction load, systems can intelligently adapt. For instance, a wireless communication system could dynamically adjust its power output or modulation scheme if it detects a high number of corrected errors, optimizing for both reliability and energy efficiency. Data centers can re-route traffic or reallocate storage to avoid stressed components.\n\nFinally, it leads to **enhanced overall reliability and reduced downtime**. By facilitating predictive maintenance and adaptive responses, this technology significantly minimizes unplanned outages and data loss, translating into substantial operational cost savings and improved service quality for end-users. Keywords: On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding benefits, real-time diagnostics, dynamic optimization, system reliability, predictive maintenance, operational efficiency.","question":"What are the key benefits of On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding?"},{"answer":"The key differentiation of On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding from prior art lies in its ability to provide real-time, in-situ error counting. Traditional Error Correcting Code (ECC) systems primarily focused on the detection and correction of errors, often treating the decoder as a 'black box' from a monitoring perspective.\n\nPrior art methods typically relied on post-decoding analysis, where the decoded data would be compared against the (potentially noisy) received data to determine the number of corrected errors. This approach introduces latency and provides feedback *after* the event, making it difficult for systems to react dynamically. Other methods might use generalized metrics like Block Error Rate (BLER), which indicate overall link quality but not the specific number of corrected bits within an individual codeword.\n\nThis patent, in contrast, integrates the error counting mechanism directly into the iterative decoding process of Quasi-Cyclic Low Density Parity Check (QC-LDPC) codes. It generates 'count updates' for corrected errors as each layer of the codeword is processed, accumulating these counts on-the-fly. This means the error count is available *during* the decoding, providing immediate, granular insight that was previously unavailable, thus enabling truly proactive and adaptive system management. Keywords: On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding, prior art comparison, real-time error counting, ECC differentiation, QC-LDPC advancements, in-situ monitoring.","question":"How is On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding different from prior art?"},{"answer":"The On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding patent has the potential to impact a wide array of industries that rely heavily on data integrity and reliable communication. Its ability to provide real-time error correction metrics is a foundational enhancement for numerous sectors.\n\n**Telecommunications:** This includes 5G, upcoming 6G networks, satellite communications, and fiber optics. The technology will enable base stations and network equipment to dynamically adapt to channel conditions, optimize power consumption, and ensure ultra-reliable low-latency communication (URLLC) for critical applications.\n\n**Data Centers and Cloud Computing:** Hyperscale data centers, cloud providers, and enterprise storage solutions will benefit from predictive maintenance capabilities, allowing for proactive replacement of failing storage drives or network components, significantly reducing downtime and data loss. It will also enhance Service Level Agreements (SLAs).\n\n**High-Performance Computing (HPC) and AI/ML Infrastructure:** These environments demand flawless data integrity for complex computations and large-scale model training. Real-time error intelligence can optimize resource allocation, accelerate debugging, and improve the overall reliability and accuracy of supercomputing clusters.\n\n**Automotive (Autonomous Driving) and Industrial IoT (IIoT):** Mission-critical communication and sensor data in self-driving cars, smart factories, and critical infrastructure require absolute reliability. This innovation can enable self-diagnosing communication links, ensuring safety and operational continuity. Keywords: On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding, industry impact, telecommunications, data centers, cloud computing, HPC, AI/ML, autonomous driving, Industrial IoT.","question":"What industries will On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding impact?"},{"answer":"The patent On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding (US-9853661) has a specific timeline for its filing and publication.\n\nThe **filing date** for this patent was December 8, 2015. This is the date when the patent application was officially submitted to the patent office, marking the beginning of the patent examination process.\n\nThe **publication date** for this patent was December 26, 2017. This is when the patent document was officially published, making its details publicly accessible. The term 'granted' typically refers to the date the patent was officially issued, which is often the same as the publication date for utility patents in the US, indicating that the patent has passed examination and the rights have been conferred. Keywords: On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding, filing date, publication date, patent granted, US-9853661, patent timeline.","question":"When was On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding filed/granted?"},{"answer":"The commercial applications of On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding are extensive, spanning any sector where data integrity, system reliability, and operational efficiency are critical. This patent unlocks new commercial value by providing actionable, real-time insights into error correction performance.\n\n**Network Equipment and Chipset Manufacturers:** Companies developing 5G/6G base stations, routers, switches, and communication chipsets can integrate this technology to offer products with superior adaptive capabilities and diagnostic features. This allows for dynamic adjustments in signal processing, optimizing bandwidth, power, and latency in real-world conditions.\n\n**Storage System Vendors:** Manufacturers of SSDs, HDDs, and storage controllers can leverage this innovation to build more intelligent and reliable storage solutions. Real-time error counts can trigger proactive data migration, drive health monitoring, and predictive failure analysis, reducing data loss and maintenance costs.\n\n**Cloud Service Providers and Data Center Operators:** These entities can use the technology for enhanced infrastructure management. It enables precise identification of degrading hardware, dynamic workload balancing, and more robust Service Level Agreements (SLAs) for their clients, ultimately improving uptime and reducing operational expenses.\n\n**Embedded Systems and IoT Device Developers:** For devices in critical applications like autonomous vehicles, industrial control systems, and medical equipment, this technology ensures the highest level of data integrity and self-diagnosis, crucial for safety and continuous operation. Keywords: On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding, commercial applications, network equipment, storage systems, cloud services, data centers, embedded systems, IoT devices, business value.","question":"What are the commercial applications of On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding?"},{"answer":"The future developments stemming from On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding are poised to further enhance the intelligence and resilience of digital systems. This foundational patent opens doors for several advanced capabilities.\n\nOne key area is **adaptive decoding algorithms**. With real-time error counts, future decoders could dynamically adjust their own parameters, such as the number of iterations performed, to optimize for power consumption in low-error conditions or maximize reliability when the channel is highly noisy. This moves beyond static configurations to truly intelligent, self-optimizing error correction.\n\nAnother significant development lies in **integration with Artificial Intelligence and Machine Learning (AI/ML)**. The continuous stream of real-time error data provided by this technology is invaluable for training AI models. These models could then predict hardware failures with greater accuracy, identify subtle patterns of system degradation, or even pinpoint the root cause of errors with unprecedented precision, leading to fully autonomous and self-healing infrastructure.\n\nFurthermore, we can expect **more granular error localization**. By analyzing the per-layer count updates, future systems might be able to infer not just *how many* errors, but *where* they are occurring within a data block or even physically within a system, facilitating more targeted repairs and diagnostics. Ultimately, this innovation will contribute to a future of ubiquitous, cognitively aware communication and computing systems. Keywords: On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding, future developments, adaptive decoding, AI/ML integration, predictive maintenance, error localization, self-healing systems, intelligent infrastructure.","question":"What are the future developments expected for On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding?"}],"topics":["On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding","ECC decoding","error correction","QC-LDPC","real-time error counting","technical","evaluation","number"],"tech_cluster":null},"seo":{"title":"Real-time ECC Error Counting - On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding US-9853661","description":"Discover On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding, a patent enabling real-time error counting in iterative QC-LDPC decoding. Enhance data integrity and system diagnostics with this breakthrough.","keywords":["On-the-fly Evaluation of the Number of Errors Corrected in Iterative Ecc Decoding","ECC decoding","error correction","QC-LDPC","real-time error counting","data integrity","patent US-9853661","iterative decoding","error detection","communication systems","data storage","digital reliability"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9853661","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9853661","citation_suggestion":"Patentable. \"On-the-fly evaluation of the number of errors corrected in iterative ECC decoding\" (US-9853661). https://patentable.app/patents/US-9853661","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9853661","json":"https://patentable.app/api/llm-context/US-9853661","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T03:54:25.335Z"}