{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9853504","patent":{"patent_number":"US-9853504","title":"Data extraction threshold circuit and method","assignee":null,"inventors":[],"filing_date":"2014-09-30T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H02J","H02J","H02J","H04B","H04B","H04B"],"num_claims":13,"abstract":"A circuit for setting a threshold level for extracting data from a signal stream includes a terminal couplable to the signal stream. A peak detector is coupled to the terminal. A valley detector is coupled to the terminal. A comparator is coupled to outputs of the peak detector and the valley detector for generating a threshold voltage for extracting data or commands from the signal stream. A method of extracting data from a signal stream including: peak detecting the signal stream to generate a first signal; valley detecting the signal stream to generate a second signal; combining the first and second signals to generate a threshold signal; and extracting data from the signal stream utilizing the threshold level signal."},"analysis":{"summary":"The **Data Extraction Threshold Circuit and Method** patent (US-9853504) introduces a groundbreaking approach to reliably extract data from signal streams, particularly in environments prone to noise and amplitude fluctuations. Its core innovation lies in dynamically setting an optimal threshold level, moving beyond the limitations of static thresholding techniques.\n\nAt the heart of this invention is a specialized circuit that includes a terminal for coupling to the signal stream, a peak detector, a valley detector, and a comparator. The peak detector continuously identifies the highest voltage points of the incoming signal, while the valley detector tracks the lowest. These two dynamic references are then fed into the comparator, which intelligently combines them to generate an adaptive threshold voltage. This generated threshold is then used to accurately differentiate legitimate data bits or commands from background noise, ensuring robust data extraction.\n\nThe problem this technology solves is pervasive in modern electronics: how to maintain data integrity when signal characteristics are unstable. Whether due to varying power levels, electromagnetic interference, or channel degradation, many systems struggle to interpret signals reliably. This patent's adaptive thresholding mechanism ensures that even as signal amplitudes fluctuate, the reference point for data extraction adjusts in real-time, drastically reducing errors and improving overall system performance.\n\nFrom a technical perspective, the method involves a four-step process: peak detecting the signal stream, valley detecting it, combining these two derived signals to create the dynamic threshold, and finally, extracting data utilizing this precise, adaptive level. This elegant yet powerful approach offers significant advantages in terms of noise immunity, robustness to signal fading, and a reduction in the need for manual calibration.\n\nThe business value and applications of this innovation are substantial. Industries relying on precise data acquisition, such as IoT, industrial automation, telecommunications, and automotive electronics, stand to benefit immensely. By enabling more reliable data extraction, this patent paves the way for more fault-tolerant systems, reduced maintenance costs, enhanced operational efficiency, and improved decision-making based on cleaner data. It addresses a fundamental need for reliability in an increasingly data-dependent world, offering a competitive edge to companies that integrate this technology.","layman_explanation":"### What Problem Does This Solve?\n\nImagine you're trying to understand a critical message being sent over a walkie-talkie. Sometimes the signal is strong and clear, but other times it's faint, crackly, or gets interference from other radios. If you set your 'listening volume' (or threshold) too low, you'll pick up a lot of static and misinterpret it as part of the message. If you set it too high, you'll miss the quiet parts of the message entirely. This is a common problem in the digital world for everything from Wi-Fi signals and IoT sensors to medical devices and industrial controls.\n\nThe core business problem is **unreliable data leading to flawed decisions, system errors, and increased operational costs.** Existing solutions often rely on fixed thresholds, which are inflexible. They work fine in perfect conditions but fail spectacularly when signal quality fluctuates, causing dropped data packets, misread commands, and ultimately, a lack of trust in the underlying data. This patent addresses this fundamental weakness, offering a robust solution where current methods fall short.\n\n### How Does It Work?\n\nThe **Data Extraction Threshold Circuit and Method** patent introduces an ingenious, adaptive way to 'listen' to these signals. Instead of a fixed listening volume, this technology constantly adjusts its 'listening level' based on the actual strength of the incoming message. Think of it like a smart radio that automatically and instantly tunes itself to the perfect volume for every word, even as the signal strength changes.\n\nConceptually, it works by having two specialized 'ears': one that listens for the loudest part of the signal (the 'peak') and another that listens for the quietest part (the 'valley'). It's like knowing the highest and lowest points of your friend's voice in a noisy room. Then, a clever internal system quickly calculates the exact middle point between that highest peak and lowest valley. This middle point becomes the *dynamic threshold*.\n\nSo, if the signal (your friend's voice) goes above this dynamically calculated middle line, it's interpreted as one piece of data (say, a '1'). If it falls below, it's another ('0'). Because this middle line constantly moves and adapts with the signal's real-time fluctuations, it can accurately extract the message even when the signal is weak, strong, or full of interference. It's all about precision and adaptation, without needing a human to constantly adjust settings.\n\n### Why Does This Matter?\n\nThis innovation matters immensely for businesses operating in a data-driven world. Its market impact is profound: it enables the deployment of highly reliable systems in environments previously considered too challenging for consistent data collection. For example, imagine IoT sensors in remote agricultural fields, smart city infrastructure, or critical components in autonomous vehicles where every piece of data must be accurate.\n\n**Competitive advantages** for companies adopting this technology are significant. They can offer products with superior data integrity, leading to fewer errors, reduced downtime, and lower maintenance costs for their customers. This translates into higher customer satisfaction, stronger brand reputation, and the ability to command premium pricing for more robust solutions. The potential **ROI** comes from reduced data loss, improved operational efficiency, and the opening of new market opportunities where reliable data extraction is a prerequisite. It builds trust in data, which is invaluable for any modern enterprise.\n\n### What's Next?\n\nLooking ahead, the **Data Extraction Threshold Circuit and Method** has the potential to become a foundational technology across many sectors. Its principles could be integrated into next-generation communication chips, advanced sensor systems, and even specialized processors for AI and machine learning, where clean input data is paramount. We can expect to see wider market adoption in critical infrastructure, smart manufacturing, and any application where robust, real-time data extraction is non-negotiable. This technology represents a crucial step towards truly fault-tolerant and intelligent digital systems, ensuring that the foundational layer of data communication is as reliable as possible.","technical_analysis":"The **Data Extraction Threshold Circuit and Method** patent (US-9853504) presents a sophisticated solution for enhancing the reliability of data extraction from signal streams, a critical challenge in modern digital systems. This invention fundamentally addresses the limitations of static thresholding, which often fails in dynamic or noisy environments where signal amplitudes fluctuate unpredictably. The technical elegance lies in its adaptive nature, achieved through a precise combination of detection and comparison circuitry.\n\n**Technical Architecture Overview:**\nThe patented circuit comprises several key interconnected components:\n1.  **Terminal (Input Stage):** The system begins with a terminal designed for direct coupling to the incoming signal stream. This interface ensures that the raw, often noisy, analog signal is presented for processing.\n2.  **Peak Detector:** Connected to the input terminal, the peak detector is responsible for continuously monitoring and capturing the highest voltage level (peak) of the signal within a defined time window. This is typically implemented using a diode and a capacitor, where the capacitor charges to the peak voltage and slowly discharges, ensuring it holds the most recent peak value.\n3.  **Valley Detector:** Parallel to the peak detector, the valley detector is also coupled to the input terminal. Its function is to track and hold the lowest voltage level (valley) of the signal. This can be realized using a similar diode-capacitor arrangement, but configured to detect and hold the minimum voltage.\n4.  **Comparator:** The outputs of both the peak detector and the valley detector are fed into a comparator. Crucially, this comparator does not perform the direct data comparison. Instead, its role is to process the peak and valley signals to generate the adaptive threshold voltage. In its simplest form, it might calculate the average: `Threshold = (Peak_Voltage + Valley_Voltage) / 2`. More advanced implementations could use weighted averages or incorporate hysteresis for further noise immunity. The output of this comparator is the dynamic threshold voltage.\n5.  **Data Extraction Logic:** While not explicitly detailed as a separate block in the abstract's circuit description, the method clearly implies a final stage where the original signal stream is compared against the generated threshold voltage to extract the binary data or commands. This would typically involve another comparator whose output directly represents the extracted digital stream (e.g., '1' if signal > threshold, '0' if signal < threshold).\n\n**Algorithm Specifics (Method of Extraction):**\nThe method outlined in this patent precisely mirrors the circuit's operation:\n1.  **Peak Detecting:** The incoming signal stream undergoes continuous peak detection. This generates a 'first signal' which tracks the upper envelope of the input waveform.\n2.  **Valley Detecting:** Simultaneously, the same input signal stream is subjected to valley detection, producing a 'second signal' that tracks the lower envelope.\n3.  **Combining Signals:** The 'first signal' (peak) and 'second signal' (valley) are then combined. This combination is the critical step for generating the 'threshold signal'. The simplest combination is an arithmetic mean, effectively placing the threshold in the center of the signal's amplitude swing. This makes the threshold inherently adaptive to changes in signal strength.\n4.  **Extracting Data:** The final step involves comparing the original signal stream against this dynamically generated 'threshold signal'. This comparison yields the extracted binary data or commands. For example, if the signal is above the threshold, it could be interpreted as a logical '1', and if below, a logical '0'.\n\n**Performance Characteristics and Integration Patterns:**\nThis adaptive thresholding mechanism offers superior performance characteristics compared to fixed threshold systems:\n*   **Enhanced SNR Tolerance:** The system can operate reliably at lower SNRs because the threshold adjusts to the signal's actual amplitude, minimizing errors from noise-induced fluctuations.\n*   **Robustness to Amplitude Variations:** It is highly resilient to variations in signal amplitude caused by channel fading, component aging, or power supply ripple, ensuring consistent data integrity.\n*   **Reduced Bit Error Rate (BER):** By providing a more accurate reference for comparison, the probability of misinterpreting data bits is significantly reduced.\n*   **Self-Calibration:** The dynamic nature of the threshold generation means the circuit effectively self-calibrates to the incoming signal, reducing the need for manual adjustments or complex calibration routines during deployment.\n\nIntegration patterns for this technology could involve embedding the circuit directly into transceiver front-ends, analog-to-digital converters (ADCs), or specialized data acquisition modules. Its low-latency, real-time operation makes it suitable for applications requiring immediate data interpretation, such as high-speed communication links or critical control systems. The underlying principles can also be implemented in software-defined radio (SDR) systems or digital signal processors (DSPs) for post-processing, though the patent emphasizes a hardware-centric approach for immediate threshold generation.","business_analysis":"The **Data Extraction Threshold Circuit and Method** patent (US-9853504) addresses a fundamental pain point across numerous technology sectors: the reliable extraction of data from noisy and fluctuating signal streams. This innovation carries significant commercial implications, offering substantial market opportunity, competitive advantages, and potential for diverse business models.\n\n**Market Opportunity Size:**\nThe market for robust data acquisition and communication solutions is vast and growing. Industries like IoT, industrial automation, telecommunications (5G/6G infrastructure), automotive (ADAS, autonomous driving), medical devices, and consumer electronics all rely heavily on precise signal interpretation. The global IoT market alone is projected to reach trillions of dollars in the coming years, with billions of devices generating data in often challenging environments. Each of these devices, from simple sensors to complex embedded systems, could benefit from more reliable data extraction. The problem of signal integrity is universal, making the potential market for this technology virtually boundless across any application involving analog-to-digital conversion or digital signal recovery.\n\n**Competitive Advantages:**\nCompanies that integrate the principles of the Data Extraction Threshold Circuit and Method can gain several key competitive advantages:\n1.  **Superior Reliability:** Offering products with inherently lower data error rates and higher uptime in adverse conditions differentiates them from competitors relying on less adaptive, static thresholding methods.\n2.  **Reduced Operational Costs:** Fewer data retransmissions due to errors mean lower power consumption for devices (critical for IoT), reduced bandwidth usage, and less need for costly on-site troubleshooting or maintenance related to data integrity issues.\n3.  **Enhanced Performance in Challenging Environments:** This technology enables deployment in environments previously considered too noisy or unstable for reliable data collection, opening up new market segments and use cases.\n4.  **Faster Time-to-Market:** The self-calibrating nature of the adaptive threshold can simplify development and deployment, accelerating product cycles.\n5.  **Data Quality as a Differentiator:** In an era where data is king, the ability to provide cleaner, more trustworthy data feeds directly translates into better analytics, smarter AI models, and more informed decision-making for end-users.\n\n**Revenue Potential and Business Models:**\nThe revenue potential for this innovation is significant, spanning various business models:\n*   **Licensing:** The patent holders could license the technology to chip manufacturers, IoT platform providers, or telecommunications equipment companies, generating substantial royalty streams.\n*   **Component Sales:** Developing and selling integrated circuits (ICs) or intellectual property (IP) cores that implement the Data Extraction Threshold Circuit and Method directly into hardware. This could be a specialized chip for specific industries or a general-purpose signal processing module.\n*   **System Integration:** Offering consulting services or custom solutions to integrate this adaptive thresholding into existing or new product lines for clients in targeted industries.\n*   **Enhanced Product Offerings:** Companies leveraging this technology internally can build higher-performing, more reliable products that command premium pricing and capture greater market share.\n\n**Strategic Positioning:**\nStrategically, this patent positions its implementers at the forefront of robust signal processing. It moves the industry towards 'intelligent' data acquisition, where systems are not just collecting data but are actively adapting to ensure its quality at the most fundamental level. This is crucial for building trust in autonomous systems and for realizing the full potential of AI and machine learning, which are highly dependent on clean input data. Companies focused on mission-critical applications (e.g., medical, aerospace, defense) will find this technology particularly appealing due to its emphasis on reliability.\n\n**ROI Projections:**\nInvestment in this technology, either through licensing or direct implementation, promises a strong return on investment. The ROI can be measured in terms of:\n*   **Reduced Warranty Claims/Returns:** Due to improved product reliability.\n*   **Increased Customer Satisfaction:** Leading to higher retention and market share.\n*   **New Market Penetration:** Ability to serve previously inaccessible segments due to signal challenges.\n*   **Operational Efficiency Gains:** Through reduced data errors and retransmissions.\n*   **Competitive Moat:** Establishing a technological lead that is difficult for competitors to replicate without similar adaptive capabilities. The long-term savings and increased revenue from superior product performance will likely far outweigh the initial investment in incorporating this advanced data extraction method.","faqs":[{"answer":"The **Data Extraction Threshold Circuit and Method** (US-9853504) is an innovative patent that describes a circuit and a corresponding method for reliably extracting data from a signal stream. Its core function is to dynamically set an optimal threshold level, which is crucial for accurately distinguishing between actual data and noise, especially in environments where signal strength or characteristics can fluctuate.\n\nThis invention moves beyond traditional static thresholding techniques, which often fail when signal amplitudes vary. By adapting its 'listening level' in real-time, the system ensures that data bits or commands are interpreted correctly, regardless of the signal's current state. This makes it a foundational technology for improving data integrity across a wide range of electronic systems.\n\nEssentially, the Data Extraction Threshold Circuit and Method provides a robust solution to a pervasive problem: how to get clean, trustworthy data from messy, real-world signals. It's about making electronic communication more reliable and less prone to errors caused by signal variability.","question":"What is Data Extraction Threshold Circuit and Method?"},{"answer":"The **Data Extraction Threshold Circuit and Method** operates on a principle of dynamic adaptation. Instead of using a fixed reference point, this technology intelligently derives its threshold from the signal itself.\n\nHere’s a simplified breakdown:\n\n1.  **Peak and Valley Detection:** The circuit continuously monitors the incoming signal stream. It employs a peak detector to identify and track the highest voltage point of the signal, and a valley detector to track its lowest voltage point. This provides a real-time understanding of the signal's current amplitude range.\n2.  **Adaptive Threshold Generation:** The outputs from both the peak and valley detectors are then fed into a comparator. This comparator's role is to combine these two dynamic measurements to generate an optimal threshold voltage. Typically, this threshold is calculated as the midpoint between the detected peak and valley, meaning it constantly adjusts to sit perfectly within the signal's current swing.\n3.  **Data Extraction:** Finally, the original signal stream is compared against this dynamically generated threshold. If the signal is above the threshold, it's interpreted as one binary state (e.g., a '1'); if below, it's the other (e.g., a '0'). This adaptive comparison ensures accurate data extraction even when the signal's strength or baseline shifts.\n\nThis continuous, self-adjusting process is what makes the Data Extraction Threshold Circuit and Method so effective at isolating legitimate data from noise and interference.","question":"How does Data Extraction Threshold Circuit and Method work?"},{"answer":"The **Data Extraction Threshold Circuit and Method** patent primarily solves the critical problem of **unreliable data extraction in dynamic or noisy signal environments**. In many electronic systems, data is transmitted as varying electrical signals. To convert these into digital information (0s and 1s), a threshold voltage is used to differentiate between high and low signal states.\n\nTraditional methods often rely on a fixed, predetermined threshold. This approach works poorly when the signal's amplitude fluctuates (e.g., due to distance, interference, or power supply changes) or when there's significant background noise. A fixed threshold might then misinterpret legitimate data as noise, or noise as data, leading to errors, data loss, and system malfunctions.\n\nThis invention overcomes this by providing an adaptive, real-time threshold. It ensures that the system always has the most accurate reference point for data interpretation, drastically reducing bit errors and improving the overall reliability and integrity of extracted data. It's a fundamental solution to a pervasive challenge in digital communication and data acquisition.","question":"What problem does Data Extraction Threshold Circuit and Method solve?"},{"answer":"The patent **US-9853504, titled \"Data Extraction Threshold Circuit and Method\"**, does not list specific inventors in the provided data. The patent abstract and details typically include inventor information, but this was omitted from the prompt's input. Therefore, based on the provided information, the specific inventors are not known.\n\nPatents are often the result of collaborative efforts within research and development teams, sometimes from individuals within a company or academic institution. The assignee, which is also not provided in the prompt, would typically be the entity to whom the patent rights are assigned, often the company or organization that funded the research and development.","question":"Who invented Data Extraction Threshold Circuit and Method?"},{"answer":"The **Data Extraction Threshold Circuit and Method** offers several significant benefits that enhance the performance and reliability of electronic systems:\n\n1.  **Superior Data Reliability:** By dynamically adapting the data extraction threshold, this technology drastically reduces bit errors and data loss, even in highly variable or noisy signal environments. This leads to more trustworthy data for critical applications.\n2.  **Enhanced Noise Immunity:** The adaptive nature allows the system to effectively filter out various forms of noise and interference, as the threshold is always optimally positioned between the signal's valid states, maximizing the noise margin.\n3.  **Robustness to Signal Fluctuations:** It automatically compensates for changes in signal amplitude caused by factors like channel fading, power supply variations, or component aging. This ensures consistent performance over time and across different operating conditions.\n4.  **Reduced Calibration and Maintenance:** The self-adjusting capability minimizes or eliminates the need for manual calibration or complex adaptive equalization, simplifying system design, deployment, and long-term maintenance.\n5.  **Improved Power Efficiency:** By reducing the number of errors, the need for data retransmissions is minimized, leading to lower power consumption in communication devices, which is particularly beneficial for battery-powered IoT nodes. These benefits make the Data Extraction Threshold Circuit and Method a crucial advancement for robust digital communication.","question":"What are the key benefits of Data Extraction Threshold Circuit and Method?"},{"answer":"The **Data Extraction Threshold Circuit and Method** distinguishes itself from prior art primarily through its **dynamic, real-time adaptive thresholding** mechanism, a significant departure from traditional static approaches.\n\nPrior art typically relies on **fixed thresholds**. These are predetermined voltage levels against which a signal is compared to extract data. While simple, fixed thresholds are highly vulnerable to changes in signal amplitude, DC offset, or environmental noise. If the signal weakens, legitimate data might fall below the fixed threshold; if noise spikes, it might incorrectly cross the threshold, leading to errors. Even methods like hysteresis comparators, while improving stability, still operate on fixed, non-adaptive thresholds.\n\nMore advanced prior art, such as **digital adaptive equalization**, processes signals in the digital domain *after* initial analog-to-digital conversion. While effective, these methods are computationally intensive, introduce latency, and critically, operate on data that might already be corrupted if the initial analog thresholding was flawed.\n\nIn contrast, the Data Extraction Threshold Circuit and Method generates its threshold **dynamically in the analog domain**, directly from the incoming signal's current peak and valley levels. This allows it to adapt instantaneously to signal fluctuations and noise *before* data is even extracted, providing a more fundamental and robust solution at the earliest possible stage of signal processing. This proactive adaptation is its key differentiating factor.","question":"How is Data Extraction Threshold Circuit and Method different from prior art?"},{"answer":"The **Data Extraction Threshold Circuit and Method** patent has the potential to impact a wide array of industries that rely on robust and reliable data acquisition and communication. Its ability to extract clean data from noisy signals is a universal need across modern technology sectors.\n\n1.  **Internet of Things (IoT):** Essential for billions of sensors and smart devices operating in diverse, often challenging environments where power is limited and interference is common (e.g., smart agriculture, industrial IoT, smart cities).\n2.  **Telecommunications:** Improves the reliability of wireless (e.g., 5G/6G) and wired communication systems by ensuring better signal integrity at the physical layer, leading to fewer dropped connections and higher data throughput.\n3.  **Automotive Electronics:** Crucial for Advanced Driver-Assistance Systems (ADAS) and autonomous vehicles, where precise and error-free sensor data (radar, lidar, camera) is paramount for safety and real-time decision-making.\n4.  **Industrial Automation and Control:** Enhances the reliability of command signals and sensor feedback in factories and industrial settings, which are often prone to electromagnetic interference, improving operational efficiency and safety for Industry 4.0 applications.\n5.  **Medical Devices:** Ensures accurate data from patient monitoring equipment, diagnostic tools, and wearable health devices, where data integrity can be life-critical.\n\nEssentially, any industry where data integrity from analog signals is critical, and operating environments are dynamic or noisy, stands to benefit significantly from this innovation.","question":"What industries will Data Extraction Threshold Circuit and Method impact?"},{"answer":"The **Data Extraction Threshold Circuit and Method** patent, identified by its number US-9853504, has specific dates associated with its lifecycle.\n\nAccording to the patent data:\n\n*   **Filing Date:** The application for this patent was filed on **September 30, 2014**.\n*   **Publication Date:** The patent was officially published on **December 26, 2017**.\n\nThese dates mark the beginning of the patent's journey through the examination process and its eventual grant and public dissemination. The filing date establishes the priority date for the invention, while the publication date signifies when the patent details become publicly available, allowing others to learn about the innovation and its claims. Understanding these dates is key for tracking the patent's legal status and its entry into the public domain of technical knowledge.","question":"When was Data Extraction Threshold Circuit and Method filed/granted?"},{"answer":"The commercial applications of the **Data Extraction Threshold Circuit and Method** are extensive, driven by the universal need for reliable data extraction in a connected world. This patent provides a foundational technology that can enhance product performance across numerous sectors.\n\n1.  **IoT Devices and Platforms:** Integration into low-power wide-area (LPWA) transceivers for smart sensors, asset trackers, and environmental monitors, enabling reliable data collection in remote or energy-constrained environments. This leads to more robust smart home, smart city, and industrial IoT solutions.\n2.  **Communication Equipment:** Found in base stations, modems, and transceivers for 5G, Wi-Fi, and satellite communication systems to improve signal reception and reduce bit error rates, ensuring clearer voice, video, and data transmission.\n3.  **Automotive & Aerospace:** Embedded in sensor interfaces for ADAS, autonomous driving, and avionics, ensuring the integrity of critical sensor data (e.g., from radar, lidar, ultrasonic sensors) for safety and navigation.\n4.  **Industrial Control Systems:** Used in programmable logic controllers (PLCs), distributed control systems (DCS), and other factory automation equipment to ensure precise and error-free command signals and sensor feedback in electromagnetically noisy environments.\n5.  **Consumer Electronics:** Potentially improving audio/video signal processing, remote controls, and wireless peripherals for more reliable operation.\n6.  **Medical and Healthcare:** Applied in patient monitoring devices, diagnostic equipment, and medical implants to ensure the accurate capture of physiological signals, where data errors can have serious consequences. The commercial value lies in creating more robust, efficient, and trustworthy products and systems.","question":"What are the commercial applications of Data Extraction Threshold Circuit and Method?"},{"answer":"The **Data Extraction Threshold Circuit and Method** patent lays a robust foundation for future innovations in signal processing. Several key developments can be anticipated:\n\n1.  **Miniaturization and Integration:** Expect to see this adaptive thresholding circuit integrated directly into highly compact, low-power system-on-chip (SoC) designs for next-generation IoT devices, wearable technology, and embedded systems. This will make robust data extraction a standard feature rather than a specialized add-on.\n2.  **Advanced Adaptive Algorithms:** While the patent outlines a clear method, future developments may involve more sophisticated algorithms for combining peak and valley signals, potentially incorporating machine learning or AI elements to predict and adapt to even more complex noise patterns or signal distortions. This could lead to 'cognitive' signal processing at the analog front-end.\n3.  **Cross-Domain Applications:** Beyond traditional digital communication, the principles could be adapted for new domains like quantum computing interconnects (where extreme signal precision is needed), bio-signal processing (extracting subtle signals from noisy biological data), or even specialized sensor fusion in highly dynamic environments.\n4.  **Standardization and Ubiquity:** As the benefits become widely recognized, the core concepts of adaptive thresholding could become a de facto standard in future communication protocols or data acquisition benchmarks, ensuring a baseline level of signal integrity across diverse platforms.\n\nUltimately, the Data Extraction Threshold Circuit and Method sets the stage for a future where data integrity is inherently built into the very fabric of electronic communication, enabling more reliable, autonomous, and intelligent systems across all sectors.","question":"What are the future developments expected for Data Extraction Threshold Circuit and Method?"}],"topics":["data extraction","threshold circuit","signal processing","peak detector","valley detector","challenge","extracting","clean"],"tech_cluster":null},"seo":{"title":"Data Extraction Threshold Circuit and Method - Patent US-9853504","description":"Discover the Data Extraction Threshold Circuit and Method patent for dynamic signal processing. Enhances data reliability by adaptively setting thresholds, crucial for IoT and comms.","keywords":["data extraction","threshold circuit","signal processing","peak detector","valley detector","adaptive threshold","robust communication","IoT data integrity","patent US-9853504","signal integrity","data reliability","noise reduction","digital communication","sensor data"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9853504","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-9853504","citation_suggestion":"Patentable. \"Data extraction threshold circuit and method\" (US-9853504). https://patentable.app/patents/US-9853504","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9853504","json":"https://patentable.app/api/llm-context/US-9853504","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T12:04:05.037Z"}