{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9852737","patent":{"patent_number":"US-9852737","title":"Coding vectors decomposed from higher-order ambisonics audio signals","assignee":null,"inventors":[],"filing_date":"2015-05-14T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G10L","G10L","G10L"],"num_claims":21,"abstract":"In general, techniques are described for coding of vectors decomposed from higher order ambisonic coefficients. A device comprising a processor and a memory may perform the techniques. The processor may be configured to obtain from a bitstream data indicative of a plurality of weight values that represent a vector that is included in a decomposed version of the plurality of HOA coefficients. Each of the weight values may correspond to a respective one of a plurality of weights in a weighted sum of code vectors that represents the vector and that includes a set of code vectors. The processor may further be configured to reconstruct the vector based on the weight values and the code vectors. The memory may be configured to store the reconstructed vector."},"analysis":{"summary":"The patent \"Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals\" (US-9852737) introduces a pivotal innovation for the efficient coding and transmission of Higher-Order Ambisonics (HOA) audio signals, which are crucial for immersive spatial audio experiences. The core innovation lies in a technique where complex HOA coefficients are intelligently decomposed into vectors, which are then represented by a compact set of weight values and code vectors.\n\nThis technology directly addresses the significant problem of high data rates associated with high-fidelity spatial audio. Traditional HOA signals are data-intensive, posing challenges for real-time streaming, storage, and processing, especially in bandwidth-constrained environments like virtual reality (VR), augmented reality (AR), and advanced streaming platforms. Existing compression methods often compromise spatial accuracy or overall audio quality.\n\nThe key technical approach involves a device, typically with a processor and memory, that obtains specific weight values from a bitstream. These weight values correspond to a weighted sum of code vectors, which collectively represent a decomposed version of the original HOA coefficients. The processor then uses these weight values and the local set of code vectors to accurately reconstruct the original spatial audio vector. This reconstructed vector is stored and ready for playback, delivering a rich, multi-directional sound experience with significantly reduced data overhead.\n\nThe business value and applications are substantial. This innovation enables superior immersive audio quality for VR/AR gaming, virtual concerts, telepresence, and professional audio production, all while requiring less bandwidth and computational power. It democratizes access to high-fidelity spatial audio, opening new market opportunities for content creators and platform providers. Companies can offer more compelling and reliable immersive experiences, gaining a competitive edge. The reduced technical burden on client devices also expands the potential user base.\n\nOverall, this patent represents a strategic advancement in audio technology, poised to transform the landscape of digital entertainment and communication by making efficient, high-quality spatial audio a ubiquitous reality. It offers a scalable solution for the future of immersive sound delivery.","layman_explanation":"### What Problem Does This Solve?\nImagine you're building a virtual world or a highly immersive game. You want the sound to be as realistic as possible – not just left and right, but coming from above, below, and all around you, just like in real life. This is what 'spatial audio,' particularly 'Higher-order Ambisonics (HOA),' aims to achieve. It creates a truly 3D soundscape. The big challenge, however, is that this kind of high-fidelity spatial audio generates an enormous amount of digital data. Sending all that data over the internet, or even storing it efficiently, can be incredibly slow and expensive. It's like trying to stream a super high-resolution movie on a slow internet connection – it buffers, it lags, and the experience is ruined. This data overload is a major roadblock for delivering seamless, high-quality immersive experiences in virtual reality (VR), augmented reality (AR), and advanced streaming platforms. Existing solutions often compromise on sound quality or require too much bandwidth, limiting widespread adoption.\n\n### How Does It Work?\nThe patent \"Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals\" offers a brilliant solution to this data dilemma. Think of it like a sophisticated compression technique, but specifically designed for the complexities of 3D sound. Instead of transmitting every single piece of data that makes up the spatial sound, this technology first 'decomposes' the complex HOA audio signals into smaller, more fundamental 'vectors.' Imagine you have a very detailed drawing. Instead of sending the entire drawing pixel by pixel, this system identifies the core shapes and patterns within that drawing. These core shapes are like 'code vectors' – a predefined library of common sound elements. The system then calculates simple 'weight values' that act as instructions, telling the receiving device how to combine these basic 'code vectors' to perfectly reconstruct the original, rich 3D sound. So, instead of a massive data file, you're sending a much smaller 'recipe' (the weight values) that, when combined with the known ingredients (code vectors), recreates the full, immersive auditory experience. This process happens almost instantaneously, ensuring that the sound you hear is both high-quality and delivered without lag.\n\n### Why Does This Matter?\nThis innovation is a game-changer for several reasons. Firstly, it dramatically reduces the bandwidth required to deliver high-fidelity spatial audio. This means smoother streaming, less buffering, and a more reliable experience for users in VR, AR, and other immersive applications. For businesses, this translates into lower operational costs for content delivery and the ability to reach a wider audience, even those with less robust internet connections. Secondly, it enhances the actual user experience. Superior immersive audio makes virtual worlds feel more real, improving engagement in games, training simulations, and virtual events. Companies can differentiate their products and services by offering a truly premium auditory experience. Thirdly, this technology unlocks new possibilities for content creation and distribution. Developers can build more sophisticated and compelling soundscapes without being constrained by technical limitations, fostering innovation across the immersive media industry. The potential return on investment (ROI) for companies adopting this technology is significant, as it provides a competitive edge in a rapidly growing market.\n\n### What's Next?\nThe \"Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals\" patent lays a foundational brick for the future of immersive sound. We can expect to see this technology integrated into next-generation VR headsets, gaming consoles, smart speakers, and streaming platforms, making high-quality spatial audio a standard feature rather than a niche offering. Its adoption will accelerate the development of more realistic metaverse experiences, advanced telepresence systems that make remote interactions feel truly present, and entirely new forms of interactive entertainment. For investors, this represents a crucial technology underpinning the growth of the spatial computing era, offering opportunities in licensing, platform development, and content creation that leverages this efficient audio delivery.","technical_analysis":"The patent \"Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals\" (US-9852737) details a sophisticated method for efficiently encoding and decoding Higher-Order Ambisonics (HOA) audio signals, a critical component for realistic spatial audio reproduction. This invention addresses the inherent data verbosity of HOA representations, which, while capable of capturing complex sound fields, pose significant challenges for bandwidth-limited transmission and real-time processing.\n\n**Technical Architecture and Data Flow:**\nThe system described in this patent fundamentally comprises an encoding stage (implicitly, though the patent focuses on the decoding/reconstruction part) and a decoding/reconstruction stage. The abstract primarily outlines the receiver-side architecture. A device, equipped with a processor and memory, is configured to receive a bitstream. This bitstream contains data indicative of a plurality of 'weight values.' These weight values are not raw audio samples but rather parameters representing a 'vector' that has been 'decomposed' from a set of HOA coefficients. The memory is crucial for storing the reconstructed vector and potentially a 'codebook' of 'code vectors.'\n\n**Algorithm Specifics: Decomposition and Reconstruction:**\nThe core algorithmic innovation lies in the representation of a complex HOA vector as a weighted sum of a predefined set of code vectors. Mathematically, if an HOA coefficient vector is `H`, the system approximates `H` as `H_reconstructed = Σ (w_i * C_i)`, where `w_i` are the received weight values, and `C_i` are the code vectors. Each `w_i` corresponds to a respective weight in this sum. This implies that the original HOA coefficients are transformed into a lower-dimensional representation (the vector) and then further compressed by representing this vector as a linear combination of a fixed, smaller set of basis vectors (the code vectors).\n\nThe encoding process (prior to the bitstream transmission) would involve: \n1.  **HOA Coefficient to Vector Transformation:** Converting raw HOA coefficients into a specific vector representation. This could involve grouping, dimensionality reduction, or other forms of feature extraction from the HOA data.\n2.  **Codebook Generation/Selection:** A critical step is the creation or selection of an optimal set of code vectors (the 'codebook'). This codebook is likely pre-trained or standardized, containing a diverse set of fundamental HOA patterns. Techniques like vector quantization (VQ), principal component analysis (PCA), or machine learning algorithms could be used to derive these optimal code vectors.\n3.  **Weight Value Determination:** For each input HOA vector, the encoder finds the optimal weight values (`w_i`) that, when combined with the code vectors, best reconstruct the original vector. This often involves an optimization problem, minimizing the error between the original and reconstructed vector.\n4.  **Bitstream Formation:** The determined weight values (and potentially indices to the code vectors, if a dynamic codebook is used) are then quantized and packed into a bitstream for transmission.\n\nOn the receiving end, the processor performs the inverse operation:\n1.  **Weight Value Retrieval:** The processor obtains the quantized weight values from the incoming bitstream.\n2.  **Code Vector Access:** It accesses the corresponding code vectors from its memory (where the codebook is stored).\n3.  **Vector Reconstruction:** It performs the weighted sum `Σ (w_i * C_i)` to reconstruct the original vector. This reconstructed vector then represents the HOA information, ready for rendering into spatial audio.\n\n**Implementation Details and Performance Characteristics:**\nThis approach offers significant advantages in terms of compression efficiency. By transmitting only the weight values (which can be heavily quantized) and referencing a pre-shared codebook, the data rate for HOA signals can be drastically reduced. The computational complexity of the reconstruction process is primarily a series of multiplications and additions, making it suitable for real-time processing on consumer-grade devices (e.g., mobile processors, VR headsets). The memory requirement for storing the codebook would be a fixed, manageable size. The quality of reconstruction depends heavily on the richness and optimality of the codebook and the precision of the weight value quantization.\n\n**Integration Patterns and Code-Level Implications:**\nFrom a development perspective, implementing this technology would involve robust signal processing libraries for HOA manipulation, an efficient codebook management system, and optimized routines for the weighted sum reconstruction. The bitstream format would need to be carefully defined to encapsulate the weight values and any associated metadata. This invention provides a framework that can be integrated into existing audio codecs (e.g., MPEG-H 3D Audio) as a specialized tool for HOA component coding, or it could form the basis of a new, highly efficient spatial audio codec. The use of pre-trained code vectors suggests an offline training phase for optimal performance across a variety of soundscapes.","business_analysis":"The patent \"Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals\" (US-9852737) presents a significant business opportunity by addressing a core technical bottleneck in the rapidly expanding immersive audio market. With the proliferation of virtual reality (VR), augmented reality (AR), and advanced streaming platforms, the demand for high-fidelity spatial audio is skyrocketing. This invention provides a crucial pathway to deliver such experiences efficiently and at scale.\n\n**Market Opportunity Size:**\nThe global immersive audio market is projected to grow substantially, driven by gaming, entertainment, telepresence, and automotive applications. Current estimates place the market value in the billions, with a compound annual growth rate (CAGR) well into double digits. The primary barrier to widespread adoption of truly high-quality spatial audio, particularly Higher-Order Ambisonics (HOA), has been its data intensity. This patent directly mitigates this, unlocking a larger addressable market for immersive content and hardware by making premium audio experiences more accessible and cost-effective to deliver.\n\n**Competitive Advantages:**\nThis technology offers several key competitive advantages:\n1.  **Superior Efficiency:** By drastically reducing the bandwidth required for HOA signals, this innovation allows companies to deliver higher-quality spatial audio than competitors using less sophisticated compression, or deliver the same quality at a lower cost.\n2.  **Enhanced User Experience:** Reduced latency and improved audio fidelity directly translate to more engaging and realistic immersive experiences, a critical differentiator in competitive markets like VR gaming and virtual events.\n3.  **Broader Device Compatibility:** Lower computational demands for reconstruction mean that more devices, including mobile phones and lower-spec VR headsets, can support advanced spatial audio, expanding market reach.\n4.  **Cost Reduction:** For content distributors, lower bandwidth translates to reduced infrastructure costs. For hardware manufacturers, simpler decoding requirements can lead to more cost-effective product designs.\n\n**Revenue Potential and Business Models:**\nThis patent can generate revenue through various business models:\n*   **Licensing:** Audio codec developers, VR/AR platform providers, and streaming services could license the technology for integration into their products and services.\n*   **Proprietary Solutions:** Companies could build proprietary spatial audio engines or streaming platforms leveraging this patent, offering premium services to content creators and consumers.\n*   **Hardware Integration:** Manufacturers of smart devices, VR headsets, and automotive infotainment systems could integrate the decoding capabilities, marketing their products with 'optimized immersive audio.'\n*   **Content Enablement:** By making efficient spatial audio possible, the invention indirectly fuels the creation and consumption of immersive content, allowing companies to monetize content creation tools or distribution platforms.\n\n**Strategic Positioning:**\nCompanies that adopt or license this technology will be strategically positioned at the forefront of immersive media. It allows them to differentiate their offerings in a crowded market, attract top-tier content creators, and cater to a growing consumer demand for high-quality spatial experiences. This patent is not just an incremental improvement; it's an enabler for the next generation of digital interaction, providing a fundamental component for believable virtual worlds and enhanced digital communication.\n\n**ROI Projections:**\nInvestment in this technology, either through licensing or internal R&D, can yield significant ROI. For streaming platforms, reduced bandwidth costs can lead to substantial operational savings. For VR/AR developers, the ability to deliver superior audio without performance compromises can drive higher user engagement, retention, and ultimately, revenue. For hardware companies, offering best-in-class audio can command premium pricing and expand market share. The long-term ROI is tied to establishing a dominant position in the burgeoning immersive audio ecosystem, where efficient spatial audio delivery is a critical success factor.","faqs":[{"answer":"Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals is a groundbreaking patent (US-9852737) that introduces a novel method for efficiently coding and transmitting Higher-order Ambisonics (HOA) audio signals. HOA is a sophisticated technique for representing a full 3D sound field, crucial for creating truly immersive auditory experiences in virtual reality (VR), augmented reality (AR), and advanced entertainment.\n\nTraditionally, HOA signals are incredibly data-intensive, making them challenging to stream or store efficiently without compromising quality. This patent addresses that challenge by proposing an intelligent way to compress these complex signals.\n\nEssentially, it's a system that breaks down complex 3D sound information into smaller, more manageable components (vectors) and then represents these components using a compact 'recipe' of weight values and code vectors. This 'recipe' is then transmitted, allowing a receiving device to reconstruct the high-fidelity 3D sound with significantly less data overhead.","question":"What is Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals?"},{"answer":"The core mechanism of Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals involves a two-step process: decomposition and reconstruction.\n\nFirst, an encoder (on the sending side) takes the original, complex Higher-order Ambisonics (HOA) coefficients and 'decomposes' them into a set of underlying vectors. Instead of transmitting all the raw HOA data, these vectors are then represented by a compact set of 'weight values' and 'code vectors.' The 'code vectors' can be thought of as a pre-defined library of fundamental spatial sound patterns or building blocks, shared between the encoder and decoder. The 'weight values' are specific instructions on how to combine these building blocks to recreate a particular sound vector.\n\nSecond, a device (on the receiving side), equipped with a processor and memory, obtains these 'weight values' from a bitstream. It then uses these weight values in conjunction with its stored or referenced 'code vectors' to accurately reconstruct the original sound vector. This reconstructed vector then represents the high-fidelity spatial audio, ready for playback, delivering the full immersive experience with significantly less transmitted data than traditional methods. This intelligent compression ensures both efficiency and quality.","question":"How does Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals work?"},{"answer":"The Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals patent solves the critical problem of efficiently delivering high-fidelity spatial audio, particularly Higher-order Ambisonics (HOA), in bandwidth-constrained and computationally limited environments.\n\nHOA signals, while offering unparalleled 3D sound realism, are inherently data-intensive. This leads to several challenges: high bandwidth requirements for streaming, increased latency (delays) in real-time applications, and significant processing demands on user devices (like VR headsets or smartphones). These issues often force developers and content creators to compromise on audio quality or spatial resolution, diminishing the immersive experience.\n\nThis patent provides a solution by drastically reducing the data footprint of HOA signals while preserving their spatial integrity. It enables smoother streaming, lower latency, and less demanding processing, making premium immersive audio accessible and scalable for a wider range of applications and devices. Ultimately, it removes a major technical barrier to widespread adoption of truly realistic spatial sound.","question":"What problem does Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals solve?"},{"answer":"The patent document for Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals (US-9852737) lists specific inventors responsible for this innovative technology. However, the provided patent data does not include the names of the inventors or the assignee (the company or entity to which the patent rights are assigned).\n\nTypically, such groundbreaking patents are developed by teams of engineers and researchers within leading technology companies or academic institutions focused on audio processing, virtual reality, or digital media. The collective expertise in areas like signal processing, audio coding, and spatial acoustics is crucial for developing such a sophisticated system.\n\nWhile the specific individuals are not listed in the provided abstract, their work contributes significantly to the advancement of immersive audio technologies, pushing the boundaries of what's possible in digital sound delivery.","question":"Who invented Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals?"},{"answer":"The Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals patent offers several transformative benefits for the immersive audio landscape.\n\nFirstly, it provides **significantly reduced bandwidth requirements** for transmitting high-fidelity spatial audio. This means smoother streaming of immersive content, less buffering, and lower operational costs for content providers. Secondly, it enables **superior immersive experiences** by delivering crystal-clear, multi-directional 3D sound without compromise on quality or spatial accuracy, enhancing realism in VR, AR, and gaming. Thirdly, the technology ensures **lower computational load** on client devices for reconstruction. This makes advanced spatial audio accessible on a wider range of hardware, including mobile phones and less powerful VR headsets, thereby broadening market reach.\n\nLastly, this innovation facilitates **real-time spatial audio delivery** with minimal latency, which is crucial for interactive applications like live virtual events and online multiplayer games. Overall, this patent accelerates the adoption of premium immersive audio by making it more efficient, accessible, and high-performing.","question":"What are the key benefits of Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals?"},{"answer":"Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals differentiates itself from prior art by employing a more sophisticated and efficient method for compressing Higher-order Ambisonics (HOA) signals than traditional techniques.\n\nPrior art often involved simpler forms of HOA compression, such as direct quantization of coefficients or conversion to other domains before basic compression. These methods frequently struggled to maintain the intricate spatial relationships within HOA data, leading to a loss of spatial fidelity or the introduction of audible artifacts at higher compression ratios. Other approaches, like object-based audio, require encoding each sound object separately, which can still be data-heavy for complex soundscapes.\n\nThis patent's innovation lies in its intelligent 'decomposition' of HOA coefficients into underlying vectors, and then representing these vectors as a 'weighted sum of code vectors.' This approach leverages the statistical redundancies and structural properties inherent in spatial audio more effectively. By transmitting only compact 'weight values' that reference a shared 'codebook' of fundamental patterns, the system achieves superior compression ratios while preserving high perceptual and spatial quality, a crucial balance that was difficult to achieve with previous methods.","question":"How is Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals different from prior art?"},{"answer":"The Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals patent is set to profoundly impact several key industries that rely on immersive audio for compelling user experiences.\n\n**Virtual Reality (VR) and Augmented Reality (AR):** This is perhaps the most direct impact. The patent enables more realistic and lag-free spatial audio for VR games, AR applications, virtual training simulations, and metaverse platforms, enhancing presence and interaction. **Gaming:** Gamers will experience heightened immersion and competitive advantages through precise 3D audio cues, making virtual environments feel more alive and responsive. **Media and Entertainment:** Streaming services, film production, and music industries can deliver premium immersive audio for movies, concerts, and interactive content with unprecedented efficiency. **Telecommunications and Telepresence:** Virtual meetings and remote collaboration tools can integrate realistic spatialized voices, making long-distance interactions feel more natural and engaging. **Automotive:** In-car infotainment systems can leverage this technology to create personalized, immersive audio zones within vehicle cabins. The core benefit of efficient, high-quality spatial audio makes this patent a foundational technology for any sector building the next generation of digital experiences.","question":"What industries will Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals impact?"},{"answer":"The patent for Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals (US-9852737) was filed on **2015-05-14** (May 14, 2015).\n\nIt was subsequently published and granted on **2017-12-26** (December 26, 2017).\n\nThis timeline indicates a development period and examination process typical for complex technical innovations. The granting of this patent in late 2017 positioned it as a key intellectual property in the rapidly evolving field of immersive audio, predating much of the mainstream buzz around the metaverse and advanced VR/AR applications. Its early filing date demonstrates foresight in anticipating the technical challenges of delivering high-fidelity spatial audio at scale.","question":"When was Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals filed/granted?"},{"answer":"The commercial applications of the Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals patent are extensive and span various sectors driving the immersive economy.\n\nOne primary application is in **VR/AR content delivery platforms**, where it enables streaming providers to offer high-quality immersive audio experiences with reduced bandwidth, thus lowering operational costs and improving user satisfaction. **Gaming studios** can integrate this technology into their engines to create more realistic and engaging soundscapes for their titles, providing a competitive edge. **Automotive manufacturers** can use it to develop advanced in-car audio systems that offer personalized and adaptive spatial sound experiences for passengers. In **telepresence and virtual collaboration tools**, the patent can facilitate more natural communication by spatializing voices, making remote meetings feel more 'present.' Additionally, **professional audio production and post-production houses** can benefit from more efficient storage and transfer of Higher-order Ambisonics (HOA) master files, streamlining their workflows. Overall, any company seeking to deliver premium, scalable, and efficient 3D audio will find significant commercial value in this innovation.","question":"What are the commercial applications of Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals?"},{"answer":"The Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals patent lays a robust foundation for numerous future developments in immersive audio technology.\n\nOne expected area of development is its **integration into industry standards** for audio coding, such as MPEG-H 3D Audio, to become a widely adopted method for efficient Higher-order Ambisonics (HOA) transmission. We can also anticipate advancements in **adaptive streaming protocols** that leverage this technology, allowing spatial audio quality to dynamically adjust based on network conditions, similar to video streaming. Further research will likely focus on **optimizing codebook generation** using advanced machine learning techniques, potentially leading to even greater compression ratios and perceptual quality. Additionally, the principles of this patent could be extended to **real-time spatial audio capture and encoding**, enabling live immersive broadcasts with unprecedented fidelity and efficiency. Lastly, as VR/AR hardware evolves, the technology could be refined to support **even higher orders of ambisonics** or integrate with novel spatial audio rendering techniques, pushing the boundaries of realism in future digital environments. This patent is a springboard for the next generation of auditory immersion.","question":"What are the future developments expected for Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals?"}],"topics":["Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals","Higher-order Ambisonics","spatial audio compression","HOA coding","immersive audio","realm","immersive","audio"],"tech_cluster":null},"seo":{"title":"Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals - Patent US-9852737","description":"Discover US-9852737: Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals. This patent revolutionizes spatial audio compression for VR/AR, enabling efficient 3D sound. Full analysis.","keywords":["Coding Vectors Decomposed from Higher-order Ambisonics Audio Signals","Higher-order Ambisonics","spatial audio compression","HOA coding","immersive audio","3D audio","VR audio","AR audio","audio signal processing","patent US-9852737","audio decomposition","code vectors","weight values","bitstream optimization"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9852737","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-9852737","citation_suggestion":"Patentable. \"Coding vectors decomposed from higher-order ambisonics audio signals\" (US-9852737). https://patentable.app/patents/US-9852737","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9852737","json":"https://patentable.app/api/llm-context/US-9852737","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T10:55:45.281Z"}