Cirrus Logic, Inc.

Methods and circuits to detect and compensate for various imperfections in amplifier operation, such as DC offset, gain errors, phase errors, duty-cycle errors, or input error components, to improve accuracy and signal integrity.

Circuit designs and control techniques focused on maximizing the power conversion efficiency of amplifiers, especially for radio frequency (RF) or audio applications, often involving load modulation, envelope tracking, or specific amplifier classes (e.g., Class-D, Doherty).

Integration of advanced functionalities into headphones, earphones, or hearing aids, such as multi-device connectivity, health monitoring sensors, custom fitting mechanisms, and intelligent audio switching or control.

Techniques for enhancing, encoding, decoding, or separating speech and audio signals, often involving multi-microphone arrays, acoustic echo cancellation, beamforming, or advanced audio compression for improved clarity and quality.

Focuses on novel circuit configurations for DC-DC, DC-AC, or AC-DC conversion, often involving resonant operation, multi-level structures, or switched capacitors to improve efficiency, power density, or voltage conversion ratios.

Amplifier designs that allow for dynamic adjustment of their operating characteristics, such as gain, impedance, or amplification path, based on control signals, input conditions, or desired performance modes.

Digital logic and control circuits for managing power delivery, driving various loads (e.g., inductive, display elements), converting power, and protecting against over-voltage or electrostatic discharge. Includes gate drivers for power FETs and voltage level shifters.

Techniques and circuits designed to regulate output, manage input variations, mitigate resonance, or ensure stable operation of power converters under diverse load and source conditions. This includes adaptive, predictive, or fault-tolerant control schemes.

Devices and methods for accurately measuring or monitoring electrical current draw and power usage in various systems, often for control, optimization, or safety purposes.

Designing user interfaces and interaction methods specifically for mobile or wearable devices, enabling control of external systems, monitoring user states, or facilitating real-world transactions.

Application of neural networks and AI/ML models within hearing devices or audio systems to enhance, filter, or process audio signals for improved user experience, such as speech understanding or noise reduction.

Methods and systems for identifying synthetic or manipulated speech (deepfake audio) using forensic analysis of audio features, such as breath patterns, vocoder signatures, or machine learning models to determine authenticity.

Specialized amplifier types designed for converting current to voltage (transimpedance) or voltage to current (transconductance), often featuring virtual ground configurations, precise gain setting, and compensation for input/output characteristics.

Focuses on the architectural and circuit-level innovations for Analog-to-Digital Converters (ADCs) and Digital-to-Analog Converters (DACs) to improve speed, accuracy, linearity, and power efficiency. Includes specific types like SAR and Delta-Sigma, and their constituent components.

Techniques and circuits designed to identify, compensate for, or correct non-linearities, offsets, and other imperfections in signal processing paths, particularly within analog-to-digital, digital-to-analog, or digital-to-time converters.

Methods and architectures for processing digital signals to enhance quality, remove noise, manage group delay, and facilitate symbol decision, often involving digital filters and equalization techniques.

Engineering solutions for optimizing the acoustic performance and mechanical stability of loudspeakers, including diaphragm materials, spider geometries, vibration suppression, and integration into other devices.

Software, algorithms, and associated hardware for monitoring, controlling, and optimizing battery performance, safety, and lifespan, including charge/discharge cycles, thermal regulation, and system integration.

Digital logic circuits designed to interface with analog sensors or signals, including comparators, input buffers, differential input stages, and logic for processing sensor outputs (e.g., capacitance, optical, touch) for detection or measurement.

Applications of speech processing and artificial intelligence for medical diagnosis, therapeutic interventions, or accessibility solutions, particularly for conditions affecting speech production or hearing.

Novel hardware designs and processing pipelines tailored for specific computational tasks, such as graphics rendering, neural network operations, or matrix transformations, often involving custom circuits, memory arrays, or data flow mechanisms.

Design and manufacturing techniques for microelectromechanical systems (MEMS) microphones, focusing on physical components like diaphragms, movable masses, and housing for improved performance, heat management, or fluid interaction.

Technologies for establishing and managing high-bandwidth, low-latency communication pathways between computing components, peripherals, or systems, focusing on signal integrity, synchronization, and interface standards.

Techniques and apparatus for electrically testing semiconductor devices, integrated circuits, or wafers during manufacturing or post-assembly, including built-in self-test (BIST) and contact reliability assessment.

Specialized digital and mixed-signal circuits for controlling and reading out quantum bits (qubits), including generating precise modulated RF signals and integrating with photonic components for quantum operations.

Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.

Methods and systems for identifying anomalies, failures, or impending issues within electric motors or their associated drive and power management circuits, often by monitoring electrical or operational parameters.

Circuitry and techniques specifically designed to amplify weak signals while minimizing the introduction of additional noise and maintaining high linearity, often incorporating impedance matching, parasitic neutralization, or protection circuits.

Signal processing techniques for multi-microphone systems to enhance desired audio signals and suppress noise or interference by spatially filtering sound sources, improving signal-to-noise ratio and channel separation.

Technologies for generating artificial speech that is personalized, context-aware, or adaptable to specific virtual agents or messaging campaigns, often utilizing text-to-speech (TTS) and audio caching for efficient delivery.

Integration of power converters with energy storage devices (batteries, supercapacitors) or grid interfaces, often involving AC/DC conversion, power flow management, and fault handling for hybrid power systems or specific applications like EVs or PV.

Methods and compositions for identifying, quantifying, or characterizing specific biological molecules (e.g., nucleic acids, proteins, metabolites, antibodies) or microbial species, often for diagnostic, prognostic, or quality control applications.

Methods and systems for efficiently reducing the size of digital data, often employing adaptive techniques, neural networks, or temporal modeling, to achieve high compression ratios while preserving data quality. Includes entropy coding.

Medical devices and methods for treating hearing loss or tinnitus, primarily through electrical stimulation via implanted electrodes in the cochlear region, including fitting and neural response modeling.

Systems that utilize light, displays, or augmented reality to provide warnings, guidance, or to deter unwanted actions, often involving adjustable light patterns or directional indicators for enhanced effectiveness.