DSP Systems Engineering

Deterministic audio pipelines on silicon

Twelve years engineering hard real-time signal pipelines, fixed-point filters, and acoustic algorithms across ARM Cortex, SHARC, and custom ASIC platforms.

Core Specializations

Algorithmic domains

Bridging pure mathematical modeling with hardware constraints to guarantee deterministic latency and cycle-accurate execution across production audio systems.

Codec architecture

Adaptive spatial filtering

Fixed-point translation

Developing low-bitrate psychoacoustic speech and audio codecs optimized for tight direct memory access transfers and battery-constrained embedded DSP targets.

Multi-microphone beamforming arrays, sub-band acoustic echo cancellation, and real-time noise suppression with guaranteed linear phase alignment under tight cycle budgets.

Porting float32 algorithmic prototypes into cycle-accurate Q31 and Q15 fixed-point architectures without dynamic range clipping or tap count expansion.

Production Metrics

Measured hardware outcomes

< 1.8 ms

End-to-end buffer latency

-18 dB

Harmonic distortion reduction

42%

SRAM footprint reduction

14

Tape-outs and silicon runs

Architectural Stance

Bandwidth dictates deterministic latency

Real-time audio processing leaves zero margin for non-deterministic cache misses. Theoretical math must align with physical bus topology and cycle-accurate memory access.

Engineering inquiry

Available for principal-level signal architecture, firmware optimization, and technical consulting on mission-critical audio and embedded sensing hardware.