Mathematical Simulation
Fixed-Point Quantization
Cycle-Accurate Profiling
Laboratory Bench Validation
Algorithmic synthesis and polyphase filter modeling in double-precision MATLAB and Python to define theoretical stopband rejection boundaries.
Translation into Q15 and Q31 arithmetic schemes, isolating truncation noise and verifying limit cycles through rigorous numerical error analysis.
Bare-metal implementation in C++ and hand-tuned SIMD assembly, mapping inner loops directly to hardware registers to eliminate pipeline stalls.
Direct empirical measurement in anechoic test chambers and automated bench fixtures using high-resolution audio analyzers and RF scopes.
Real-time audio pipelines fail at memory bandwidth and non-deterministic cache misses, never at theoretical mathematical complexity.
Julian Vance, Senior DSP Systems Engineer
Primary technical competencies
Embedded C++ Firmware
SIMD Vectorization
Transducer Acoustic Tuning
Zero-allocation runtime architectures targeted to ARM Cortex-M, Cadence Tensilica, and SHARC processors with deterministic execution deadlines.
Vector optimization utilizing ARM NEON and x86 AVX instruction sets for high-throughput multi-channel spatial audio and real-time beamforming.
System identification, loudspeaker non-linear compensation, and adaptive feedback cancellation calibrated against physical hardware limits.
Inquire about confidential architectural audits, contract DSP consulting, or principal engineering engagements.