Digital Signal Processing (DSP)

Turn raw sensor data into decisions.

Bison develops and accelerates signal-processing chains for real-time sensing systems, balancing algorithm performance with compute limits, latency, data movement, and fielded-system constraints.

Functions: Detect · estimate · classify
Targets: CPU · GPU · FPGA · heterogeneous
Measure: Accuracy · latency · throughput

Automotive radar sensor with A-scope and target-tracking displays

01 · Where we help

Algorithms that must survive real hardware

We bridge the gap between analytical performance and deployable implementation across radar, EW, communications, SIGINT, and other sensor systems.

Filtering, detection, estimation, and tracking
Spectral, time-domain, and array processing
Algorithm-to-platform performance trades

02 · How we work

Reference first. Accelerate with evidence.

Bison establishes a trusted reference implementation, profiles the workload, partitions processing, and verifies the accelerated result against known data.

Algorithm prototyping and test vectors
Fixed-point and numerical analysis
Optimization, acceleration, and tuning

03 · Program value

Performance that is measurable and maintainable

Programs receive an implementation that meets real-time needs without losing traceability to the algorithm’s intent.

Verified processing gain and accuracy
Controlled latency and resource use
Clear path to integration and upgrades

Put the algorithm on the right architecture.

We can start with the math, the code, or the struggling fielded implementation.

Engage the team →