Algorithm Development
Multiple algorithm models built for implementation and verification — from floating-point exploration through to bit-exact models that run on embedded hardware.
Floating pointBit-exactTrade studies
Capability · India
Signal Processing & DSP
Analog and digital signal processing across the complete signal chain, from sensor front-ends to embedded and bit-exact algorithm implementations. Our Vadodara team takes signal problems from a blank page through to something that runs, at rate, on the hardware you intend to ship — not just in a notebook on a workstation.
Algorithm developmentBit-exact modelsDopplerFilteringEstimationEmbedded DSP
What we do
Algorithms that survive contact with real hardware
Front-End to Embedded
Processing designed with the whole chain in view: what the sensor and analog front end deliver, what the digital stage can recover, and what the processor can afford.
Sensor dataConditioningEmbedded
Imaging & Doppler Pipelines
The DSP behind real imaging modes — B-mode and M-mode, and colour, power and spectral (PW/CW) Doppler, with the estimation and filtering each depends on.
B / M-modeColour DopplerSpectral
Filtering, Detection & Estimation
The classical core done properly: filter design, decimation and resampling, envelope and phase estimation, detection thresholds, and how each behaves in fixed point.
Filter designEstimationFixed point
Test Data & Visualization
Sample-data generators and visualization tools packaged with the algorithms, so behaviour can be inspected and regressions caught rather than argued about.
GeneratorsVisualizationRegression
Optimization for the Target
Restructuring for the platform that will run it — embedded processor, FPGA fabric or GPU — including quantisation and the accuracy trade-offs it brings.
QuantizationProfilingAcceleration
How we work
An algorithm is not finished until it runs at rate
A result that only holds in double precision on a workstation is a hypothesis, not a deliverable. Our process closes the gap deliberately, at a point where changing course is still cheap.
- Agree what success means numerically before writing any processing.
- Prototype in floating point to establish the approach works at all.
- Fix word lengths, produce a bit-exact model, and quantify the accuracy cost.
- Generate test data, including awkward cases, and build the visualisation to judge it.
- Implement on the target platform and verify against the bit-exact reference.
- Profile and optimise until it meets rate with margin, not just on a good run.
What you get
Deliverables from a DSP engagement
Algorithms handed over as something your team can verify, modify and defend — not a black box.
- Floating-point reference implementation
- Bit-exact model with fixed word lengths
- Accuracy analysis against the reference
- Sample-data generators for test
- Visualization tooling for inspection
- Target implementation (embedded, FPGA or GPU)
- Performance and profiling results
- Algorithm documentation and derivations
Where our engineers are
Signal processing services across India, from our Vadodara engineering team
Our engineering team works from two hubs: an engineering office in Vadodara, Gujarat and headquarters in Silicon Valley. Most day-to-day design and verification work is carried out by the Vadodara team, which means clients across India — in Bangalore, Hyderabad, Pune, Delhi NCR, Ahmedabad and beyond — get direct access to the engineers doing the work, in the same time zone, at competitive rates — while the US office keeps the programme close to customers in North America.
India — Engineering Office: 301-306 (3rd Floor), Ozone, Sarabhai Road, Vadodara, Gujarat 390023 ·
+91 265 3100926 ·
contact@awengworks.in
USA — Headquarters: 1307 S. Mary Ave., Suite 260, Sunnyvale, CA 94087
Common questions
Signal processing questions we are asked most
Can you implement an algorithm we already have?
Yes. A common engagement is taking a customer's floating-point algorithm and producing a bit-exact model plus a target implementation, with an accuracy analysis showing exactly what the conversion cost.
Do you work on ultrasound signal processing specifically?
Yes — diagnostic ultrasound is where A&W spends most of its time. That includes B-mode and M-mode, colour, power and spectral Doppler, speckle reduction and harmonic imaging.
Which platforms do you target?
Embedded processors, FPGA fabric and GPU. Choosing between them is usually part of the work, decided on latency, power and data rate rather than preference.
Where is your DSP team based?
In our Vadodara engineering office at Ozone, Sarabhai Road, Gujarat 390023, with headquarters in Sunnyvale, California.
Have a signal problem?
Bring us the sensor, the constraint and the deadline. We will tell you what is achievable and what it will take.