Forward Thinking

DSP Solutions

With over 25 years of experience in DSP design for small and large organizations, let us help you find the right solutions to your challenging signal and information processing problems.

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For every stage of development, from proof-of-concept to volume production, we offer our expertise to optimize your ROI:

  • Feasibility analysis & recommendations
  • System/hardware modelling (Python, C++, Matlab/Simulink)
  • Software for Hardware-in-Loop/FPGA prototyping
  • Big Data analysis & visualization for design/process improvement
  • Hardware-focused Machine Learning/AI

EXPERIENCE

DSP algorithms (fixed-point)

Numerical analysis & algorithms (quantization, stability)

Equalization (linear, non-linear)

Adaptation/optimization (filtering, estimation)

Non-linear systems (predistortion, I/Q imbalance)

Probabilistic/statistical modeling (BER estimation/analysis)

Machine learning/AI (classical, deep/LLMs)

Cryptography (asymmetric, hashing/signing)

Blocks

Application Domains

Data Communications and Signal Processing
Wireless/wireline systems
(PHY transceivers)
RF, Optical, & Audio systems            

NEWS

RSS DSP Related Blogs
RSS Numeris Blog
RSS IEEE AI
RSS MIT ML News
RSS MIT Cryptography News
RSS IEEE Signal Processing

Contact us to discuss how we can help take your ideas from concept to reality.

Paul Yee, Ph.D.

An experienced engineer specializing in DSP design techniques from theory to implementation spanning Linear and Nonlinear Adaptive Systems, Equalization/Estimation, and Statistical Modeling.


Published author of Regularized Radial-Basis Function Networks: Theory and Applications.


Stimulated by the challenge of difficult problems demanding creative solutions.

Get in Touch