Digital Signal Processing: Modeling with Julia (David Hossack)

Digital signal processing (DSP) paths are usually simulated at a high level using C or MATLAB/Simulink models to confirm basic functionality and to assess whether signal processing requirements such as frequency response and signal-to-noise ratio are being met. Complex signal processing paths consist of cascades of sigma-delta modulators, filter stages, mixers, modulators, demodulators etc each of which have a corresponding high level model. A very simple framework has been developed in Julia to enable combinations of DSP stages to be evaluated. This talk will discuss the experience of using Julia to combine models written in Julia and C, and designs written in Verilog (using Verilator) in industrial settings over many years. The principles should also be applicable to C++ or Python evaluation environments.