PyDSM is a Python Delta Sigma Modulator toolbox. It contains tools for experimenting with ?? modulators. It focuses mostly on experimentation with different techniques for the design of the modulator Noise Transfer Function (NTF) and simulation of a generic digital modulator.
Release Notes: This version fixes a regression introduced in 0.7.3; upgrading is recommended. It includes the following changes: a new NTF design method based on a noise weighting function; standard audio weighting functions and ISO 226 equal loudness contours; new NTF design methods for psychoacoustically optimal modulators for audio signals; a regression fix in ds_optzeros (the regression was preventing some example code from running); new examples from a recently published TCAS-II paper; and a 'ba' specifier for filters in numerator/denominator form. The evalTF function is more robust against complex overflow, and there are some bugfixes.
Image may be NSFW.
Clik here to view.
Tags: Delta Sigma Modulation, Optimization
Licenses: New BSD License
Image may be NSFW.
Clik here to view.
Software page:
PyDSM 0.8.0
