Colormap for visualizing amplitude and phase of complex functions (e.g. filter design) using hue and lightness in a perceptually-uniform colorspace

An implementation of the FDLS filter design algorithm using numpy

DSP code in Python

Toolbox for signal processing and analysis; the (static and variable) design of classes of bandpass filters based on desired characteristics such as peak frequency, quality factor, and group delay; and the scientific study of cochlear models and auditory perception.

Demonstration of the mini-lab component activities conducted for the course of Signal Processing Lab (19CCE281).

A PyQt-based desktop application designed for intuitive and interactive filter design. With FilterMaster, you can easily manipulate zeros and poles on the unit circle, allowing for precise filter customization. The application offers real-time signal testing, phase correction, signal generation by recording mouse movement, and more.

Demonstration of the mini-lab component activities conducted for the course Software Define Radio Lab (19CCE284).

Digital Filter Designer is a powerful application built using PyQt5 and Matplotlib. It allows users to design and visualize digital filters, including standard filters and all-pass filters, and generate corresponding C code. Ideal for students, researchers, and engineers in digital signal processing.

A desktop application that helps users to design a custom digital filter via zeros-poles placement on the zplane.

Signal Processor in Python - https://doi.org/10.5281/zenodo.13286179

SciPy compatible design tools around Elliptic Filters with minimal Q-factors (EMQF)