An LTspice project which contains third-order Butterworth filters built both using an inductor and a current conveyor.

The "AR_Tag-VR_Projection" project is designed to process AR tags within video streams to perform advanced visual augmentations. Using Python and OpenCV, this system processes video inputs to isolate dynamic features via FFT, overlays 2D images, and then projects 3D graphics onto detected AR tags.

Extracts low speed segments from spatiotemporal trajectories using moving median of speed. Fast and robust. Adaptively determines the parameters from the data, instead of setting objective, arbitrary parameters. Each trajectory in a set of trajectories will have unique subjective parameters.

Time-domain EMA smoothing algorithm with TCP-inspired adaptive thresholding and sign-flip noise discrimination. Built for embedded platforms: QMK keyboards, Arduino, any-resolution ADC applications.

prof. Tushar sandhan gave a course project on frequency mixing and de-mixing in which we create a hybrid image containing both high and low frequency images, and remove unwanted noise from a given music audio.

A classical digital signal processing (DSP) library in Python for generating realistic synthetic physiological signals (ECG, EEG, EMG, PPG, EDA, respiration) with parameterized physical noise models.

Coursework and final project for Digital Signal and Image Processing (DSIP) at the University of Genova, featuring Fourier analysis, digital filtering, and Kalman Filters using Python.