Sampling methods for data streams
Cascadable Low Pass Filter
CSC401: Applied Mathematics IV [AM-IV] | SE Semester IV | Computer Engineering
Pyoneer is a Python 3 package for the continuous recovery of non-bandlimited periodic signals with finite rates of innovation (e.g. Dirac streams) from generalised measurements.
Rhombic grids for coherent plane-wave compounding (CPWC) in ultrasound imaging
A collection of DSP Projects written in MATLAB
Data Science Statistics Interview Questions
Projetos realizados durante o bacharelado em Estatística na Universidade Federal do Ceará
MATLAB-based Digital Signal Processing Laboratory with examples of convolution, DFT, FIR filtering, and more. Each folder includes code and individual README files for theoretical explanations.
This is an illustrator for signal recovery that shows the importance of and validates the Nyquist rate.
Synthetic benchmark for frame-rate-invariant validation of tiny fast-object chains
WWDC 2023 Submission
Python code for exploring the effects of sampling continuous-time signals
Signals reconstruction and sampling theory illustrator.
An R implementation of systematic sampling methods for finite populations. This repository includes functions for generating systematic samples, enumerating all possible systematic samples, and computing systematic correlation coefficients used in sampling theory and survey statistics. Designed primarily for educational purposes, statistical demons
Sampling and reconstruction studio with composer
Learned Nyquist: fundamental aliasing limits of implicit neural representations (IEEE ICASSP SPTM). Achievability + converse, Monte-Carlo-validated, real data both sides.
My work on a generalized Shannon sampling (and filtering) algorithm, while I was a research student in the summer of 2016.
Elements of Survey Sampling
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