This project demonstrates discrete-time convolution using several approaches implemented in MATLAB. The goal of the project is to build an intuitive understanding of convolution in the time domain and ...

Abstract: Neural network-based decoding methods show promise in enhancing error correction performance but face challenges with punctured codes. In particular ...

Abstract: A novel scheme exploiting rate-compatible punctured convolutional (RCPC) codes is proposed for distributed and adaptive source coding. The proposed scheme is based on the SF-ISF approach in ...

3 Things You Need to Know About Convolutional Neural Networks (CNNs) ⤵️ What is a CNN 👉 A CNN is a deep learning architecture that learns directly from data, making it particularly useful for image ...

This repository contains MATLAB implementations of core concepts from signals and systems. Each practical explores fundamental topics in signal generation, manipulation, transformation, and digital ...