Configures the FMCW waveform based on the system requirements. Then defines the range and velocity of a target and simulates its displacement. For the same simulation loop process, the transmit and receive signals are computed to determine the *beat* signal. Then it performs a Range FFT on the received signal to determine the Range Towards the e…

2D FFT, Doppler effect and CFAR implementation with matlab

📞 Using Matlab to simulate Dual-Tone Multi-Frequency (DTMF) of telephone

Trajectory Optimized Nufft

This repository will contain necessary signal processing codes in Matlab or Python of my course " Digital Signal Processing (CSE3132) ".

Useful m-scripts for DSP (CIC, FIR, FFT, Fast convolution, Partial Filters etc.)

Generating targets and detecting range and velocity from simulated FMCW waveform radar signals using the Range/Doppler FFT method and displaying targets using the 2D CFAR visualization.

Introductory class on Digital Signal Processing.

Fast Vector Spherical Harmonic Transforms

Digital Image Processing

A Matlab project uses Signal Processing Technique — Digital Watermark to hide data in an audio track

This is a repository where I added my DSP codes that have written in Matlab (without built-in function). I have also commented inside every code so that it will become helpful for newbies. Also added cross-check using Library Function.

Configuring the radar FMCW waveform based on the system requirements and simulating the radar signal propagation and moving target scenario. Finally, post processing the radar signal using 1st FFT, 2nd FFT, and CA-CFAR to estimate the target's range and velocity.

fft/ifft transformations, DCT encoding/decoding using various techniques (zig-zag scanning, quantization), SNR calculations, filters (Gaussian, median, bilateral), edge detection, motion assessment, moving objects detection, JPEG model study

An automatic speaker recognition system built from digital signal processing tools, Vector Quantization and LBG algorithm

A three-variate turbulent wind field (u,v and w components) is simulated in three-dimensions.

EEGLAB scripts for FFT analysis of multiple EEG datasets + data visualization.

Fast convolution and deconvolution functions using Fast Fourier Transform (FFT)

The goal of this project is to use MATLAB to implement a Radar target generation and detection system.

Matlab application that finds main frecuency from seismic timeseries acceleration data using SH/SV Stockwell Transform/Nakamura method