Harmonic Wavelet Extraction of Specific Frequency Signals
Designed for extracting specific frequency signals using harmonic wavelets, with additional applications in filtering, noise reduction, and spectral analysis.
FFT Analysis of Signal Spectrum
Given a signal x(t), sampling it to obtain x(n), will spectral aliasing occur? This project uses FFT to analyze its spectrum. The implementation involves: 1. Programming to plot the signal waveform; 2. Performing FFT on x(n) with N=16 and plotting the magnitude-frequency characteristic curve; 3. Performing FFT on x(n) with N=1024 and plotting the magnitude-frequency characteristic curve; 4. Analyzing the results from steps 2 and 3. The design debug report requires: working principle summary, design approach, challenges and solutions, results analysis, and program code with operational steps.
Computing Signal Correlation Dimension
Algorithm Implementation for Signal Correlation Dimension Calculation
Fundamentals of Signal and System Analysis
This comprehensive guide covers fundamental concepts of continuous and discrete signals and models. It explores essential signal transformations including Z-transform, Chirp Z-transform, FFT, DCT, and Hilbert transform with code implementation insights. The content details discrete system structures (IIR, FIR, Lattice) and provides practical approaches for IIR filter design covering analog/digital low-pass and high-pass implementations.
Implementation for Calculating SNR of MRI Signal with Algorithm Details
Implementation methodology to compute Signal-to-Noise Ratio (SNR) for MRI signals using advanced signal processing algorithms and noise analysis techniques
Matching Pursuit Algorithm with MATLAB Implementation
MATLAB implementation of matching pursuit algorithm - a signal sparse decomposition method using overcomplete dictionaries, featuring matchingpursuit.m function with iterative approximation approach for signal compression and denoising applications.
Time-Frequency Domain Feature Extraction Algorithm
This algorithm performs time-frequency domain feature extraction for signals, implementing signal analysis across both time and frequency dimensions
Median Denoising Filter Source Code for 1D, 2D, and 3D Signals
MATLAB Source Code Implementation for Median Denoising Filtering of 1D, 2D, and 3D Signals
Power Spectrum Estimation of Signals Using Fourier Transform
Various methods for power spectrum estimation via Fourier Transform: Periodogram method, Modified Periodogram with segmentation, Welch's method for reduced variance, Multitaper Method (MTM) using multiple orthogonal windows, Maximum Entropy Method (MEM) for high-resolution estimation, and Multiple Signal Classification (MUSIC) for frequency detection. Implementation approaches include FFT computation, windowing functions, and spectrum averaging techniques.
Clipping and Filtering Techniques for PAPR Reduction in OFDM Systems
This MATLAB code simulates the effects of clipping and filtering on Peak-to-Average Power Ratio (PAPR) reduction in OFDM-based wireless standards. The implementation includes performance evaluation of Bit Error Rate (BER) versus Signal-to-Noise Ratio (SNR) for original OFDM signals with PAPR reduction using clipping and filtering schemes over Additive White Gaussian Noise (AWGN) channel. The code demonstrates key signal processing operations including signal clipping threshold implementation, frequency-domain filtering techniques, and iterative PAPR reduction algorithms.