Professional MATLAB source code with comprehensive documentation and examples
This project demonstrates electrical signal processing using MATLAB, featuring: 1) Adding 0.5Hz baseline wander and filtering with 0.5Hz high-pass filter (comparison plots and frequency response analysis) 2) Injecting 50Hz power line interference and
EMD Algorithm Implementation - Currently the Most Effective EMD Program for HHT (Hilbert-Huang Transform) Applications
This technique enables rapid hologram reconstruction through a single Fast Fourier Transform (FFT) operation, suitable for both standard hologram reproduction and holographic interferogram reconstruction with optimized computational efficiency.
This textbook serves as an advanced course material for graduate-level digital signal processing. Organized into 13 chapters, it systematically covers three core knowledge systems in modern signal processing: time-frequency analysis, filter banks, an
Methods for spectral analysis of continuous and discrete time-domain signals using FFT, including analysis of potential errors and their root causes through implementation examples and algorithm considerations
RSSI-based positioning utilizes known transmission signal strength from transmitting nodes, where receiving nodes calculate propagation loss based on received signal strength. This loss is converted to distance using theoretical or empirical signal p
Application Background: Empirical Mode Decomposition (EMD) decomposes signals into monocomponent signals called Intrinsic Mode Functions (IMFs), enabling instantaneous frequency calculation through Hilbert transform. The primary challenge in practica
Performing spectral analysis for radar speed measurement primarily involves analyzing real-world signals to extract Doppler frequency, which enables calculation of vehicle velocity through signal processing algorithms.
A comprehensive MATLAB program for high-frequency ground wave radar simulation, featuring six modules including ground wave propagation modeling and target echo power calculation with algorithm implementations.
Several widely-used methods for power spectrum estimation including Periodogram method, Welch's method, and AR model approach, with code implementation insights.
Sample Entropy combined with Harmonic Wavelet Decomposition, complete MATLAB source code implementation
AR model-based parameter estimation in modern power spectrum analysis provides superior resolution compared to classical spectral estimation methods, offering enhanced frequency component detection through autoregressive coefficient optimization.
Radix-2 FFT: A Fast Algorithm for Discrete Fourier Transform (DFT)
MATLAB-based analysis and simulation of coherent integration process for target echo signals, including comprehensive implementation of target signal accumulation with code examples and algorithm explanations.
Source code for adaptive noise cancellation system featuring LMS algorithm-based adaptive filter simulation and performance analysis
A MATLAB-based program implementation for cyclostationary analysis and processing of diverse signals, featuring algorithm demonstrations and key function descriptions.
MATLAB Code for Root Raised Cosine Filter Implementation with Algorithm Explanation
This project provides MATLAB-based adaptive filter implementation featuring hardware-ready model files for XILINX FPGA deployment, complete with algorithm explanations and code optimization techniques
Implementation of homomorphic filtering algorithm in MATLAB with experimental image demonstrations and technical analysis
Elliptic filters offer excellent narrowband filtering performance and possess simpler structural implementation compared to conventional FIR and IIR filters, with direct design methods available through functions like ellipord() and ellip() in signal