Calculating Harmonic Amplitude and Phase Angle of Signals Using FFT
Using FFT (Fast Fourier Transform) to compute amplitude and phase angles of harmonic components in signals, with code implementation details.
Compressed Sensing MATLAB Implementation with FFT and OMP Algorithms
MATLAB code for compressed sensing featuring FFT-based sparse decomposition and Orthogonal Matching Pursuit (OMP) algorithm for signal reconstruction, including implementation details for sparse signal processing
Simulation of BOC Signals
Generate simulated BOC signals using MATLAB, perform signal sampling, and conduct spectral analysis using FFT with implementation guidelines.
Interpolated FFT Algorithm Using Hanning Window
An interpolated FFT algorithm employing Hanning window function, specifically designed for harmonic analysis of power system signals with enhanced frequency resolution and spectral leakage reduction.
Implementation of Fast Fourier Transform with MATLAB Code Examples
Complete MATLAB implementation guide for Fast Fourier Transform (FFT) and Inverse FFT (IFFT), featuring practical applications including linear convolution computation, IIR digital filter design, and FIR digital filter experiments with full source code and simulation results
SAR Signal Processing with MATLAB Code Implementation
This resource contains fundamental SAR radar signal processing algorithms implemented in MATLAB, featuring 16 key files including FFT transformations and range compression (crange) modules. These materials provide practical code examples and algorithm explanations particularly beneficial for beginners understanding SAR radar principles.
Generating VHDL Source Code and Testbench for FFT using DSP Builder with Implementation Details
MATLAB model for generating FFT VHDL source code and corresponding testbench files using DSP Builder, successfully verified through ModelSim simulation with comprehensive algorithm implementation coverage
GPS Parallel Code Acquisition Algorithm Implementation
Implementation of GPS parallel code acquisition algorithm utilizing 1024-point FFT processing, designed to handle input data with various noise power levels.
ADC Dynamic Performance Testing Using FFT Analysis
FFT-based ADC dynamic performance testing methodology including SNR, ENOB, and other key parameters, implemented according to IEEE standard testing procedures. Supports data loading from files for comprehensive analysis with code implementation details.
MATLAB Code Implementation of Fast Fourier Transform (FFT) Algorithm
Implementing FFT in MATLAB using custom programming instead of MATLAB's built-in fft function, with enhanced algorithm explanations and code implementation details.