GPS Signal Acquisition Simulation
MATLAB simulation of GPS signal acquisition with coherent and non-coherent integration algorithms, providing accurate signal detection and processing results
Estimating Signal Time-Frequency Distribution Spectrogram Using Hilbert Transform
Decomposes input signals into multiple IMF components through empirical mode decomposition, applies Hilbert transform to each component, and computes time-frequency distribution spectrograms to analyze signal characteristics with enhanced frequency-temporal resolution.
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.
Generation of Received Signal through Convolution of Signal S with Channel H
In MATLAB, signal S convolved with channel H produces received signal V using V = conv(S,H), followed by deconvolution from V and H to recover original parameters.
Five-Point Cubic Smoothing Method for Time-Domain and Frequency-Domain Signal Processing
The five-point cubic smoothing method serves as an effective technique for smoothing signals in both time and frequency domains. In the time domain, it reduces high-frequency random noise mixed into vibration signals. For frequency-domain applications, it enables smoother spectral curves by applying a cubic polynomial fit over five consecutive data points.
Maximum Likelihood Alternating Projection Iterative Method for Signal DoA Estimation
Implementation of Direction-of-Arrival (DoA) estimation using Maximum Likelihood Alternating Projection iterative method - a highly practical approach with MATLAB/Python implementation considerations
Feature Extraction for Signals and Images
Nonnegative Matrix Factorization (NMF) – A Technique for Feature Extraction in Signals and Images, Also Applicable for Image Compression
Signal Analysis with Hilbert-Huang Transform (HHT)
Implements Hilbert-Huang Transform for signal processing, displaying multi-level IMF components and visualizing the Empirical Mode Decomposition (EMD) workflow with algorithm demonstrations
High-Quality MATLAB Function Implementation for Cyclostationary Signal Analysis
This excellent function generates three-dimensional cyclic spectral correlation density plots for cyclostationary signals through programmatic calls, featuring robust spectral estimation algorithms and comprehensive visualization capabilities.
Digital Signal Processing Simulation System
Implementation of a comprehensive digital signal processing simulation system featuring: a GUI for generating and selecting various digital signals (sine, square, triangular waves, speech, noise, and their combinations); DFT and DCT transformation capabilities; customizable filter designs for low-pass, high-pass, and band-pass filtering with output signal analysis in both frequency domain and time series