Simulation Algorithm for Compressed Sensing
Simulation algorithm for compressed sensing utilizing the SOMP (Simultaneous Orthogonal Matching Pursuit) recovery algorithm.
Explore MATLAB source code curated for "仿真算法" with clean implementations, documentation, and examples.
Simulation algorithm for compressed sensing utilizing the SOMP (Simultaneous Orthogonal Matching Pursuit) recovery algorithm.
Simulation algorithm for the Duffing oscillator. By modifying program parameters, different state diagrams can be generated for studying nonlinear system behaviors.
Simulation of single-station passive positioning algorithms for targets moving in two-dimensional linear trajectories, including code implementation details for motion modeling and signal processing.
Simulation algorithm for pulse radar ranging, including echo generation based on target information, noise injection, signal reception, and signal processing for result calculation
This simulation algorithm implements image denoising based on the paper "Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain", featuring wavelet domain processing with Gaussian scale mixtures and optimized implementation for enhanced image quality.
Simulation of compressive sensing algorithms using wavelet basis with orthogonal matching pursuit as the reconstruction method, demonstrating sparse signal recovery through limited measurements
This work presents a relatively uncommon 16PSK simulation algorithm, including implementations for Gaussian channels, Rayleigh channels, and Linear Time-Invariant (LTI) channels. For the Rayleigh channel scenario, the algorithm provides comparative results before and after equalization, demonstrating the effectiveness of equalization techniques through performance metrics and visualizations.