MATLAB Implementation of Superpixel Algorithm with Code Description
Superpixel algorithm implementation proven to be highly effective - sp_demo.m serves as the main program requiring C++/MATLAB integration setup prior to usage
Explore MATLAB source code curated for "主程序" with clean implementations, documentation, and examples.
Superpixel algorithm implementation proven to be highly effective - sp_demo.m serves as the main program requiring C++/MATLAB integration setup prior to usage
Detection of weak signals utilizing stochastic resonance principle with a_b_f.m as the main program file implementing the core algorithm and signal processing workflow.
Power load forecasting implementation using wavelet neural networks, featuring wnne as the main program with supporting functions for comprehensive prediction analysis
The primary implementation for LMS multi-microphone speech denoising is contained in lmsspdn.m, which utilizes the Least Mean Squares algorithm for adaptive noise reduction across multiple microphone inputs.
A Word document analyzes the theoretical principles and simulation results of sphere decoding. The document presents two main implementations: 1) sphereandML as the main program, which achieves performance close to Maximum Likelihood (ML) detection by calling spheredecode and spheredecodeinf subroutines; 2) main_spheretoML as the main program, which achieves full Maximum Likelihood (NL) detection performance by calling spheredecodetoML and spheredecodeinftoML subroutines.
Main program implementation of Least Squares Support Vector Machines (LSSVM) featuring fundamental classification and regression capabilities with configurable kernel functions and optimization parameters
Time series prediction algorithm program based on mean generating function featuring: 1. predict_fun.m as the main program implementing core prediction logic 2. timeseries.m and seriesexpan.m as utility subroutines for data processing and series expansion operations
This repository contains the main MATLAB program and partial subroutines for implementing Support Vector Clustering, a machine learning algorithm for data grouping
Implementation of Linear Predictive Coding for speech signals, featuring a main program that orchestrates four subprograms handling prediction analysis, quantization, encoding, and decoding functionalities.
Implementation of semi-blind channel estimation for 2-transmit 2-receive MIMO systems, featuring a main driver program (main) coordinating multiple specialized subroutines for efficient system operation