Neural Network Implementation Support Materials for MATLAB 7
Downloadable implementation support materials in .m file format for neural networks with MATLAB 7
Explore MATLAB source code curated for "matlab7" with clean implementations, documentation, and examples.
Downloadable implementation support materials in .m file format for neural networks with MATLAB 7
Download supporting resources for neural network implementation with MATLAB 7 in .m file format
A self-developed signal generation and processing software built on MATLAB 7 platform. It implements deterministic and stochastic signal generation algorithms, various digital filter design methods (FIR/IIR), spectral analysis using FFT algorithms, and post-filtering frequency domain analysis. This tool provides practical implementation examples for Signals and Systems and Digital Signal Processing courses, featuring GUI-based parameter configuration and real-time visualization of signal waveforms and spectra.
Supplemental materials for neural network implementation with MATLAB 7 in .m format, including core algorithms and practical examples
Image denoising program based on wavelet-PDE (Partial Differential Equation) methodology, implemented using MATLAB 7 programming environment with wavelet decomposition and PDE-based diffusion algorithms
This repository provides the MATLAB source code for the Low Energy Adaptive Clustering Hierarchy (LEACH) routing protocol, designed specifically for wireless sensor networks (WSNs). The implementation is developed using MATLAB 7 and includes key algorithmic components for cluster formation, head election, and energy-efficient data transmission.