Wavelet Neural Network Implementation in MATLAB 6.5
This MATLAB 6.5 implementation of wavelet neural networks contains several areas for improvement. We welcome collaborative research and development to enhance its functionality and performance.
LDPC Codes
This coding scheme has been adopted in the DVB-S2 standard. The MATLAB program is designed to investigate the performance of LDPC codes through simulation and analysis of key parameters like bit error rate and signal-to-noise ratio.
Research on Parameter Identification Using Least Squares Method
Study of parameter identification through least Squares method. This research implements the least squares algorithm step-by-step with practical programming examples and detailed implementation analysis.
L1 Norm Least Squares Algorithm
MATLAB implementation of L1 Norm Least Squares algorithm for image reconstruction research, featuring high customizability and modifiable code structure.
Spectrum Analysis Techniques: Essential Statistical Methods for Studying Periodic Phenomena
Spectrum analysis techniques serve as the most commonly employed statistical method for investigating periodic phenomena. This approach primarily involves performing data transformations on complex wave systems to decompose them into simple harmonic waves with varying amplitudes and phases, thereby identifying the wave with the maximum amplitude—the dominant frequency of the composite wave. Among various spectrum analysis methods, the Fast Fourier Transform (FFT) algorithm stands out as the most widely used computational technique due to its efficiency in frequency domain conversion.
Simulation and Research on Adaptive Beamforming Algorithms
Code simulation and research on adaptive beamforming algorithms for graduation project implementation
Research on Image Compression Coding Based on Wavelet Transform
MATLAB implementation of EZW algorithm for image compression using wavelet transform analysis
Research and Simulation of BCH Code Encoding and Decoding Methods
Investigation and MATLAB simulation of BCH code encoding and decoding techniques, including n-k encoding, algebraic encoding, Peterson decoding, Berlekamp-Massey (BM) decoding, and group transform decoding methods with implementation details and performance analysis.
MATLAB Image Fusion: Algorithms and Implementation Techniques
While image fusion applications continue to expand across various fields, current research remains insufficiently systematic, lacking a complete theoretical framework. This repository provides comprehensive MATLAB implementations of multiple image fusion algorithms, offering practical reference solutions including wavelet transform-based fusion, pyramid decomposition methods, and principal component analysis techniques. The code demonstrates key functions for image registration, feature extraction, and fusion rule optimization.
Cooperative Diversity Research for Relay Nodes in Wireless Networks with Source Code Implementation
Source code for research on cooperative diversity of relay nodes in wireless networks, including multiple receiver-side techniques with algorithm implementations and MATLAB/Python code examples