Implementation of Rational Sampling Rate Conversion
This software performs rational sampling rate conversion with input/output analysis and comparison capabilities, featuring interpolation and decimation algorithms with built-in filtering.
MATLAB Implementation of Multiple Linear Regression with Coefficient Testing
Multiple linear regression implementation including specific coefficient testing procedures and input/output handling, providing a practical tool for statistical analysis
Calculation of Input-Output Signal-to-Noise Ratio Gain for Bistable Stochastic Resonance Systems
gongzhenQ.m: Computes the input-output SNR (Signal-to-Noise Ratio) gain for bistable stochastic resonance systems, demonstrating pronounced stochastic resonance phenomena through quantitative analysis and parameter modulation.
Image Matching of Two Images Using MATLAB
Implementing image matching of two images in MATLAB using two distinct algorithms: 1. Grayscale-based template matching 2. Improved template matching algorithm with GUI-based input/output interface.
ALamouti Scheme Performance Simulation with Code Implementation
This study simulates the bit error rate (BER) performance of the ALamouti scheme under (2,1) input-output configuration with increasing signal-to-noise ratio (SNR), comparing it against a single-input single-output (SISO) system without diversity. The implementation includes MATLAB-based channel modeling and maximum likelihood detection algorithms.
MATLAB Implementation of Kalman Filter Algorithm
Implementation of Kalman filtering algorithm supporting multi-dimensional data input/output with comprehensive code annotations.
Three-Layer BP Neural Network with MATLAB Implementation
MATLAB implementation of a three-layer backpropagation neural network featuring configurable input/output parameters, training algorithms, and activation functions for flexible neural network design.
MATLAB Implementation of LMS Algorithm with Complete Code Structure
A comprehensive LMS algorithm implementation featuring input/output processing, error rate calculation, and adaptive filtering capabilities. Freely downloadable code includes MATLAB functions for coefficient adaptation and performance monitoring.
Model Identification: Fuzzy Neural Networks with T-S Model and Input-Output Membership Functions
Model identification using Fuzzy Neural Networks with T-S model implementation, including input-output membership function design and parameter optimization techniques