Explore MATLAB source code curated for "仿真比较" with clean implementations, documentation, and examples.
This project presents a comparative simulation study between Backpropagation (BP) and Radial Basis Function (RBF) neural networks. The package contains four MATLAB scripts that demonstrate different aspects of both network architectures, including training algorithms, performance evaluation, and practical applications.
This code implements a comparative simulation of bit error rates across various communication schemes such as On-Off Keying (OOK), featuring modular implementation of modulation techniques, noise modeling, and BER calculation algorithms.
MATLAB simulation code for AF (Amplify-and-Forward) and DF (Decode-and-Forward) protocols in cooperative communications, featuring complete simulation capabilities and comparative performance analysis between both protocols with detailed algorithm implementation
Comparative simulation analysis of LDPC LLR BP decoding algorithm in AWGN channels with MATLAB implementation insights
MATLAB simulation code for power spectrum estimation using wavelet transform, featuring fundamental wavelet transform implementation, Mallat algorithm realization, and comparative simulations between classical and modern power spectrum estimation methods.
This program performs power spectral density simulation comparisons using three signal sources described in "Introduction to Modern Digital Signal Processing" Volume 1, Page 202, Exercise 5. The implementation employs three spectral estimation methods: Periodogram method, Autocorrelation method, and Covariance method, with MATLAB code demonstrating different algorithmic approaches for spectrum analysis.
Simulation results for 6-bit transmission performance comparison among SM, V-BLAST, and MRC communication systems
HARQ Scheme with Constellation Rearrangement Strategy