QPSK Bit Error Rate Calculation in AWGN and Rayleigh Channels
Calculation of QPSK bit error rates under AWGN and Rayleigh channel conditions with MATLAB implementation approaches
Explore MATLAB source code curated for "计算" with clean implementations, documentation, and examples.
Calculation of QPSK bit error rates under AWGN and Rayleigh channel conditions with MATLAB implementation approaches
Iterative Closest Point Algorithm: Computing Optimal Alignment Between Two Point Clouds with Code Implementation Insights
This article provides a comprehensive guide to MATLAB simulation of LTE systems, detailing the implementation workflow, parameter configuration methods, and key computational approaches with code-level explanations.
Implementation source code for computing fractal box dimension using block-partitioned grayscale image processing technique
Signal Processing Wavelet Analysis: 1) Calculate wavelet transform of signals with implementation using Python's PyWavelets or MATLAB's wavelet toolbox. 2) Extract modulus maxima curves through multi-scale wavelet coefficient analysis. 3) Compute Lipschitz exponents for two singular points using wavelet transform modulus maxima (WTMM) method to characterize local signal regularity.
Computation and simulation of bit error rates for baseband signals transmitted through Gaussian and Rayleigh channels, with comparative analysis against their respective theoretical BER curves using MATLAB-based implementations
Comprehensive exploration of fractional Fourier transform computation techniques with detailed program listings and MATLAB/Python implementation examples, covering signal processing applications and practical use cases.
Image template matching calculation involves pixel-by-pixel movement to compute current template data and extract image feature points using correlation-based algorithms
Simulation and Calculation of Receiver Bit Error Rate in Direct Sequence Spread Spectrum Systems with Additive White Gaussian Noise Channel
This code repository implements genetic algorithm optimization examples from Chapter 4, Example 4-5 of "Mastering MATLAB Intelligent Algorithms" - Each function accepts vector inputs for computational efficiency and can be adapted for various optimization scenarios.