Design of Bandpass Filter and Filtering Example
Design and implementation example of a bandpass filter with detailed demonstration for 30-50MHz frequency range, including MATLAB code implementation approach and parameter selection methodology
Wavelet Transform Example: Analyzing f(t) = sin(2π×500t) + sin(2π×1000t) + 1.5δ(t-165) + 1.5δ(t-207)
Wavelet Transform Implementation Example - Analyzing Signal Components and Time-Frequency Localization of f(t)=sin(2π×500t)+sin(2π×1000t)+1.5δ(t-165)+1.5δ(t-207) with Code Approach
RBF Neural Network Implementation for IRIS Dataset Classification Example
A practical demonstration of RBF neural network implementation using the IRIS dataset for multi-class classification
BP Neural Network Implementation Code Example
A practical example demonstrating backpropagation neural network implementation using basic gradient descent algorithm for weight optimization
Fractional Fourier Transform Implementation Examples
Practical code examples demonstrating fractional Fourier transform applications in signal processing, image analysis, and communication systems with algorithm explanations
DWT-Based Audio Watermarking Example with Implementation Details
A complete audio watermarking example based on Discrete Wavelet Transform (DWT) that demonstrates watermark embedding and extraction algorithms, including frequency sub-band decomposition and coefficient manipulation techniques.
R-wave Detection in ECG Signals Using Wavelet Singular Point Monitoring Method
An example of detecting R-waves in ECG signals using wavelet singularity detection, which can also be applied to singularity monitoring in other signals. The implementation involves wavelet transform decomposition and modulus maximum analysis for precise feature extraction.
Example of Solving Nonlinear Programming Using Genetic Algorithm
This example demonstrates a genetic algorithm implementation for solving nonlinear programming problems, incorporating penalty functions to define feasible regions. The code is highly practical and can be easily adapted for other optimization routines with minor modifications. Key features include chromosome encoding for decision variables, fitness evaluation with penalty constraints, and customizable genetic operators for crossover and mutation.
Kruskal's Algorithm for Minimum Spanning Tree with Implementation Insights
Detailed explanation of Kruskal's algorithm for minimum spanning trees, including practical examples and code implementation considerations
Examples and Summary of Multi-Objective Optimization with MATLAB Implementation
A comprehensive example and summary of multi-objective optimization with detailed code implementation guidance, providing practical assistance for beginners learning MATLAB programming.