Boeing 727 Data and ISAR Imaging Technology
Comprehensive analysis of Boeing 727 aircraft data and ISAR imaging techniques with practical implementation insights
MATLAB Support Vector Machine Prediction with Implementation Guide
MATLAB Support Vector Machine prediction with complete dataset, case analysis, and thoroughly debugged source code (original author's program personally verified). Requires libsvm toolbox installation prior to execution. Case study focuses on short-term electric power forecasting, demonstrating practical SVM implementation with parameter optimization techniques.
MATLAB Implementation of Backpropagation Neural Network Algorithm with Code Examples
Complete Backpropagation Neural Network implementation featuring provided dataset and results, including detailed code structure and algorithmic explanations for practical application
ECG Signal Dataset for Fetal ECG Separation
This dataset provides maternal ECG signals collected via electrodes placed on the chest and abdomen, specifically designed for fetal ECG separation research where high-quality data is often scarce.
Real-time ECG Display Upper Computer GUI with Serial Communication
A real-time ECG display upper computer GUI that reads data from serial port with signal processing capabilities.
ECG Signal Feature Extraction and Data Processing
ECG signal eigenvalue analysis, power spectrum computation, filtering techniques, and related data processing methods for cardiac health assessment
Gaussian Mixture Models for Given Data Sets
Gaussian Mixture Models automatically determine optimal cluster numbers and centers for input data, converge based on decision rules with fast computational performance, offering significant convenience for clustering implementations
Filtering ECG Signals with Two Filter Groups Using Different Design Approaches
This experiment designs two sets of filters through different methodologies to filter ECG signals from data, eliminating power frequency interference, muscle tremor noise, and respiratory baseline drift. The study analyzes which filter group better meets practical application requirements, with enhanced descriptions of filter implementation strategies and algorithm selection.
Two-Dimensional Fractional Fourier Transform: Algorithm and Applications
The Two-Dimensional Fractional Fourier Transform converts data into the 2D fractional Fourier domain, with implementation typically involving separable operations along each axis using eigenvalue decomposition or discrete approximation methods.
Backpropagation Neural Network Implementation
This MATLAB code implements a Backpropagation Neural Network algorithm that provides high accuracy for large-scale numerical datasets but may exhibit significant errors when processing small-scale data with low numerical values.