Regression Prediction Analysis Using SVM Neural Networks
Regression Prediction Analysis with SVM Neural Networks - Shanghai Stock Exchange Opening Index Forecasting
Generation and Transmission Characteristics of Supercontinuum in Photonic Crystal Fibers
Calculation and analysis of supercontinuum generation and transmission characteristics in photonic crystal fibers using the Split-Step Fourier Method, with implementation details of numerical modeling and spectral evolution algorithms.
Analysis and Simulation of Indoor Wireless Channel Models for Wireless Local Area Networks
Implementation and analysis of indoor wireless channel modeling for WLAN using MATLAB with comprehensive simulation studies
Calculating Mutual Information for Time Series
A program for computing mutual information between time series, specifically average mutual information, applicable to chaotic time series analysis with implementation details for entropy-based correlation measurement.
Neural Network Prediction Program
Application Context: Suitable for scenarios with large existing datasets requiring comprehensive fitting and prediction analysis. Key Technology: Utilizes intelligent neural network control methods to perform data analysis and training on existing datasets, generating a composite error function. The trained model is then tested with validation data, producing comparative visualizations between predicted and actual results through appropriate plotting functions.
Processing and Analysis of a Granular Structure Image
This project involves processing and analyzing an image containing granular structures. It enables accurate calculation of particle count and characteristic features, employing efficient algorithms for rapid feature extraction. Includes detailed algorithm documentation and technical report.
Pulse Doppler Radar Received Signal Processing with FFT Analysis
Pulse Doppler radar received signal processing involves Fast Fourier Transform implementation, comprehensive spectral analysis, and graphical output visualization - a fundamental implementation example with MATLAB/Python code-ready approach
Temperature Analysis Using EEMD Method with Implementation Code
Complete implementation of temperature analysis using Ensemble Empirical Mode Decomposition (EEMD) method, ready for immediate execution. Includes detailed program calling procedures, algorithmic explanations, and analytical workflows with code-specific enhancements.
Analyzing Frequency Domain Characteristics of 2D Signals with MATLAB
Using MATLAB to analyze frequency domain characteristics of 2D signals and investigating phase and amplitude distortion through practical code implementations
EEG Signal Processing Using FFT (Part 3)
EEG signal extraction can be performed using FFT spectrum analysis. The extracted EEG signals from different frequency bands enable diagnosis of neurological disorders and analysis of brain electrical activity and functional states. Key implementation steps include: 1. Converting experimental EEG data (pre-filtered with 50Hz notch) to text format for Matlab compatibility (0661.txt). 2. Importing data into Matlab, extracting Fp1 channel signals, applying FFT to isolate α, β, θ, and δ bands, and performing inverse FFT for time-domain reconstruction. 3. Computing power spectral density for each frequency band.