Explore MATLAB source code curated for "数据处理" with clean implementations, documentation, and examples.
Self-organizing neural network-based data and image processing demonstrates exceptional performance in image segmentation applications. This well-structured source code provides an excellent foundation for development.
Selection of Persistent Scatterer (PS) Points in PS-InSAR Data Processing with Algorithm Implementation Considerations
Implementation of reading hundreds of *.txt files into a program, performing data processing through Fast Fourier Transform (FFT), and visualizing the results as images with code-level explanations.
Application Background: Advancements in Wireless Sensor Network (WSN) technology have enabled the availability of miniaturized, low-cost sensor nodes capable of sensing various physical and environmental conditions, data processing, and wireless communication. This capability has resulted in diverse applications across numerous domains. However, WSN characteristics demand more efficient methods for data forwarding and processing. Sensor nodes in WSNs have limited transmission range, processing/storage capabilities, and energy resources. WSN routing protocols are responsible for maintaining network routes and must ensure reliable multi-hop communication under these constraints. This paper investigates WSN routing protocols and compares their advantages and limitations. Key Technologies: Genetic algorithms can optimize routing path selection through chromosome encoding of node paths, fitness functions evaluating energy consumption and transmission delay, and genetic operations like crossover and mutation to evolve optimal routes.
Fractional Fourier Transform (FRFT) Implementation for Rectangular Signals with Code Modules: wigner_ville_1.m (Single-component signal denoising), wigner_ville_2.m (Dual-component parallel signal denoising), wigner_ville_3.m (Three-component signal frequency detection). The FRFT provides a comprehensive time-frequency representation as the order parameter continuously varies from 0 to 1, transitioning signals from pure time domain to pure frequency domain characteristics.
Data Processing, Polynomial Interpolation, and Curve Fitting Techniques in MATLAB with Code Implementation
Calculating ship seakeeping characteristics through strip theory method with MATLAB programming for data processing and result analysis
Reading Orbit Data Provided with Doris - Implementation and Processing Workflow
Explicit 3D seismic data and MATLAB-based processing workflows for seismic exploration analysis, including data loading, preprocessing, imaging algorithms, and 3D visualization techniques.
Techniques and Algorithms for Feature Wavelength Selection in NIR Spectroscopy Data Analysis