Explore MATLAB source code curated for "方法" with clean implementations, documentation, and examples.
Utilizing blind deconvolution image restoration techniques can achieve superior results when restoring blurred images, with implementations typically involving blur kernel estimation and iterative restoration algorithms.
Iterative methods represent another class of techniques for solving linear algebraic equation systems, particularly effective for large sparse linear systems. These methods operate by designing specific iterative schemes that generate sequences of approximate solutions, which converge toward the exact solution when properly formulated. The implementation typically involves matrix-vector multiplications and residual calculations, requiring only O(n) storage for sparse systems. Key advantages include constant coefficient matrices throughout iterations, algorithmic simplicity, straightforward programming implementation, and reduced memory requirements compared to direct methods.
Implementation programs for carrier phase recovery in communication systems using multiple methodologies, including phase-locked loops and adaptive filtering algorithms for robust signal synchronization.
Research on methods for extracting single-frequency signals from broadband signals using adaptive filtering techniques, with implementation insights on algorithm selection and parameter tuning
Wavelet Neural Networks combine wavelet analysis with neural networks by replacing traditional activation functions with wavelet basis functions, creating hybrid models for improved signal processing capabilities.
This paper presents a method for measuring image similarity using color histograms, implemented in MATLAB with provided source code demonstrating histogram comparison algorithms.
Methods for boundary tracking in grayscale images, where gradient maps are first computed using differential operators, followed by algorithm application for boundary detection. Implementation typically involves edge detection operators like Sobel or Canny for gradient calculation and contour tracing algorithms.
Face detection using ICA (Independent Component Analysis) transformation represents a novel approach in facial recognition technology, featuring statistical signal processing and component separation capabilities.
Synchronization techniques and methods for PSK signals, used for signal demodulation with implementation approaches and key algorithms
Implementation of Gaussian blur image restoration based on BP neural network, leveraging its excellent nonlinear approximation capabilities to achieve superior performance compared to traditional algorithms. Code implementation typically involves network architecture design, training data preparation, and optimization techniques.