Application-Architecture-Guide-v2

MATLAB实现对录音信号的滤波，包括低通，高通和带通，以及时域和频域分析(MATLAB realize filtering of audio signals, including low-pass, high pass and band-pass, as well as the time domain and frequency domain analysis)

matlab中数字图像处理程序，包含滤波，卷积，膨胀闭合等操作。(digital image process procedure in matlab, including filtering , convolution, swelling and closing.)

自适应滤波算法的MATLAB代码:run_lms_mvdr(Adaptive filtering algorithm MATLAB code: run_lms_mvdr)

本程序用于对加工夹具进行受力分析 预测被动力(The procedure for processing fixture for prediction by dynamic mechanical analysis)

一种基于弹性网络的混合预测的视频压缩感知方法。(A hybrid prediction based video compression elastic network sensing methods.)

Kirsch filter for image processing

MATLAB矩阵及其运算，包括变量和数据操作、结构数据和单元数据等(MATLAB matrix and its operation, including the variables and data manipulation, data, structure data and cell)

matlab的一些经典书籍。基础与应用，综合辅导，小波分析(matlab some classic books. Basic and applied, integrated counseling, wavelet analysis)

matlab 拉 普 拉 斯 算 子 代 码(matlab laplacian detector)

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.