Minimum-Cost-Flow

移动通信中的MIMO信道模型，请大家一起多多交流(Mobile communication MIMO channel model, please more exchanges with U.S.)

A PIV Post-processing and data analysis toolbox(The PIVMat Toolbox for Matlab contains a set of command-line functions to import, post-process and analyse 2- and 3-components vector fields from PIV (particle image velocimetry), stereo-PIV, DIC (digital image correlation) SS (synthetic schlieren) or BOS (background-oriented schlieren) applications. Main Features: - Import vector fields from PIV (Particle Image Velocimetry) or other related technics, such as DIC (Digital Image Correlation), SS and BOS (Synthetic Schlieren and Background-oriented Schlieren). - Compatibale with files from DaVis (LaVision), DPIVSoft (Meunier & Leweke), VidPIV (Oxford Laser), MatPIV and Optical Flow. - Standard vector field operations: interpolation, filtering (median, Butterworth...), averaging (temporal, spatial, azimuthal...), derivatives computation (vorticity, divergence, strain, Q-factor...) - Fully vectorized: all operations directly apply on arrays of fields (no for loops) - More than 60 functions with full on-line documentation sampl)

teager能量算子MATLAB代码，应用于信号分析(Teager Energy Operator MATLAB Code)

Modulate&Demodulate 16-QAM

说明：   采用模糊C均值聚类方法，能够对样本进行很好的分类，很好用(Fuzzy C means clustering method, the sample can be well classified, very good use)

BPSK signal generation

Abstract—Numerous methods have been developed for holistic face recognition with impressive performance. However, few studies have tackled how to recognize an arbitrary patch of a face image. Partial faces frequently appear in unconstrained scenarios, with images captured by surveillance cameras or handheld devices (e.g., mobile phones) in particular.

说明：  本程序实现角点检测的功能，有实例可供大家参考。(This program functions for angle detection, there are examples for your reference.)

说明：  利用共軛梯度法求解線性聯立方程組 從整體來搜索最佳方向(Using conjugate gradient method for solving linear simultaneous equations to search for the best direction for the overall)

本工具箱描述了非线性盲源分离的原理及算法(This toolkit described the principle and algorithm of nonlinear blind source separation)