dtcwt_denoise_bi

矩阵相乘，基于CUDA用并行算法实现矩阵的乘法(matrix muliplication with parallel algorithm implication matrix muliplication base on CUDA )

PMSM的向量控制系统，仿真环境matlab7.55/simulink ，经测试可直接使用。 (PMSM vector control system, simulation environment matlab7.55/simulink, has been tested and can be used directly.)

复杂网络的matlab实现，得到不同规模的BA无标度网络、WS小世界网络、随机网络、规则网络的拓扑图。还有各类型的拓扑度分布、聚集系数、平均最短路径等静态特性的实现。(Matlab implementation of complex networks, BA scale networks of different sizes, WS small world networks, random networks and regular networks are obtained. There are various types of topological degree distribution, aggregation coefficient, average shortest path and other static characteristics.)

本代码是波束空间MUSIC算法的源程序。采用波束空间MUSIC算法进行DOA估计(This code is the source beam space MUSIC algorithm. MUSIC algorithm using beam-space DOA estimation)

CDMA程序，包括DS扩频等，个人觉得还不错。(CDMA procedures, including the DS spread spectrum, etc., individuals feel good.)

码率为1/3的卷积码的性能曲线仿真，调试可用，MATLAB语言(rate 1/3 Convolutional code ，based on MATLAB )

MCP参数提取程序，用最小二乘提出电容电感值，用matlab实现(MCP parameter extraction procedure using the least-squares made inductance capacitor value, and achieve Matlab)

matlab程序语言学习，可以有效掌握matlab 编程的技巧。(Matlab language learning, can master the matlab effectively Programming skills. )

MATLAB模拟的电磁学时域有限差分法（FDTD），其中包括大量源代码。(MTALAB FDTD)

Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutually related elements. The main focus in this study is to do texture segmentation and classification for texture digital images. Grey level co-occurrence probabilities (GLCP) method is being used to extract features from texture image. Gaussian support vector machines (GSVM) have been proposed to do classification on the extracted features. A popular Brodatz texture album had been chosen to test out the result. In this study, a combined GLCP-GSVM shows an improvement over GLCP in terms of classification accuracy.