Hallen

Texture detection using GLCM. GLCM describes four properties known as contrast, correlation, energy and homogeneity.

Peter Kovesi 编制的Matlab指纹图像图像处理源代码(Peter Kovesi fingerprint image produced by image processing Matlab source code)

机器学习算法adaboost的一个新版本，相比以前的0.3版，修正了几个BUG。(A new version of adaboost in machine learning algorithms.Compared of the previous version, some bugs are modified.)

contourlet toolbox component

matlab实现二维数组的fft变化，得到时域图、幅频域图。(fft change implementation, time domain, frequency domain amplitude, is a two-dimensional array of the FFT changes)

说明：  单片机模糊控制pid源码，有需要的可以下载看看，可以用于大家参考学习，一起进步(SCM fuzzy control pid source code, there is a need to download can see, can be used for everyone to learn reference, progress together)

比较了几种经典的LMS自适应滤波算法，很清楚地看出在低信噪比下各算法的性能( It compared several classical LMS adaptive filtering algorithm,)

This function calculates the ergodic and outage capacity of a MIMO Rayleigh channel considering no CSIT (equal power allocation) and perfect CSIT (waterfilling power allocation). In both cases perfect CSIR is assumed. The channel is assumed to be spatially correlated according to a Kronecker model but temporally uncorrelated.

BP神经网络：是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)

HEED protocol code developed using Matlab