burger

calculating signal to noise ratio

该程序主要是比较对信号分别进行希尔伯特变换HT和广义希尔伯特变换GHT所得到瞬时相位的比较，结果证明GHT较HT对信号有较好抗噪特性，同时瞬时相位也可以用来重构信号，但主要起了指示的作用。(We can get instantaneous phase of the signal by HT or GHT，and the results prove that GHT has better noiseproof feature,namely robustness than HT.In the meantime,we could restruct signal using the information of instantaneous phase,but it mainly has good directives roles.)

best squre approach of function(best approach of function squre)

对MIMO-OFDM系统通过不同的算法进行仿真得到结果图(Simulation results of mimo-ofdm system are obtained through different algorithms)

说明：  图4.7给出了V=4，相位集合的相位数分别为P=1、2、4、8时的随机分割的PTS-OFDM系统的CCDF的性能图。仿真参数：分割方法为随机分割，子载波数N=128，子载波数据采用QPSK调制，仿真的OFDM符号数为1000个。(Figure 4.7 shows the V = 4, the phase of the collection phase, respectively P = 1,2,4,8 were separated when the PTS-OFDM system performance CCDF graph. Simulation parameters: Segmentation of random division, the number of subcarriers N = 128, sub-carrier data using QPSK modulation, simulation of the OFDM symbol number 1000.)

关于共振峰提取的程序，已调试过，可以使用，欢迎交流借鉴。(Formant extraction procedures, debugging, you can use, welcomed the exchange learn.)

Texture Segmentation Using Texture Filters such as : entropyfilt, rangefilt and stdfilt.

BP（Back Propagation）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)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

此文件包含了zoom-fft算法语言，结果与FFT对比图片输出(This file contains ZOOM-FFT algorithm language, the results are compared with FFT image output.)

本文件为用matlab编写的遗传算法程序，内容较为全面，好不易得才找到的。(This document is prepared for the use of genetic algorithm matlab procedures, content more comprehensive, so it was difficult to find.)