sarstripmap1

说明：  使用Matlab编写的逆谐波程序。该程序对于不同的参数进行了实验。当图像噪声不同时，选用不同的参数。参数的正确选择很重要。本程序给出了不同噪声比较适合的参数选择(The use of Matlab procedures for the preparation of the inverse harmonic. The program parameters for different experiments. When the image noise is not at the same time, choosing different parameters. Correct choice of parameters is very important. This procedure gives more suitable for different noise parameters)

说明：  利用平稳随机信号各态历经性，用周期图法对随机信号进行功率谱估计(The use of smooth ergodic random signal, and use periodogram of random signals, power spectrum estimation)

科学计算与MATLAB语言recommended，高阶matlab使用方法(Scientific Computing with MATLAB language recommended, high-end matlab use)

16 qam modulation that apply on sequential with viterbi uncoded

this m.file produces channel coefficient with some error, in which the estimation error follows a random variable with zero mean and variance of MSE. lat is the latitude of BS places at different cells which is used to determine the number of BSs in the networks

这个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单。(This program is the most basic particle swarm optimization procedures, using Matlab to achieve, is very simple.)

Matlab导出模拟波形用于CCS仿真，以.dat音频文件格式输出(Export Matlab simulation of analog waveform for the CCS to. dat audio file formats)

efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found to be a powerful feature for texture classification it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some dataset

说明：  互相关法的实现。一般多用于图像配准之中，能够求两幅具有角度偏移图像的互相关值大小。互相关值能够应用于众多方面。(Implementation of Cross Correlation Method. Generally used for image registration, can be obtained with two angle offset image cross-correlation value size. The cross-correlation value can be applied to a number of aspects.)

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