fuzzypid

这主要是一些课程文档是关于MATLAB神经网络应用设计的，有图像处理相关的，还有编程指导(the book of MATlab which is related with image recognition and MATLAB programing)

经典的行人检测算法，利用HOG和SVM实现此算法。已调试可以正常运行。(Classic pedestrian detection algorithm, HOG and SVM to implement this algorithm. Has debugging normal operation.)

it for antenna code with matlab that is good for all person

现代信号处理中的功率谱估计的协方差算法。程序直观明了。(the algorithm in modern signal processing.)

SVM_GUI_3.1[mcode][by_faruto]1 此SVM_GUI是基于libsvm-FarutoUltimate，所以你需要实现安装该工具箱。会用libsvm- FarutoUltimate的朋友，这个GUI一看就会用，里面的参数的输入就是原来libsvm- FarutoUltimate里面的输入要求(SVM_GUI_3.1 [mcode] [by_faruto] 1 is based on this SVM_GUI libsvm-FarutoUltimate, so you need to implement to install the toolkit. Will use libsvm- FarutoUltimate friend, a look will use this GUI, enter inside the parameters of which is the original input requirements libsvm- FarutoUltimate)

这是一个用于计算材料二阶色散的软件，基于Matlab编写，只要输入适当参数即可运行(This is a document on MATLAB for calculating the group disprision of materials.It can be uesd just by input some premeters.)

用于观察脑电信号全通道数据和多个单通道数据，并且输出相对颅内压参数。函数通过读取nt后缀脑电图文件，并生成GUI界面，可选择全通道观察所选文件脑电信号，也可以选择包含原始EEG脑电信号，40hzEEG，80hz肌电干扰和提取出的40hzEEG信号的多个单通道观察，并且生成颅内压参数。(Used to observe all channels of EEG data and multiple-channel data, and output parameters relative intracranial pressure. 40hzEEG signal function by reading nt suffix EEG file and generates a GUI interface, you can all channels of EEG observe the selected file, or you can choose to include original EEG EEG, 40hzEEG, 80hz EMG interference and extracted a plurality of single-channel observation, and generates an intracranial pressure parameters.)

说明：  】利用混沌动力学系统中logistic 映射先对水印图像进行置乱预处理以增强其鲁棒性, 在小波域中将原始音频信号按比例分段, 此比例为原始音频信号低频部分与水印信号个数之比, 然后将水印信号加入到音频信号的 低频部分。用StirMark 攻击后的实验结果表明, 该算法对StirMark 的部分攻击具有一定的鲁棒性。(The logistic- map sequences to encrypt the watermark are used. The original audio signal in DWT (Discrete Wavelet Transform) domain is seperated into some pieces determined by the ratio between the length of the low frequency parts and the length of the encrypted watermark. Every bit of the watermark is added into the relevant pieces of the low frequency parts in the DWT domain. Experimental results show that the algorithm is robust against some StirMark attacks.)

说明：  图像压缩，主成分分析的应用介绍，很有用啊(Image compression, principal component analysis applications introduced useful)

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