CD_Programs2

说明：  基于Cao方法求得混沌时间序列相空间重构的最优化嵌入维的Matlab程序(Cao method, based on the chaotic time series reconstruction phase space optimization of the embedded peacekeeping procedures Matlab)

ANFIS sample code, simulation in matlab.

说明：  毕业设计之跳频通信系统的设计与仿真。努力学习noma技术，顺利毕业。(Frequency hopping communication system)

this file is usefull for all student

m-file to convert RGB2grayscale

以优化SVM算法的参数c和g为例，对FA（萤火虫算法）MATLAB源码进行了逐行中文注解。是很好的学习材料。( SVM algorithm to optimize the parameters c and g as an example, FA (firefly algorithm) MATLAB source was progressive Chinese annotations. It is a good learning materials.)

对录音信号集 中的某一语音，利用BATLAB设计一美尔例谱算法，并实现。 取信号集 中的一个语音信号：“xxxxxx”，将它作为输入的语音信号来为设计一个美尔倒谱算法，在该算法中，主要设计了以下环节： 1.读入一个语音信号；2.对这个信号归一化；3.对归一化的信号进行加窗处理（这里的矩形窗长度必须为257，重帧长64）；4.进行预加重处理，即通过一个高通滤波器： ；5进行512点的FFT；6.分别取模平方得到功率谱；7.在设计的mel滤波器组中，我采用了25个带通滤波器；8.将得到的功率谱信号通过mel滤波器组，得到相应的25个功率值；9.对这些功率值取自然对数；10.对这些值取离散作弦变换；11.将得到的值去掉直流分量，取其它值作为MFCC参数。 (Concentrated on recording a voice signal, using BATLAB designed Mayer cases spectral algorithm, and implementation. Get a voice signal signal focus: "xxxxxx", will it as input for the design of a voice signal to Mel Cepstrum algorithm in the algorithm, the main design of the following links: 1. Read a speech signal 2. On the signal normalized 3. Of the normalized windowed signal processing (here, rectangular window length must be 257, re-frame size 64) 4. For Pre-emphasis processing through a high-pass filter: 5 for 512 points of FFT 6. modulo square were obtained spectrum 7. in the design of mel filter banks, I use a 25 band-pass filter 8 . will be the power spectrum signal by mel filter bank, corresponding to the 25 power values 9. on the power to take the natural logarithm value 10. to take these values as strings of discrete transform 11. will be of value to out DC component, to take other values as MFCC parameters.)

多任务压缩感知算法的相关代码。代码良好，可以运行。(Multitasking compressed sensing algorithm related code)

雷达有多个模式，建立一个雷达数据库，用灰关联分析的方法对雷达进行模式识别(Radar has multiple modes, the establishment of a radar database, using gray relational analysis method for pattern recognition radar)

深度学习matlab工具箱,包括深度deep belief nets,stacked autoencoder,convolutional neural nets等网络。(Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.)