Main_1D_Haar

用于dsp的功能开发软件，可以实现普通的dsp相关计算(dsp functions)

基于lsb隐写算法实现信息隐藏，matlab实现。(Write algorithm based on the LSB hidden information hiding, matlab realize.)

实验一 Matlab使用及离散时间傅立叶变换 实验二应用傅立叶变换对信号进行频谱分析 实验三 数字滤波器的设计 (Experiments using Matlab and a discrete-time Fourier transform second experiment the signal Fourier transform spectrum analysis experiment three digital filter design )

说明：  ofdm同步技术的房展（对于学习ofdm同步技术有所把帮助）(ofdm synchronization technology房展(ofdm synchronization technology for learning has to help))

详细介绍MATLAB应用，以解决各种问题，涉及各专业领域。(Details MATLAB application)

说明：  对压制干扰中噪声调频干扰的matlab仿真(Matlab simulation of suppression interference, including RF noise interference, noise AM, FM, phase modulation interference)

分析相位耦合的两个算例，分别利用了双谱和双相干系数法(Analysis of phase coupling of two examples, namely the use of a dual spectrum and bicoherence France)

求解任意阶魔方的变换的matlab程序源代码。(Solving the Rubik' s cube of any order transform matlab program source code.)

使用支持向量机SVM神经网络分类数据的预测(the prediction of data classification by SVM neural network)

Algorithm Given are P training pairs {X1,d1,X2,d2....Xp,dp}, where Xi is (n*1) di is (n*1) No of Categories=R. i=1,2,...P Yi= Augmented input pattern( obtained by appending 1 to the input vector) i=1,2,…P In the following, k denotes the training step and p denotes the step counter within the training cycle Step 1: c>0 , Emin is chosen, Step 2: Weights are initialized at w at small values, w is (n+1)*1. Counters and error are initialized. k=1,p=1,E=0 Step 3: The training cycle begins here. Input is presented and output computed: Y=Yp, d=dp Oi=f(wtY) for i=1,2,….R Step 4: Weights are updated: wi=wi+1/2c(di-oi)Y for i=1,2,…..R. Step 5: Cycle error is computed: E=1/2(di-oi)2+E for i=1,2,…..R. Step 6: If p<P then p=p+1,k=k+1, and go to Step 3: Otherwise go to Step 7. Step 7: The training cycle is completed. For E=0,terminate the training session. Outputs weights and k. If E>0,then E=0 ,p=1, and enter the new training cycle by going to step 3.