waveletchange

基于标量量化的图像多描述编码（MDSQ）是提高信息传输质量的一种有效方法,本程序利用Matlab 工具在处理矩阵上的灵活性,实现了MDSQ 算法, 并通过解码后的图像证明该方法良好的多描述性能。(Scalar quantization-based image multiple description coding (MDSQ) is to improve the quality of information transmission of an effective method, the procedures for the use of Matlab tool flexibility matrix treatment, realized MDSQ algorithm, and through decoded images show that the method good performance of multiple description.)

谱减法实例，已经做过实验，可以运行，只要载入数据即可(Spectral subtraction instance, has done the experiment, you can run, as long as the data can be loaded)

GUI CREATING IN MATLAB EASY AND FAST

TolPac=1 输入数据块数 PacketLen=10 每块的符号数目 M=64 调制指数 SNR=20 NFFT=256 Length of IFFTCpLength=16 Length of Prefix NSubc=64 Number of subcarriers freoff=0.5 归一化频偏2.25,phaseoff=0.1 (TolPac = 1 input data blocks the the PACKETLEN 10 of the span per block, the number of symbols M = 64 modulation index SNR = 20 NFFT = 256 the length of IFFTCpLength = 16 Length of Prefix NSubc = 64 Number of subcarriers freoff = 0.5 the normalization frequency offset 2.25 phaseoff = 0.1 )

利用Hopfield神经网络模型，可以快速找到最优的一条路线。(Hopfield neural network model, can be used to quickly find the optimal route.)

说明：  pso-svm very useful, we want to be useful.

用最速下降法求解多维函数的极值 function [x,minf]=minFD(f,x0,var,eps) 目标函数：f 初始点：x0 自变量向量：var 精度：eps 目标函数取最小值时的自变量值：x 目标函数的最小值：minf( With the steepest descent method for solving the multi-dimensional function of the extreme value function [x, minf] = minFD (f, x0, var, eps) target function: f Initial Point: x0 argument vector: var Accuracy: eps target function takes the minimum value of the independent variable values: x minimum target function: minf)

说明：  傅里叶变换，FSERIES 返回傅里叶系列系数，代码中对参数有详尽的解释说明，方便看懂(Fourier transform, FSERIES back Fourier series coefficients, the code of the parameters detailed explanations, easy read)

机械机构RRR-PRP运动学仿真，包括速度，加速度的仿真，内有运动模型，M文件。(Mechanical kinematics simulation, including speed, acceleration RRR-PRP.)

matlab 统计工具箱的饿应用 有好多课件 很好用(matlab statistics toolbox hungry applications have a lot of very good use of courseware)