lvq_apple

可以进行相似矩阵的建立 很不错的一款程序 运算数独很快(Similar matrix can be established very good procedures for computing a fast Sudoku)

MATLAB 牛顿下山法的一个小程序，原理就不详细说了。因牛顿迭代法受初值选取的限制，为防止迭代发散，对迭代过程再附加一项要求:|f(x(k+1))|<|f(x(k))|,将牛顿法迭代的结果:x(k+1) =x(k)-f(x(k))/f (x(k))和前一近似值x(k)适当加权平均做为新的改进值:x(k+1)=u*x(k+1) +(1-u)*x(k),其中u(0<> 迭代时u取1开始，逐次减半计算，直至附加要求符合为止。实例计算中x(k)=x(0)不变，只更新u和x(k+1)，直至:|f(x(k+1))|<|f(x(k))|（即|f(x(1))|<|f(x(0))|)，然后更新下山因子为u=1,继续以牛顿法迭代。(MATLAB Newton-down a small program, the principle is not explained in detail. Newton iteration by the initial value of the selected limit, in order to prevent additional iterative divergence, the iterative process a request: | f (x (k+1)) | < | f (x (k)) | Newton iteration Results: x (k+1) ' = X (k)-f (x (k))/f' (x (k)) and a previous approximation x (k), appropriately weighted average as a new improved value: x (k+1 ) = u* x (k+1) ' + (1-u)* x (k), where u (0 < u> iteration take successive calculated at 50 until the additional requirements found so far. examples of calculation of X ( k) = x (0) unchanged profile u and x (k+1, hungry) until: | f (x (k+1)) | < | f (x (k)) | (i.e. | f (x (1)) | < | f (x (0)) |), then profile downhill factor for u = 1, to continue to Newton iteration.)

matlab判别分析，基本思想是将高维的模式样本投影到最佳鉴别矢量空间，以达到抽取分类信息和压缩特征空间维数的效果，投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离，即模式在该空间中有最佳的可分离性。(matlab discriminant analysis, the basic idea is to sample the high-dimensional pattern projected onto the optimal discriminant vector space, in order to achieve the classification of information extraction and compression feature space dimension effect, the projected sample assurance model in the new subspace has the largest class room the intra-class distance and the minimum distance, i.e., have the best separability pattern in the space.)

IEEE802.11n系统级仿真完整程序，引入了MIMO OFDM等技术，实现更高的吞吐率。(IEEE802.11n complete system-level simulation program, the introduction of MIMO OFDM technology to achieve higher throughput.)

说明：  乘积的最后三位的值只与乘数和被乘数的后三位有关，与乘数和被乘数的高位无关，利用此来求尾数(The last three values of the product only with the multiplier and the multiplicand on the back three, with a high multiplier and the multiplicand has nothing to do, take advantage of this to seek mantissa)

基于rof模型 投影算法 实现去噪 去模糊 已经写了一部分 没有写完 呵呵 (Rof model based on projection algorithm to realize the denoising fuzzy has written a part of didn t finish writing ha ha )

markov2 program in matlab

this code is developed in matlab for different sound using wavelets

This is the MATLAB platform on setting up the simulink model. Hope everyone to correct mistakes

主成分分析代码， 可以用于图像压缩等等，也叫PCAH或者KL变换(PCA or K_L transfer)