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LDA 人脸识别中的 makebaisc程序段 希望对毕业设计用的到的同学有用(LDA Face Recognition makebaisc program segment would like to graduate design students used to be useful)

SPIHT的编码与解码程序，在Matlab下运行。可以控制码率(SPIHT codec running under matlab. rate control is also available.)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)

tham khao Xu ly tieng noi tren matlab

偏最小二乘(PLSR) 分别求出样品集光谱矩阵和样品组分矩阵的主成分矩阵,将这两个矩阵相关联,求其线性关系,用所建立的线性函数来预测未知样品。 (Partial least squares (PLSR) The principal component matrix samples were calculated in the spectral matrix and sample matrix, the two matrix associated with the linear relationship, linear functions are developed to predict unknown samples.)

里面是一写我写MATLAB粘连细胞分割时搜索到的一些比较有用的资料，一起与大家分享(There is a write I write MATLAB adhesion cell division when the search for some of the more useful information to share with you together)

Sphit算法针对１２８*１２８的灰度图象进行压缩处理，经典算法，可以任意改进()

基于 MATLAB 的时域信号采样及频谱分析，是很好的学习时域信号的matlab源代码。(MATLAB-based time-domain signal sampling and spectral analysis, is a very good study of time-domain signal matlab source code.)

QPSO算法,不会跑出定义域，依据一篇综述写的代码。(QPSO algorithm will not run out of the domain, based on a review to write code.)

Equalizer model for a comm channel