downsampleaup-sample

Iterative Project Planning icarnegie ssd 10 exercise 7

近场到远场的数值计算matlab实现，可用于天线等多方面，内含13个matlab源程序。(near field to far field transform using matlab)

《精通MATLAB最优化计算（第2版）》(龚纯,王正林）附光盘源码(MATLAB for Optimization calculation(2rd))

基于BP网络的语言识别，选取民歌、古筝、摇滚和流行四类不同音乐，用BP神经网络实现对这四类音乐的有效分类。(Speech recognition based on BP network, songs, zither, four different types of rock and pop music, with BP neural network classification of these four types of music valid.)

说明：  mte代码，wsn经典算法。画三维图的具体代码。(Mte code, WSN classical algorithms. Three-dimensional graph concrete code painting. )

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)

癌细胞形态学分析癌细胞形态学分析癌细胞形态学分析(cell carcinoma cell morphology analysis of morphological analysis)

Block Compressed Sensing of Images Using Directional Transforms

说明：  包含AR信号建模的常用算法和数字滤波器格型参数和直接参数的转换，亲测好用！(AR signal modeling algorithm and conversion of lattice parameters and direct parameters of digital filter.)

说明：  基于SVPWM技术的永磁同步电机仿真模型(SVPWM technique based on simulation model of permanent magnet synchronous motor)