FIR-filter

《matlab实例》有关matx_processor方面的实例源码，希望对大家有帮助。(" Matlab examples" the source matx_processor Examples, we want to help.)

it s knn simulation by matlab toolbox

自适应信号处理，基于QRD-LSL算法的滤波器算法的仿真(Adaptive signal processing, based on QRD-LSL algorithm simulation of the filter algorithm)

粗糙集程序源码粗糙集的matlab代码，里面包含几个文件，都是针对不同的情况使用(Rough set matlab code, which contains several files, are using for different situations )

内容是交通模式识别的大作业，包含了具体的代码(Content is the big job on traffic pattern recognition, including the specific code)

说明：  matlab平台实现的sar Omega-K算法(SAR omega-k algorithm based on MATLAB)

很好的介绍语音增强的论文资料，包括各种算法的MATLAB的实现程序，可供读者学习运用。(very good for studying pitch.)

基于Matlab上，实现MFSK调制解调，Simulink文件。(Matlab-based, the realization of MFSK modem, Simulink files.)

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)

matlab COM组件和MFC的混合编程(matlab COM component and MFC programming mix)