可以编译的GPS接收机例程

Active filter and control strategies

ARINC 821 specification

Control Sensor pour PMSM Boucle Complete

speech recognition using matlab

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

2d dct cofficient computation programs..

voice recognition feature

这是一个m文件，当系统存在噪声时，利用相关分析法辨识系统的脉冲响应，文件中还包含m序列的生成(This is a m documents, when the system involves noise, using the correlation analysis method to identify system impulse response, documents also include m series formation)

基于梯度的亚像素配准算法的Matlab程序 (Gradient-based sub-pixel registration algorithm Matlab procedures)

阵列信号处理，干扰处理，自适应波束形成，采用MATLAB代码编辑而成(array signal processing)