one_phase_half_bri_inverter

CDMA giga模块 CDMA开发资料 AT指令集(CDMA giga module development data CDMA AT command set)

说明：  Matlab语言在数字语音处理上的应用。(Matlab language in the digital voice processing applications.)

几个典型的混沌时间序列的生成程序,给出了各个混沌系统的吸引子图形(Several time series generated typical chaotic program)

特徵粹取（feature extraction）是特徵選取（feature selection）的延伸，簡單地說，我們希望將資料群由高維度的空間中投影到低維度的空間，因此，我們必須找出一組基底向量（base）來進行線性座標轉換，使得轉換後的座標，能夠符合某一些特性。 我們可以將特徵粹取分成「包含類別資訊」和「不包含類別資訊」兩大類。包含類別資訊指的是我們已經知道哪些資料分別歸屬於哪一類；而不包含類別資訊的特徵粹取則適用於我們不知道手上的資料點分別該歸屬於哪一類，甚至連該劃分成幾類都不知道的情況。對於這兩大類資料，可以分述如下： 對於「不包含類別資訊」的資料，我們通常使用「主要分量分析」（principal component analysis），簡稱 PCA。 (Cuiqu features (feature extraction) is feature selection (feature selection) extension, simply put, we want to base the projection data the high-dimensional space to low-dimensional space, so we have to find a set of basis vectors ( base) to the linear coordinate conversion, so that after the coordinate conversion, can meet a number of features. We can feature Cuiqu into " category contains information" and " does not contain a category of information," two categories. Contains categories of information refers to what we already know what kind of information are attributed to Cuiqu features include categories of information are not applicable to information we do not know the points are in the hands of the home in which category, and even that is divided into several class do not know the situation. For these two categories of information, can be divided as follows: For information " does not include the categories of information" , we usually use the " )

在matlab环境下实现语音信号的预处理，包括分帧，加窗，滤波，并进行端点检测，绘图。(Voice signal preprocessing in the Matlab environment, including the frame, windowing, filtering, and endpoint detection, drawing.)

Fast Fourier Transform

the fast autocorelation function matlab code, used for basicallly pitch extraction and thus is extremely useful

基于COM组件的VB与MATLAB混合编程实例，简单易懂，快速实现混编目的(COM-based components mixed VB and MATLAB programming examples, easy-to-read, fast mixed realize the purpose of)

CCA的实现，用于两个数据集合上的典型相关分析，需要确定维数等(kjasd asdgf kl dsf)

精通matlab 科学计算 第5-7章代码(Proficient in matlab scientific computing Chapter 5-7 code )