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短时傅立叶变换的几种形式 MATLAB代码，估计会对学习有所帮助 大家请下载(Short-time Fourier transform of several forms MATLAB code, it is estimated that learning will help you download)

说明：  这些MATLAB的M文件分为两部分：程序清单A中收录了产生PPM-TH和PAM-DS这两个信号源的所有函数；程序清单B中收录了加性高斯白噪声（AWGN）信道建模，正交和非正交单脉冲PPM-TH接收机结构，以及反极性PAM-DS单脉冲接收机结构仿真所需的所有函数。(The MATLAB M-file is divided into two parts: A list of procedures in the collection of produce PPM-TH and PAM-DS two signal sources all functions Listing B, contains an additive white Gaussian noise (AWGN) channel construction mode, orthogonal and non-orthogonal single-pulse PPM-TH receiver structure, as well as anti-polarity PAM-DS receiver structure simulation of single-pulse all the necessary functions.)

我又找到的一个matlab的最新工具箱，能解决很多问题，由于内容很杂，有这方面需要的朋友不妨下载看看，仔细研究一下，或许有新的发现(I found one of the latest Matlab Toolbox can solve many problems, since the content is very complicated, and a need of a friend may wish to download look carefully, there may be a new discovery)

本程序基于matlab开发，作用是做回归分析及逐步回归分析(Regression analysis and stepwise regression)

The commands to control window movement are typically communicated over a controller area network (CAN). In this model, the switches that may be located in the center console of the vehicle and that produce the commands are included

关于端点检测的几种方法，语音样本是自己录制的，对传统算法做了一些改进，加入了去噪，去噪之后再进行端点检测，均调通 vad0303：自己设置调整门限为一定值 vad0310：根据能量值和过零率设置门限，自适应门限值 vad0310_2：基于比例因子的门限自调整 vad0310.m加入了噪声，端点检测前都噪声进行了处理 entropy.m：基于自适应子带频谱熵的稳健性语音端点检测 可用于语音增强及端点检测 dbdoor.m：双门限算法，用于语音端点检测。可以通过调整门限值，并加入门限自适应算法，实现语音端点检测(Several methods on endpoint detection, recording their own voice samples, the traditional algorithm has made some improvements, adding a de-noising, and then after de-noising endpoint detection are transferred through)

Sullivan关于FTDT经典文章的MATLAB翻译，第三章第三个例子的源程序(Sullivan article on FTDT classic MATLAB translation of Chapter III of the third example of the source code)

一个计算机下国际象棋的功能,拥有完全的代码,由matlab编成的很多人工智能的函数,有详细的文档,直接运行chess.m文件(chess source)

Cripting with secret key

是机器学习的例程，构成不同频率的调制信号，有详细的注释，在MATLAB中求图像纹理特征，包括调制，解调，信噪比计算，利用自然梯度算法，可实现对二维数据的聚类，有PMUSIC 校正前和校正后的比较。 ( Machine learning routines, Constituting the modulated signals of different frequencies, There are detailed notes, In the MATLAB image texture feature, Includes the modulation, demodulation, signal to noise ratio calculation, Use of natural gradient algorithm, Can realize the two-dimensional data clustering, A relatively before correction and after correction PMUSIC. )