psat-2.1.6-oct

Gauss-Jordan routine, single RHS

TLD是英国Surrey大学的Zdenek Kalal发表在PAMI2012年七月刊的一篇文章，主要贡献在于将跟踪与检测结合在一起，实现了工程上可应用的实时跟踪程序(TLD is Zdenek Kalal at the University of Surrey, UK, published in the July issue of PAMI2012 in an article, the main contribution is the tracking and detection together to achieve real-time tracking program on the project can be applied)

首先根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。然后根据长训练字的特性，进行相关运算，进行OFDM符号FFT窗口起始位置的估计。估计出FFT窗口的位置后，先在时域进行小频偏的估计，将两个长训练字进行小频偏补偿后，进行FFT运算，根据FFT运算的结果进行整数倍频偏的估计。这些参数估计完成后，就可以进行数据解调了。先对数据部分进行完整的频偏补偿，然后根据估计的FFT窗口位置进行FFT运算得到频域的数据，进行解调。然后在对应于导频的子载波位置上提取出导频信息，根据导频信息估计出剩余定时误差以及剩余的信道响应误差，将误差量送入环路进行跟踪。当收到所有数据后，重新回到信号到达检测状态，进行下一次信号到达的检测和信号接收。(First, according to the characteristics of the short training word correlation operation, the signal reaching the detector, when the detected correlation value is greater than the threshold after a certain number of times that a signal arrives. And then the characteristics of long training word, the correlation operation for the FFT window starting position of an OFDM symbol estimate. The estimated position of the FFT window, the first small frequency offset in the time domain estimation, the two long training word small frequency offset compensation, the FFT operation, the FFT result of the operation for integer frequency offset estimate. These parameter estimation is completed, the data can be demodulated on. The first portion of the data for a complete frequency offset compensation, and based on the estimated FFT window position of the FFT operation to obtain frequency domain data, demodulated. Then corresponding to the position of the pilot subcarriers are extracted on pilot inform)

小波工具箱的应用基础 395 16.1 一维小波分析的应用 395 16.1.1 小波分解在普通信号分析中的应用 395 16.1.2 小波变换在信号特征检测中的应用 411 16.2 二维小波分析的应用 417 16.2.1 小波分析在图像平滑中的应用 417 16.2.2 小波分析在图像增强中的应用 418 16.2.3 小波分析在图像融合中的应用 420 16.3 小波包分析的应用 422 16.3.1 小波包在信号时频分析中的应用 423 16.3.2 小波包在图像边缘检测中的应用 429(toolbox of 16.1 basis of a 395-dimensional wavelet analysis of 395 small 16.1.1 Decomposition of the ordinary wave signal analysis of 395 16.1.2 wavelet transform in signal detection of 41 a 16.2 2D wavelet analysis of 417 16.2.1 wavelet analysis in image smoothing of 417 1 6.2.2 wavelet analysis in image enhancement of 418 16.2.3 wavelet analysis in Image Fusion System 420 16.3 wavelet packet analysis of wavelet packet Entry 422 in the signal frequency analysis of 42 3 16.3.2 wavelet packet in Edge Detection of 429)

rgb to ycbcr conversions and other ype of representations

how to construct a gui using matlab

说明：  对一段时域信号进行加窗处理并进行fft变换，将信号进行时频转换处理。(Application a windows to the time domain signal,and convert it to frequency domain by fft method.)

用m语言写的最小二乘法的算法，可以直接嵌入系统中计算，简单方便(use m language to write the method of least squares algorithm, can be directly embedded systems calculation is simple and convenient)

给出了基本的有监督的基于矩阵分解的链路预测的代码。(Supervised link prediction based on matrix decomposition)

Using GUI........................