第12章 主成分分析

MATLAB稀疏矩阵和变量教程MATLAB sparse matrix and variable tutorial(MATLAB sparse matrix and variable tutorial MATLAB sparse matrix and variable tutorial)

矩阵逆运算，tsvd的算法，matlab函数程序(Matrix inverse operation, tsvd algorithm, matlab function procedures)

QPSO和FDTD相结合的英文文章，费了好大劲找到的(FDTD combined QPSO and English articles, and with great enthusiasm to find)

图像校准的测试图片。标准的棋盘图像。摄像机标定。(Image calibration test image. Standard chessboard image. Camera calibration.)

this package provides the segmentation using k means algorithm

matlab小波去噪例程，小波去噪基本实现功能，需要下载matlab自带的Wavelet Toolbox(Wavelet_denoising The basic function of wavelet denoising. It have to download the Wavelet Toolbox that comes with matlab.)

录制一段个人自己的语音信号，并对录制的信号进行采样；画出采样后语音信号的时域波形和频谱图；给定滤波器的性能指标，采用窗函数法和双线性变换设计滤波器，并画出滤波器的频率响应；然后用自己设计的滤波器对采集的信号进行滤波，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，分析信号的变化；回放语音信号；最后，设计一个信号处理系统界面。(Record a person s own voice signal, and recording the signal sampling draw sample after the speech signal time-domain waveform and frequency spectrum given filter performance indicators, using a window function method and the bilinear transform filter design and draw the frequency response filter then use the filter of their own design for the signal acquisition filtering, after filtering the signal to draw the time-domain waveform and spectrum, and filtering of signals before and after contrast, analysis of signal changes playback of voice signal Finally, the design of a signal processing system interface.)

16qam 换句话说,信号可能仍然是 探测到,但以较低的质量。这是通常所说 对软失败。幸运的是,新的传(16qam simulink ser mimo one of the receive chains fail, and the other receive chain is operational, then the performance loss is on the order of the diversity gain. In other words, the signal may still be detected, but with inferior quality. This is commonly referred to as soft failure. Fortunately, the new transmit diversity scheme provides the same soft failure. To)

人们熟知的双谱（bispectrum），也就是三阶谱估计。具有一定的参考价值。(known as the bispectrum (bispectrum), which is third-order spectrum estimation. With some reference value.)

pattern recoginition system