Chapter_6

信号与信息处理——阵列信号处理DOA估计的matlab算法，这是线性调频信号的稀疏分解的另一种算法源码(Signal and information processing- array signal processing matlab algorithm for DOA estimation, which is a linear FM signal another sparse decomposition algorithm source code)

matlab读取ers sar 数据 matlab读取ers sar 数据 matlab读取ers sar 数据 asar 数据(read ers sar and asar data)

matlab code for Download Daily Data Google and Yahoo! Finance

关于空时编码的仿真代码，希望对你有所帮助哈。(On space-time coding simulation code, I hope for your help Kazakhstan.)

说明：  应用直接幅度方差实现mask\mfsk\mpsk的分类识别，识别率高达97%。(The direct amplitude variance is used to classify mask, MFSK and MPSK, and the recognition rate is as high as 97%.)

when SNR is high , 1st sample estimator provides good estimate of A. it has no noise effect . so we don’t need averaging effect to reduce noise when SNR is high. However variance is still low in sample mean estimator which shows that in reality ,sample mean is good estimator than 1st sample estimator. So, for high SNR, we do not need to reduce the effect of noise by averaging. or we can say that for high SNR let say >1000 , 1st sample estimator got reduced noise. But as for as variance is concerned , the sample mean has low variance for high SNR as well.

The p erceptro n algo rithm ceases to update the para meters only when all the training images ar e classified corr e ctly (no mistakes, no update s). So, if the training images are p ossible to clas sify co rrectly with a linear c la ss ifier, will the p erceptr on al gorithm find such a classifier? Yes , it does, and it w ill co nverge to such a classifier in a finite numb er of updates (mistakes ). We’ll sho w this in lectur e 2.

梳妆导频的程序使用，对于信道估计有着很大的作用(Dressing procedure for the use of pilot for channel estimation has a significant role in)

自己编的matlab程序。用于模式识别。结合特征提取方法sequential_forward_selection使用。(The matlab own procedures. For Pattern Recognition. Combination of feature extraction methods sequential_forward_selection use.)

Dimensionality reduction