AT697F

MATLAB与外部程序接口的设计与应用，内容比较前面(MATLAB and external program interface design and application, compare the contents of the front)

计算正弦信号加噪声的相关函数。系数b 决定余弦相关函数在噪声指数型相关函数中的“比重”。T为正弦信号周期。正弦信号加相关噪声的相关函数图像为一个指数函数和一个余弦函数叠加的波形。(Calculated sinusoidal signal plus noise correlation function. Coefficient b determine the cosine correlation function in the noise correlation function of exponential type in " proportion." T for the sinusoidal signal cycle. Sinusoidal signal plus noise correlation function related to the image as an index function and a cosine function superimposed waveform.)

STATISTICAL SIGNAL PROCESSING Homework and their Solutions too.

压缩感知的BP MP OMP重构算法比较，包括运行时间、误差、PSNR的比较，稀疏表示为小波变换(compressed sensing reconstruction algorithm comparing BP MP OMP, including comparative run-time error, PSNR ，sparse representation is the wavelet transform)

基于matlab GUI界面设计,UPAwIgD参数在matlab R2009b调试通过，本科毕设要求参见标准测试模型，对于初学者具有参考意义，AipuFFZ条件利用matlab GUI实现的串口编程例子，本程序的性能已经达到较高水平。( Based on matlab GUI interface design, UPAwIgD parameter In matlab R2009b debugging through, Undergraduate complete set requirements refer to the standard test models, For beginners with a reference value, AipuFFZ condition Use serial programming examples matlab GUI implementation, The performance of the program has reached a high level.)

说明：  OFDM系统的PAPR性能与分割方式有关，但除此之外还与输入数据的子分组数V、相位集合中的相位数P以及子载波数量N有关。下面，对各种条件下PTS-OFDM系统的性能进行了仿真。(PAPR performance of OFDM systems and partitions the way, but in addition to the input data, the number of sub-group V, number of phases in the collection phase P and N on the number of subcarriers. Here, a variety of conditions PTS-OFDM system performance is simulated.)

This package implements fast compressed sensing using structurally random matrices (SRM) described in [1] and [2]. As the package is still under development any comments or bug reports are highly welcome.

uwb无线电基础源码，第十章共三个程序，测距及定位(UWB radio based on source code, chapter X a total of three procedures, ranging and positioning)

基于NET和MATLAB的虚拟实验室构建，希望对大家有用(NET and MATLAB-based virtual laboratory building, we hope to be useful)

这是一个半光滑牛顿法解决图像复原问题的MATLAB算法(semi-smooth newton method for image restoration)