mvdr_1signal_1interfere

波形atom的提取，里边有应用实例，很不错(Waveform extraction atom inside application has several examples)

open the zip file .. here you will find some help documents and then you can use those to get some valuable indformation about image processing

说明：  信息隐藏算法（转载）武汉大学出版处王丽娜教授等书中源码(Information hiding algorithm (reproduced))

mimo系统中硬检测，运用matlab软件进行仿真，(mimo system hardware detection, the use of matlab simulation software,)

文章对几种常用的基于循环前缀(CP)的最大似然同步算法进行了分析，并对其频偏估计方差进行了比较；同 时针对基于CP 的同步算法在多径衰落信道下性能较差的情况，提出了一种改进的CP 同步算法并进行了仿真，结果表明相比 于原ML 算法，文中算法在多径信道下可有效提高频偏估计性能。(】This paper does some research on multiple maximum-likelihood (ML) algorithms based on cyclic prefix (CP) and compares variances of frequency-offset estimation After the analysis of the bad performance of CP based algorithms in multi-path fading channels, an improved CP algorithm is proposed and the simulation shows that this algorithm can improve its performance effectively in multi-path fading channels.)

自适应采样,可以根据灰度变化的不同来进行采样。matlab代码(adaptive sampling)

matlab code for numerical derivatives and integrals

数据包络法，层次分析法的结合，用于方案评估(Combination of data envelopment analysis and analytic hierarchy process for program evaluation)

实现多输入单输出的预测功能，预测精度高，程序操作简单，易于修改应用。(The prediction function of multi input and single output is realized. The prediction accuracy is high, the program operation is simple, and it is easy to modify the application.)

constructive role of noise in signal detection from parallel arrays of quantizers.(A noisy input signal is observed by means of a parallel array of one-bit threshold quantizers,in which all the quantizer outputs are added to produce the array output.s(t)=s1(t)with prior probability P0,or s(t)=s0(t)with prior probability P1=1-P0 input signal-noise mixture x(t)=s(t)+n(t) x(t) is observed by means of a parallel array of M threshold comparators. yi(t)=U[x(t)+wi(t)-theta],i=1,2...M.wi(t) is threshold noise.Y(t)=y1(t)+y2(t)+...yM(t), the array output Y(t) is meansured at T distinct times.the plot is fthe theoretical value of minimal detection error probability Per varied with sigma.)