Chap_5_MVDR

产生一均匀分布的白噪声信产生均匀分布的白噪信号，使均值为0，功率为p号u(n),画出其波形，并检验其分布情况，产生零均值功率0.1且服从高斯分布的白噪声，sinc信号，chirp信号，线性卷积(Generate uniformly distributed one letter of the white noise generated uniformly distributed white noise signal, so that the mean is 0, the power for the p number u (n), draw their waveforms, and test its distribution, resulting in zero average power of 0.1 and subject to Gaussian distribution of white noise, sinc signals, chirp signals, the linear convolution)

说明：  本程序是一个采用背景差分的运动目标检测方法(This program is a moving target using the background difference detection method)

半盲估计算法利用很少的导频符号，以LMMSE准则来估计、初始化信道系数，运用的两种算法进行对比，牺牲极小的带宽而尽可能准确的传输有用信息(Half blind algorithm using little pilot.finally symbols, with LMMSE criteria to estimate, initialization, the use of the channel coefficient two algorithm is compared, and sacrifice of tiny bandwidth and accurately as possible transmission useful information )

Channel Estimation of MIMO OFDM with MMSE Estimator.

基于KPCA和加权量方法的期刊论文资料，希望对大家有所帮助(KPCA and weighted quantity method based on the journal of material)

注水功率算法的示意图，给出了源程序以及仿真图，输入数据等。(water filling allocation)

设计一维纳滤波器 (1). 产生三组观测数据：首先根据S(n)=aS(n-1)+w(n)产生信号S(n)，将其加噪声(信噪比分别为20db，10db，6db)，得到观测数据X1(n)，X2(n)，X3(n)。. (2). 估计Xi(n)，i=1，2，3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L，N对实验结果的影响。(Design a Wiener filter (1) produces three sets of observations: First, according to S (n) = aS (n-1)+ w (n) generates the signal S (n), to add noise (SNR are 20db, 10db, 6db ), obtained observational data X1 (n), X2 (n), X3 (n). . (2) estimated Xi (n), i = 1,2,3 of the AR model parameters. Assuming the signal length L, AR model order N, the analysis of experimental results, and discuss the changes in L, N to the experimental results.)

数学建模资料，含有详细的数学建模算法，参加数学建模大赛的必备资料(Mathematical modeling data, contains detailed mathematical modeling algorithm)

说明：  BUCK 电路、 PID控制器、降压电路、PFC校正(Buck PID controller, PFC control strategy)

神经网络处理污垢数据的matlab程序的lavbview实现(The interface of fouling thermal resistance LabVIEW)