moxing

用窗函数法设计FIR数字滤波器，能熟悉矩形窗、海宁窗、汉明窗和布莱克曼窗。掌握用上述窗函数法设计FIR数字滤波器的原理和方法。熟悉线性相位FIR数字滤波器特性。了解各种窗函数对滤波特性的影响。 (FIR window design with a digital filter function can be familiar with the rectangular window, Haining window, Hamming window and Blackman window. Master window function with the FIR digital filter design theory and methods. Familiar with linear phase FIR digital filter characteristics. Learn a variety of window function on the filter characteristics.)

这个是我自己写的关于qpsk的MIMO信道的vblast的vblast算法,站长帮帮忙,我现在很需要一篇<信道估计算法>(基于瑞利衰落信道的LS算法的Matlab程序),后天就要交了,救人一命胜造7级浮屠啊!(this is what I wrote on the qpsk MIMO channel operator vblast the vblast France, the head of help out, I am now a need)

足底信息保存，关于信号的显示保存法，运行环境为Matlab。(Thenar information preservation, a signal display the save method, operating environment for the Matlab.)

说明：  卡尔曼滤波，对一组数据滤波。也可以自己修改针对矩阵形式(Kalman filter, a set of data filtering. You can make changes to the form for the matrix)

file that simulâ tes a system in matlab for help of beginners

ra_snr_gui.m 作用：统计不同信噪比下，五种信号的峰值旁瓣比RA和低高频均值比RM，绘制结果，参考图3.11和3.12 DFCW_RA_SNR.m 作用：产生正交离散频率编码信号，并计算峰值旁瓣比RA和低高频均值比RM LFM_RA_SNR.m 作用：产生线性调频信号，并计算峰值旁瓣比RA和低高频均值比RM OFDMLFM_RA_SNR.m 作用：产生正交频分线性调频信号，并计算峰值旁瓣比RA和低高频均值比RM PC_RA_SNR.m 作用：产生正交相位编码信号，并计算峰值旁瓣比RA和低高频均值比RM SIN_RA_SNR.m 作用：产生单载频信号，并计算峰值旁瓣比RA和低高频均值比RM 输入参数： vSNR：信噪比向量 输出结果： RA:峰值旁瓣比向量RA，对应信噪比向量 RM:低高频均值比向量RM，对应信噪比向量 calculateRA.m: 作用：计算不同信噪比下峰值旁瓣比RA和低高频均值比RM，参考论文3.4.5节 输入参数: sig：输入信号，可以是多行MIMO信号，运算中将合并为1行信号 vSNR：信噪比向量 输出结果： RA:峰值旁瓣比向量RA，对应信噪比向量 RM:低高频均值比向量RM，对应信噪比向量 sig_dfcw.m 作用：产生正交离散频率编码信号 sig_ofdm.m 作用：产生正交频分线性调频信号 sig_pc.m 作用：产生正交相位编码信号 (ra_snr_gui.m action: Statistics different SNR peak sidelobes than five signal RA and low high frequency average ratio RM, rendering the results, referring to Figure 3.11 and 3.12 DFCW_RA_SNR.m effect: generating orthogonal discrete frequency encoded signal, and calculate the peak sidelobe ratio RA and low and high frequency average ratio RM LFM_RA_SNR.m effect: generating chirp signal and calculates the peak sidelobe ratio RA and low high frequency average ratio RM OFDMLFM_RA_SNR.m effect: generating an orthogonal frequency division chirp signal and calculates peak sidelobe ratio RA and low and high frequency average ratio RM PC_RA_SNR.m effect: generating quadrature phase encoded signals and calculate peak sidelobe ratio RA and the average low and high frequency effects than RM SIN_RA_SNR.m: to produce a single carrier frequency signal, and calculate peak sidelobe ratio RA and RM lower than the average high-frequency input parameters: vSNR: SNR vector output: RA: peak sidelobe ratio v)

SVM神经网络的数据分类预测-葡萄酒种类识别(SVM neural network data classification forecast- Wine Type Identification)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

PSO源代码，求解单目标优化问题，本代码用于求解非线性方程组问题(PSO source code)

70 583 微软 认证 题库Windows Azure (The latest version of Microsoft certification exam 2015 Exam 70-583 Windows Azure)