01296781

数字基带传输系统的MATLAB仿真实现 function [sampl,re_sampl]=system_1(A,F,P,D,snr,m,N) 输入变量A ,F,P分别为输入信号的幅度、频率和相位，D为量化电平数，snr 为信道信噪比，N为D/A转换时的内插点数；输出变量sampl为抽样后的输入 信号，re_sampl为恢复出的输入信号。 数字基带传输系统的MATLAB仿真实现 [sampl,quant,pcm]=a_d_1(A,F,P,D) [changed_ami]=signal_encod_1(pcm) [ami_after_channel]=channel_1(changed_ami,snr) [adjudged_ami]=adjudg_1(ami_after_channel,m) re_pcm=signal_decod_1(adjudged_ami) [re_voltag,re_sampl,re_sampl1]=d_a_1(re_pcm,sampl,D,N)(Digital baseband transmission system implementation MATLAB simulation function [sampl, re_sampl] = system_1 (A, F, P, D, snr, m, N) input variables A, F, P, respectively, for the input signal amplitude, frequency and phase , D to quantify the number of electric-ping, snr for the channel signal to noise ratio, N to D/A converter when the interpolation points output variables for the sample after Sampl input signal, re_sampl for the restoration of the input signal. Digital baseband transmission system simulation MATLAB implementation [sampl, quant, pcm] = a_d_1 (A, F, P, D) [changed_ami] = signal_encod_1 (pcm) [ami_after_channel] = channel_1 (changed_ami, snr) [adjudged_ami] = adjudg_1 (ami_after_channel, m) re_pcm = signal_decod_1 (adjudged_ami) [re_voltag, re_sampl, re_sampl1] = d_a_1 (re_pcm, sampl, D, N))

面阵中二位角度估计unitary—esprit算法估计DOA(Face two Angle in the array is used to estimate the unitary estimates-esprit DOA)

一个QPSK调制解调的程序，在Matlab环境下实现。(A QPSK modulation and demodulation process in Matlab environment to achieve.)

Ardtool是Matlab的图形用户界面，用于分析天线阵列的不同类型。认识的天线辐射模式的程序，以及天线的类型分类编程(Ardtool is a Matlab graphical user interface for the analysis of the different types of antenna arrays. Understanding antenna radiation pattern procedures, and antenna type classification program)

BPSK modulation simulation,may be useful for you!

说明：  matlab7.0基础教程，帮助你快速的提高运用matlab的技巧(Based on Matlab 7.0 tutorial)

插值与拟合，解方程，数据分析，多抽样率信号处理，最终的权值矩阵就是滤波器的系数。( Interpolation and fitting, solution of equations, data analysis, Multirate signal processing, The final weight matrix is ??the filter coefficient.)

盲源分离中的J.F.Cardoso的对角化matlab源程序 (Blind Source Separation of JFCardoso diagonalization matlab source)

matlab环境下编写的fft算法实现的源代码(prepared environment matlab algorithm fft source code)

高阶统计量下的MIMO系统盲信道估计算法(Higher-order statistics blind MIMO system channel estimation algorithm)