ChannelModelingWhitePaper

object-oriented programming

说明：  盲源分离(BSS: Blind Source Separation)，又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号(观测信号)中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道的混合矩阵。(Blind source separation (BSS: Blind Source Separation), also known as blind signal separation, refers to how to separate each source signal from the aliased signal (observed signal) when the theoretical model of the signal and the source signal cannot be accurately known)

watermarking in matlab

PAM的调制和解调 BER的计算 ISI的眼图(PAM modulation and demodulation BER eye diagram calculation ISI)

已知观测数据为A+W(n)，其中A为直流信号，W为复高斯噪声，服从CN（0， ），在统计N次下，计算X的统计平均值 ，求T(x)= 的pdf：p(T(x)|H0)、p(T(x)|H1)。 H0： W H1： A+W (Known observation data A+W (n), where A is the DC signal, W is the complex Gaussian noise, subject CN (0,), N times in the statistics, the calculation of the statistical mean of X, find T (x) = a pdf : p (T (x) | H0), p (T (x) | H1). H0: W H1: A+W)

集员约束的共轭梯度算法应用于自适应波束形成 Set-membership constrained conjugate gradient adaptive algorithm for beamforming 的详细代码(the code for the paper Set-membership constrained conjugate gradient adaptive algorithm for beamforming )

基于四阶统计量的盲源分离算法，它是特征矩阵联合对角化的简称(Fourth-order statistics-based blind source separation algorithm, it is the characteristic matrix referred to as the joint diagonalization)

说明：  自己编写的卡尔曼滤波算法算例，实现四阶AR模型的最优权值估计。(Kalman filter algorithm, for optimal weight estimating of fourth-order AR model.)

simulink环境下的三相NPC（中性点钳位）逆变器的仿真模型(simulink environment three phase NPC (neutral point clamped) inverter simulation model)

利用MATLAB中小波信号“db4 对信号分解和重构，去除噪音(MATLAB signal using wavelet )