proj_2

PTOTEUS中所有元件中英文对照表，有需要的朋友可以下载使用(PTOTEUS all the components in bilingual form)

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)

构造模拟信号进行ICA独立分量盲源分离程序，值得参考和下载哦，可直接运行(Constructed analog signal the ICA independent component blind source separation program, worth considering and download Oh, and can be run directly)

This Program simulates the MVDR beamformer which is useful for beginners.

i don t know what exactly it was

Particle filter implementation. Simple and easy. It used only four particles. But it easy to understand. gook Lucky

finger print recognition algo in matlab

ieee fellow的phd讲义，wireless communications mimo system(ieee fellow of the phd handouts, mimo wireless communications system)

calculation PI by method MC

PorousMedium2LayerModel 双向介质波场模拟（1）(Porous Medium 2Layer Model （1）)