bamutianxian

In this work, we are interested in the problem of the coding channel with impulsive noise, whose goal is to correct the errors due to the channel at the time of a numeric transmission. In particular, the convolutional turbocodes constitutes the last progress in this domain and it is very close to the theoretical limit predicted by Shannon in 1948. The objective of this work is to study and to test this coding with the modulation BPSK, to improve the bit error rate (BER) in presence a additive white impulsive GGD noise using the MAP algorithm.

阵列信号处理中关于DOA估计和信源数估计的几个经典算法的仿真(the simulation of some classic algorithms on array signal processing for DOA and the number of sources)

newton rophson power flow

Python Matlab Converter, version 2.2 Runs in Python

image compression using Neural Network with psnr

Small scale HPP optimization

A source code in matlab for pso(particle swarm intelligent)

為jacobi與gauss seidal迭代法 只要把A,b,N更換成你要的即可(To jacobi and gauss seidal iterative method as long as the A, b, N you want to replace)

计算八木天线的电流分布，方向图，输入阻抗(Calculated Yagi antenna current distribution, direction map, the input impedance)

一种用于非线性降维的流形学习算法，主要是先考虑用每一点处的局部切空间表示该点处的几何特征，然后都局部切空间进行排列(A manifold learning algorithm for nonlinear dimension reduction, mainly consider to use every bit of the local tangent space representation of geometric feature at that point, then the local tangent space alignment )