EMD-HHT-LMD-EEMD

利用分步傅里叶方法计算光纤激光器输出脉冲光谱(The use of step-by-step Fourier method pulse fiber laser output spectrum)

常用图像处理程序集(Matlab入门级)(commonly used image processing procedures set (Matlab entry-level))

实现了P4多相码的产生和脉压，互补码的产生和自相关输出(The realization of the P4 polyphase code generation and pulse pressure, complementary code generation and auto-correlation output)

simulink solar power generation system simulation. A Buck converter drived by MPPT command.

Construct the short length of QC LDPC codes without girth 4 and girth 6(The Program to construct the short length of QC LDPC codes without girth 4 and girth 6 Copyright (C) Yang XIAO, Jun FAN, BJTU, July 26, 2007, E-Mail: yxiao@bjtu.edu.cn. This program presents an approach [1] for constructing the short length of LDPC codes with girth 8. First, we design 3 submatrices with different shifting functions given by our schemes, then combine them into a matrix according to our approach, finally, expand the matrix into a desired parity-check matrix using identity matrices and cyclic shift matrices of the identity matrices. The simulation results in AWGN channels show that the codes which can be obtained by the generator matrix derived from this check matrix for encoding the random information bits are as good as random LDPC codes [1]. Ref: [1] J. Fan, Y. Xiao, “A design of LDPC codes with large girth based on the sub-matrix shifting”, IET International Conference on Wireless Mobile and Multimedia Networks Proceedings (ICWMMN 2006), (CP525), p. )

说明：  蒙特卡罗马尔科夫链学习相关知识，了解马尔科夫和蒙特卡罗常用方法。(Markov chain Monte Carlo to learn relevant knowledge, understanding common Markov and Monte Carlo methods.)

DC Motor Thermal Circuit The demo illustrates how the thermal behavior of a motor can be simulated in lumped parameters.

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混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)

matlab工具箱，神经网络 很全面，超星版(matlab toolbox, neural network is very comprehensive, Superstar Edition)

掺铒光纤，四能级的matlab功率仿真，凝聚了我的时间和经验。很好的反映了功率随光纤长度变化的关系.(Erbium-doped fiber, the matlab power four-level simulation, the combination of my time and experience. Well reflected the changing power relations with the fiber length.)