MIMO-OFDM-matlab-codes

分布傅里叶计算孤子程序，单孤子以及多孤子相互作用均可用次程序(soliton programe)

Three phase high frequency isolated DC-DC converter (published in ELSEVIER)is simulated under symmetrical open loop control. It provides Low voltage conversion ratio, isolation, good regulation with fast dynamic response.

说明：  一种改进的自适应权值立体匹配算法，用于图像处理等(An improved adaptive weight stereo matching algorithm for image processing, etc.)

说明：  MATLAB R2016a完全自学一本通.part1 详细说明请参见part3(MATLAB R2016a Self-taught Book (with its own catalogue))

说明：  MATLAB的基本应用以及一些基本算法的介绍(MATLAB' s basic applications, and introduces some of the basic algorithm)

安捷伦agilent示波器上以bin格式保存的数据文件的matlab读取程序，源自matlabworks论坛(Agilent agilent oscilloscope to bin format to read matlab data file procedures, from matlabworks Forum)

超宽带信号中高斯脉冲和冲击脉冲的产生，以及脉冲位置调制（PPM)和脉冲幅度调制(PAM)，形成一个完整的电路来完成整个过程(UWB signal in the Gaussian pulse and impulse generation, and pulse position modulation (PPM) and pulse amplitude modulation (PAM), to form a complete circuit to complete the whole process)

Power flow studies, commonly known as load flow, form an important part of power system analysis. They are necessary for planning, economic scheduling and control of an existing system as well as planning its future expansion. The problem consists of determining the magnitudes and phase angle of voltages at each bus and active and reactive power flow in each line. In solving power flow problem, the system is assumed to be operating under balanced conditions and a single-phase model is used. Four quantities are assumed at each bus. These are voltage magnitude v, phase angle  , real power P, and reactive power Q.The Newton Raphson method of load flow analysis is an iterative method which approximates the set of non-linear simultaneous equations to a set of linear simultaneous equations using Taylor’s series expansion and the terms are limited to first order approximation.

快速ICA算法，用于盲源信号分离,快速有效(Fast ICA algorithm for blind source separation, quickly and efficiently)

心理声学、头相关传输函数，双耳合成，等等核心函数库(Psychoacoustics, head-related transfer functions, binaural synthesis)