suijimoliheshujutongji

Reads TDMS files into Matlab. See TDMS_exampleFunctionCalls.m to get started. Advantages: - supports reading v2 files - doesn t require the NI DLL, thus it doesn t require 32bit windows - supports interleaved data - allows only reading names & properties to get a quick feel for what is in the file - Since streaming files can get large (many GB), allows only retrieving subsets of data via keep or ignore flags Doesn t yet support: - big endian files Doesn t support: - files with DAQmx data - files with unsupported Matlab data types (extended float, etc) I haven t written very many wrappers to change the output data into more traditional formats. I d appreciate any submissions of wrappers that people make (like my TDMS_dataToGroupChanStruct_v1 & v2). Thanks! If the function doesn t work for you please let me know.

数字信号处理的Matlab实现的随书光盘，有时谱分析、小波变化、地震观测系统仿真与地面运动恢复等几个数字信号前沿课题，有实用价值(Digital signal processing with Matlab realized the book CD-ROM, and sometimes spectral analysis, wavelet changes in observing system simulation of earthquake ground motion and the restoration of several cutting-edge digital signal subjects have practical value)

单向晶闸管整流电路仿真模型，可参见电力电子教材(Unidirectional thyristor rectifier circuit simulation model can be found in power electronics textbooks)

利用发动机进气温度、转速等信息通过神经网络模拟得到排气温度等信息(Neural network simulation)

快速中值滤波，在大数据量的情况下速度很快，论文“Median Filter in Constant Time”的C语言实现(C souce code for "Median Filter in Constant Time")

高斯迭代算法基本程序，用于求解矩阵方程，对初学者很有帮助(Gauss iterative algorithm for solving the matrix equation, useful for beginners)

这是一个利用MATLAB6.5进行航迹跟踪的程序序，采用了最小二线性估计的方法来进行跟踪。(This is a track used for tracking MATLAB6.5 procedures sequence, using a minimum of two linear estimation methods for tracking.)

基于相位调制器产生六倍频光毫米波的 OFDM信号光传输系统研究 (A Radio Over Fiber System with Frequency Sextuple Optical Millimeter
Wave Generation Carrying OFDM Signal Utilizing Phase Modulator)

去卷积工具箱，Deconvolution tool box。Deconvolution tool box(Deconvolution tool box)

audio codec, includes LPC,The code was tested on male and female speech files recorded using a microphone on my pc and also tested on the wavefiles of the TIMIT database. The results are found to be good enough. I have attatched 5 sample wavefiles, on which I have tested my code.