CANopen

There are different m files for different filter to use. perwit.m:=uses window Wx=[1 0 -1 1 0 -1 1 0 -1]/3 and Wy=Wx and then convolves this window with the image. sobel.m:=uses window W=[1 0 -1 2 0 -2 1 0 -1]/4 lablacian.m=uses window W=[0 1 0 1 -4 1 0 1 0] convolve.m=convolves window and image

Given gray scale double matrix, M(width,height,frameNum),this function stabilizes the sequence using the Grey-Coded Bit-Plane Matching (GC-BPM) algorithm.(Given gray scale double matrix, M (width, height, frameNum). this function stabilizes the sequence using th Gray e-Coded Bit-Plane Matching (GC-BPM) algo rithm.)

说明：  插值和拟合算法实验源代码，希望给大家带来帮助。(Interpolation and the fitting method experimental source code, hope to bring you help. )

Generate base surface S0(u,v) for the surface B-Spline best fitting algorithm.

mimo 2*2 ,采用BPSK调制，内含ZF，MMSE检测算法。(mimo 2* 2,using BPSK modulation, containing ZF, MMSE 1detection algorithm.)

发射信号接收信号，对调幅中波广播与调幅中波收音机传输系统以及调频立体声发射机与调频立体声接收机进行模拟仿真。(The signal receives signal, and simulates the amplitude modulation medium wave broadcasting and amplitude modulation medium wave radio transmission system, the FM stereo transmitter and the FM stereo receiver.)

TE多模态数据，可用于多模态过程监控，检验算法(TE multimodal data can be used for multimodal process monitoring and verification algorithm)

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

a program which analyzes a 2D fluid flow using the reduced basis method

tcl generator that generate tcl code automaticaly