This m file models a UWB system using BPSK with the fifth order derivative of the gaussian pulse with COrrelation receiver and intgrator.
标签： derivative the gaussian models
上传时间： 2016-06-28
上传用户：xuanjie
The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross COrrelation as metric have also been presented.
标签： present modalities existence different
上传时间： 2017-04-02
上传用户：qunquan
使用INTEL矢量统计类库的程序,包括以下功能: Raw and central moments up to 4th order Kurtosis and Skewness Variation Coefficient Quantiles and Order Statistics Minimum and Maximum Variance-Covariance/COrrelation matrix Pooled/Group Variance-Covariance/COrrelation Matrix and Mean Partial Variance-Covariance/COrrelation matrix Robust Estimators for Variance-Covariance Matrix and Mean in presence of outliers
标签： 61623 and Kurtosis central
上传时间： 2017-05-14
上传用户：yzy6007
After learning to work with images it is important to learn some of the accessory functions OpenCV has to offer. This tutorial will discuss a simple image COrrelation example
标签： accessory functions important learning
上传时间： 2013-12-18
上传用户：妄想演绎师
function [Rs,Ps]=move_corr(X,Y,a) %%%--- this function is for moving COrrelation %%%--- X,Y is the imput data, a is the length of the moving window %%%--- Rs is the spwarman COrrelation coeffcient, Ps is the p_vaue
上传时间： 2017-12-27
上传用户：Clocks
基于TMS320F28335的超声波流量计硬件原理图+软件源码本文以TMS320F28335 处理器为核心，设计一种用于管道流量测量的超声波流量计。系统硬件由核心板，超声波发射和接收电路，切换电路，超声换能器，基于ADS805 的高速信号采集电路，人机交互以及电源等模块构成。采用时差法进行管道流量测量，时差测量采用SCOT 加权的广义互相关时延估计算法。本论文设计的超声波流量计具有测量速度快、准确性好、成本低等优点。关键字：C2000，超声波，流量，广义互相关算法AbstractA kind of ultrasonic flowmeter using for the pipe flow measurement is designed based onTMS320F28335 in this paper. The system hardware consists of the following parts: the core board,ultrasonic signal transmitter and receiver circuits, switch circuit, ultrasonic transducer, signalacquisition circuit based on ADS805, human-computer interaction module and power supplymodule, etc. The system use the method of time difference for pipeline flow measurement and thetime difference is calculated by the time-delay algorithm of SCOT weighted generalizedcross-COrrelation. The ultrasonic flowmeter has the features of high testing speed, high precisionand low cost, etc.Keywords: C2000,Ultrasonic, Flow, Generalized Cross-COrrelation Algorithm
标签： tms320f28335 超声波流量计
上传时间： 2022-05-05
上传用户：yiyewumian
