This m file models a UWB system using BPSK with the fifth order derivative of the gaussian pulse with COrrelation receiver and intgrator.
標簽： derivative the gaussian models
上傳時間： 2016-06-28
上傳用戶：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.
標簽： present modalities existence different
上傳時間： 2017-04-03
上傳用戶：qunquan
使用INTEL矢量統計類庫的程序,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
標簽： 61623 and Kurtosis central
上傳時間： 2017-05-14
上傳用戶：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
標簽： accessory functions important learning
上傳時間： 2013-12-19
上傳用戶：妄想演繹師
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
上傳時間： 2017-12-27
上傳用戶：Clocks
基于TMS320F28335的超聲波流量計硬件原理圖+軟件源碼本文以TMS320F28335 處理器為核心，設計一種用于管道流量測量的超聲波流量計。系統硬件由核心板，超聲波發射和接收電路，切換電路，超聲換能器，基于ADS805 的高速信號采集電路，人機交互以及電源等模塊構成。采用時差法進行管道流量測量，時差測量采用SCOT 加權的廣義互相關時延估計算法。本論文設計的超聲波流量計具有測量速度快、準確性好、成本低等優點。關鍵字：C2000，超聲波，流量，廣義互相關算法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
標簽： tms320f28335 超聲波流量計
上傳時間： 2022-05-06
上傳用戶：
