Matlab distance between two vectors

    • [DOC File]The MATLAB Notebook v1.5.2 - University Of Maryland

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      where v and a are column vectors of length n, and A is an nxn matrix. In particular, an affine transformation for which the matrix A is orthogonal is called a rigid motion. We say two subsets of Rn are congruent if there is a rigid motion that maps one set onto the other. We note that . FA,a(FB,b(v))=ABv + (Ab+a)=FAB,Ab+a(v),

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    • [DOC File]Motion Detector: Pixel based and Histogram based

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      Store the Euclidean distance between the histogram counts of the two consecutive images. The Euclidean distance is computed using ‘norm’ function. Plot the vector of distances. All distances above threshold (say values above 70% of max distance) indicate the frames where motion occurred. Local threshold can applied using the concept of window.

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    • [DOCX File]Matlab Introduction - University of Delaware

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      Create two arrays (vectors) of numbers (note the lack of commas between elements in your array, which is different from python): >> ls=[8 4 2 9 0 7 12 3 22 11 1 5]; Note: you don’t need the commas in lists (vectors) in Matlab.

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    • [DOC File]The MATLAB Notebook v1.5.2

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      1. In this problem you will find the distance from point P4 to the plane of Example 1 in two different ways: By using the method of Section 11.6 of Gulick and Ellis, performing the calculations with MATLAB. By finding the foot of the perpendicular from P4 to the plane as follows: Parametrize the line through P4 normal to the plane.

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    • [DOCX File]INTRODUCTION - Computer Action Team

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      vectors. The input layer receives the key vectors and response vectors. Response vectors . are the outputs of the . key vectors. The memory layer classifies the vectors into separate classes based on the similarity of the vectors falling within a threshold limit. The similarity between two vectors is measured through a distance calculation ...

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    • [DOC File]THE HONG KONG POLYTECHNIC UNIVERSITY

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      The output functions are the linear combination of these radial basis functions. A more general form of the RBF networks is the elliptical basis function (EBF) networks where the hidden neurons compute the Mahalanobis distance between the centres and the input vectors.

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    • [DOC File]MATLAB - GMU College of Science

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      % Calculates distance between any two position vectors a and b. d=b-a; dd=d*d’; dist_ab=sqrt(dd) Save these contents in a file named dist_ab.m and note that the script file has a ‘.m’ extension which denotes that it is a MATLAB file. Now one can pick values for the vectors a and b by simply typing say, >> a=[1 2 3]; >> b=[5 5 3];

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    • [DOCX File]INTRODUCTION - Auburn University

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      For a given set of test vectors, power consumed during testing is related to the number of bits that change between each applied vector (a.k.a. Hamming distance). The amount of power consumed can thus be minimized if the test vectors are reordered in a way that minimizes the total Hamming distance.

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    • [DOC File]An explanation of the functions I have written in Matlab

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      Distance between two points. The function F(a,b) takes two vectors representing coordinates and calculates the difference between them. This is done by finding the vector ab=(b-a) and multiplying it by its transpose. The code is given below: function out = …

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    • [DOC File]EXERCISE 2-1

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      1) Two sets of two-dimensional position vectors, p (i) and . q (i), are used to digitize the contact between the Mancos Shale and the igneous rock of the northeastern dike at Ship Rock with . p (i) locating the northwestern side of the dike and . q (i) the southeastern side (Fig. 2.5b).

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