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Armadillo matrix computation library
4.0
Armadillo is an open source matrix computation library, this library is to the underlying matrix computation library (for example BLAS,LAPACK) package, this library will be in line with the underlying open source library to use, for example, the most basic BLAS+LAPACK or improved OpenBLAS,ACML powerful MKL. Armadillo's speed is primarily determined by the underlying libraries, code used are very, very simple, basic and MATLAB code doesn't make any difference,
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Speech recognition based on MATLAB
no vote
Recognize more than a dozen English words using DTW algorithm, if you want to recognize Chinese, you can extract MFCC replacement template program, many subroutines, short point detection, DTW, and so on, you can refer to the design of your own speech recognition system 1
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Drawing with mouse in MATLAB
no vote
The program can respond to the mouse down, move, pop-up events, draw the mouse track by pressing the left mouse button and moving, select the mark and color of drawing through two pop-up menu controls, record the current mouse coordinates (x, y) with edit, and the display color is consistent with the drawing color. Let's not talk about the rest. Just look at the running effect.
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Fisherface face-recognition program
4.0
Program to use PCA's dimensions, then using LDA to find optimal projection vector. Test in ORL, study the effect of size on the rate of recognition of different training samples, and look for the best projection dimension of final output rate. Main.m is the main function, please discuss ~ Results: Programs run began ... ... ... ... ... ... ... Each type of training samples: 3 Optimum projection dimension: 38 FisherFace rate: 88.93% Running time: 15.33s Each class the number of training samples is: 4 Optimum projection dimension: 29 FisherFace rate: 93.75% Running time: 34.36s Each class the number of training samples is: 5 Optimum projection dimension: 24 FisherFace rate: 94.5% Running time: 57.13s Each class the number of training samples is: 6 Optimum projection dimension: 27 FisherFace rate: 97.5% Running time: 85.27s Each class t
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Matlab on watershed algorithm and improved watersh
3.0
Watershed algorithm and improved watershed algorithm for image segmentation of ... ...
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K-means clustering
no vote
K-means clustering algorithm algorithm is hard, is a typical representative of the objective function cluster method based on prototype, it is a data point to a certain distance as the objective function of optimization of prototypes, using function extremum method, iterative adjustment rules. K-means clustering algorithm based on Euclidean distance as the similarity measure, it is a prayer that corresponds to a given vector v the initial cluster centers optimal classification makes j evaluation indicators the minimum. As clustering algorithm uses squared error criterion function criterion function. Implement the k-means algorithm yourself without MATLAB's that algorithm can cluster analysis. Purpose to share with you!
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GUI card identification
no vote
A GUI card recognition system, a simple structure. Procedure using Hough transform and the Sobel edge detection technology to target card extraction Ostu algorithm to binary card is used to extract the target symbol By means of projection and template matching
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Two plane-wave expansion program
no vote
Two plane-wave expansion program, a two-dimensional structure. The two plane wave expansion program, the calculation of two-dimensional structure. Description: two plane-wave expansion program. Program to run about 5 minutes
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Irradiation of TM/TE analytical solution of infini
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TM/TE irradiation of infinite conductor, dielectric analysis solution of MATLAB program.
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TML method for solving the one-dimensional diffusi
no vote
Transmission line matrix method is a method based on time-domain, there are many structures of cavity for many applications (aircraft electromagnetic compatibility) According to the topology of electromagnetic coupling analysis, first question classification: diffusion equation, wave equation.
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