polynomial+smoothing 源代码

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源码文件

function tfrparam(method); %TFRPARAM Return the paramaters needed to display (or save) this TFR. % TFRPARAM(METHOD) returns on the…

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%IGAUSS Gaussian smoothing kernel % % M = IGAUSS(W, SIGMA) % % Returns a W x W matrix with a unit amplitude Gaussian function of %…

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/* * jbsmooth.c * * Copyright (C) 1991, 1992, Thomas G. Lane. * This file is part of the Independent JPEG Group's software…

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%PARZENC Optimisation of the Parzen classifier % % [W,H] = PARZENC(A) % W = PARZENC(A,H,FID) % % INPUT % A dataset % H …

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%PARZENML Optimum smoothing parameter in Parzen density estimation. % % H = PARZENML(A,FID) % % INPUT % A input dataset …

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%PARZENDC Parzen density based classifier % % [W,H] = PARZENDC(A) % W = PARZENDC(A,H) % % INPUT % A Dataset % H Smoo…

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%GENDATP Parzen density data generation % % B = GENDATP(A,N,S,G) % % INPUT % A Dataset % N Number(s) of points to be gen…

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function tfrparam(method); %TFRPARAM Return the paramaters needed to display (or save) this TFR. % TFRPARAM(METHOD) returns on the…

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function [P,f,w,tw] = smooth_spectrum(d,dt,L,io); %SMOOTH_SPECTRUM: Power spectrum estimate by smoothing the periodogram. % …

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function [P,f,w,tw] = smooth_spectrum(d,dt,L,io); %SMOOTH_SPECTRUM: Power spectrum estimate by smoothing the periodogram. % …