代码搜索:coefficient

找到约 3,200 项符合「coefficient」的源代码

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m addcrc.m

function output=addcrc(infor,g) % infor is the input data. % g is the coefficient array of ploy genarator % output is the infor added crc codes % infor = [ 0 0 1 0 1 1 0
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m kingeval.m

% kingeval.m - evaluate King's 3-term sinusoidal current approximation % % Usage: I = kingeval(L,A,z) % % L = antenna length in wavelengths % A = coefficient vector for sinusoidal terms A = [A1]
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m asptrdrlms.m

% [w,y,e]= asptrdrlms(x,w,d,mu,alg) % % Performs filtering and coefficient update using the % Recent Data Reusing Least Mean Squares (RDRLMS) % algorithm. % RDRLMS updates the filter co
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m lpc_h.m

% LPC_H : find the flexsible-order linear prediction coefficients. % Function: lpc_h(sso,order) returns the linear prediction coefficients, % first-order reflection coefficient, energy of
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m vis_updt.m

% Update positions of visualisation nodes function Gcs = Vis_updt(Gcs) d = 0.1; % radius of discs ka=0.1; % attraction constant kr=0.05; % repulsion coefficient kipr = 0;%0.005; % coeff for i
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m lsline.m

function [A,B]=lsline(X,Y) %Input - X is the 1xn abscissa vector % - Y is the 1xn ordinate vector %Output - A is the coeefficient of x in Ax + B % - B is the constant coefficient in Ax +
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m lsline.m

function [A,B]=lsline(X,Y) %Input - X is the 1xn abscissa vector % - Y is the 1xn ordinate vector %Output - A is the coeefficient of x in Ax + B % - B is the constant coefficient in Ax +
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c bp45eric.c

/*BP45ERIC.C-FIR BANDPASS WITH 45 COEFFICIENTS. SAMPLES SHIFTED*/ #include "bp45coef.h" /*include coefficient file */ #define N 45 /*length of impulse response */
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vfb strela.2x2.6-2.vfb

VFB0.17 # # Strela.Order4.2x2.5-3.vfb # # Biorothogonal multiwavelet coefficient matrices, obtained from the # orthogonal Geronimo-Hardin-Massopust multiwavelet by adding and # subtracting one app
www.eeworm.com/read/305204/3779852

c jdmainct.c

#define JPEG_INTERNALS #include "jpeglib.h" /* * In the current system design, the main buffer need never be a full-image * buffer; any full-height buffers will be found inside the coefficient or