代码搜索:coefficient
找到约 3,200 项符合「coefficient」的源代码
代码结果 3,200
www.eeworm.com/read/476296/6765180
m olsblms.m
%OLSBLMS Open-Loop Subband LMS algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% N - iterations
% Sx - standard deviation of input
% B - coefficien
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m ctsyshlp.m
function ctsyshlp
% CTSYSHLP Help file for CTSYSGUI
% ADSP Toolbox: Version 2.0
% For use with "Analog and Digital Signal Processing", 2nd Ed.
% Published by PWS Publishing Co.
%
% Ashok Am
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m genh.m
function fadingcoeff=genh(I,v,Dop,tb)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% %
%%
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hxx rowcol.hxx
// ************************
// *** CLASS ROW-COLUMN ***
// ************************
#ifndef rowcol_hxx
#define rowcol_hxx
#include "debug.def"
class FloatArray ; class IntArray ;
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m pctorc.m
% MATLAB SIMULATION OF NSA FS-1016 CELP v3.2
% COPYRIGHT (C) 1995-99 ANDREAS SPANIAS AND TED PAINTER
%
% This Copyright applies only to this particular MATLAB implementation
% of the FS-1016 CELP
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m example5.m
%
% This Matlab script provides an interactive way to reproduce
% Example 5: Confidence interval for the correlation coefficient
% reported in:
% Zoubir, A.M. and Boashash, B. The Bootstrap and
www.eeworm.com/read/172473/9706201
m trisys.m
function X=trisys (A,D,C,B)
%Input - A is the sub diagonal of the coefficient matrix
% - D is the main diagonal of the coefficient matrix
% - C is the super diagonal of the coefficient matr
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m lagran.m
function [C,L]=lagran(X,Y)
%Input - X is a vector that contains a list of abscissas
% - Y is a vector that contains a list of ordinates
%Output - C is a matrix that contains the coefficents of
www.eeworm.com/read/414864/11098668
m cp0704_lse_pulse_combination.m
%
% FUNCTION 7.12 : "cp0704_LSE_pulse_combination"
%
% This function implements the LSE
% selection algorithm described in Section 7.2 for the
% determination of a combination of the first 15 Gau
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m cp0703_random_pulse_combination.m
%
% FUNCTION 7.8 : "cp0703_random_pulse_combination"
%
% This function implements the random selection algorithm
% described in Section 7.2 for the determination of a
% combination of the first 1