代码搜索:Approximation

找到约 1,542 项符合「Approximation」的源代码

代码结果 1,542
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m gmm_derivative.m

function J = gmm_derivative(g, s, numerical) %function J = gmm_derivative(g, s, numerical) % % INPUTS: % g - gmm % s - set of N samples from the domain of g % numerical - if 1 then compute
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m impls_fn.m

% A function generating a rectangular approximation for % the unit impulse function; width is delta % function imp = impls_fn(t, delta) imp = zeros(size(t)); imp = (stp_fn(t+delta/2)-stp_fn(t-delta/2)
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m sim_ber.m

%Bit Error rates with pulse shaping consideration %Based on the following works % H. H. Nguyen and E. Shwedyk, "On error probabilities of DS-CDMA systems with arbitrary chip waveforms," Communicatio
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m mieab_2.m

function result = Mieab_2(m, x) % Low-frequency approximation of Mie Coeffs. a_n(z), b_n(z), order n=1,2 % complex refractive index m=m'+im", and size parameter x=k0*a
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m gmm_derivative.m

function J = gmm_derivative(g, s, numerical) %function J = gmm_derivative(g, s, numerical) % % INPUTS: % g - gmm % s - set of N samples from the domain of g % numerical - if 1 then compute
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m sim_ber.m

%Bit Error rates with pulse shaping consideration %Based on the following works % H. H. Nguyen and E. Shwedyk, "On error probabilities of DS-CDMA systems with arbitrary chip waveforms," Communicatio
www.eeworm.com/read/136697/13365366

m fuz_inv.m

function f = fuz_inv(f1) % f=fuz_inv(f1) % % Inversion of a (LR-) fuzzy intervalls (number). % (approximation) % % f = [xmin xmax m n alpha beta] % = [xmin xmax 1/m2,1/m1,beta/(m2(m2+beta)),alpha/
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m fuz_exp.m

function f = fuz_exp(f1) % f=fuz_exp(f1) % % Exponential function of a (LR-) fuzzy intervalls (number). % (approximation) % % f = f1 = [xmin xmax m n alpha beta] % = [xmin xmax e^m e^n e^m(1-e^-a
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hpp asinh.hpp

// boost asinh.hpp header file // (C) Copyright Eric Ford & Hubert Holin 2001. // Distributed under the Boost Software License, Version 1.0. (See // accompanying file LICENSE_1_0.txt or copy at
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m impls_fn.m

% A function generating a rectangular approximation for % the unit impulse function; width is delta % function imp = impls_fn(t, delta) imp = zeros(size(t)); imp = (stp_fn(t+delta/2)-stp_fn(t-delta/2)