代码搜索:coefficient

找到约 3,200 项符合「coefficient」的源代码

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m program_8_5.m

% Program 8_5 % Realization of Gray-Markel Cascaded Lattice Structure % % den is the denominator coefficient vector % num is the numerator coefficient vector % k is the lattice parameter vector
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m program_8_6.m

% Program 8_6 % Transfer Function of Gray-Markel Cascaded % Lattice Structure from the Lattice and % Feedforward Parameters % k1 is the lattice parameter vector % alpha is the vector of feedforwa
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m program_8_3.m

% Program 8_3 % Parallel Realizations of an IIR Transfer Function % num = input('Numerator coefficient vector = '); den = input('Denominator coefficient vector = '); [r1,p1,k1] = residuez(num,den
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m lms.m

function [h,y] = lms(x,d,delta,N) % LMS Algorithm for Coefficient Adjustment % ---------------------------------------- % [h,y] = lms(x,d,delta,N) % h = estimated FIR filter % y = output
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m casfiltr.m

function y = casfiltr(b0,B,A,x); % CASCADE form realization of IIR and FIR filters % ----------------------------------------------- % y = casfiltr(b0,B,A,x); % y = output sequence % b0 = gain c
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m rctoac.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 autohf.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 rctoac.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 autohf.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 dominantpass.m

function [D,X,sublist] = dominantpass(X,threshold,sublist) % Dominant pass function D=[]; global N; [m,n]=size(X); % X is the coefficients matrix R=zeros(m); % matrix R is a reference matrix, same s