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/299923/7820421
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
www.eeworm.com/read/199774/7823277
m program_06_5.m
% Program 6_5
% Transfer Function of Gray-Markel Cascaded
% Lattice Structure from the Lattice and
% Feedforward Parameters
% k is the lattice parameter vector
% alpha is the vector of feedforwar
www.eeworm.com/read/199774/7823324
m program_06_2.m
% Program 6_2
% Parallel Realizations of an IIR Transfer Function
%
num = input('Numerator coefficient vector = ');
den = input('Denominator coefficient vector = ');
[r1,p1,k1] = residuez(num,den
www.eeworm.com/read/199774/7823401
m program_06_4.m
% Program 6_4
% Gray-Markel Cascaded Lattice Structure
% Development
% den is the denominator coefficient vector
% num is the numerator coefficient vector
% k is the lattice parameter vector
% a
www.eeworm.com/read/433867/7905709
m findtemp.m
function [T,x]=findtemp(a)
%a=3.5;
% input variables
%TL=Left hadn boundary condition
%TR=right hand boundary condition
%TA=ambient temperature
%n=number of internal nodes
%ns=number of segme
www.eeworm.com/read/197626/7984178
m lsarma.m
function [a,b,sig2]=lsarma(y,n,m,K)
%
% The two-stage Least-Squares ARMA method
% given in section (3.7.2)
%
% [a,b,sig2]=lsarma(y,n,m,K);
%
% y -> the data vector
% n -> A
www.eeworm.com/read/196830/8055899
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
www.eeworm.com/read/196830/8055940
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
www.eeworm.com/read/196069/8116722
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
www.eeworm.com/read/196069/8116762
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