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/215497/15059555
m program_8_4.m
% Program 8_4
% Cascaded Lattice Realization of an
% Allpass Transfer Function
%
format long
den = input('Denominator coefficient vector = ');
k = poly2rc(den);
knew = fliplr(k);
disp('The lat
www.eeworm.com/read/215497/15059773
m program_8_1.m
% Program 8_1
% Factorization of a Rational FIR Transfer Function
%
format long
num = input('Filter coefficient vector = ');
Numfactors = factorize(num);
disp('Factors'),disp(Numfactors)
www.eeworm.com/read/215497/15059776
m program_8_4.m
% Program 8_4
% Cascaded Lattice Realization of an
% Allpass Transfer Function
%
format long
den = input('Denominator coefficient vector = ');
k = poly2rc(den);
knew = fliplr(k);
disp('The lat
www.eeworm.com/read/114250/15062892
h polynn.h
#ifndef POLYN_H
#define POLYN_H
//多项式类。未用有序表实现。
#include
#include
#include "linklist.h"
class term //项类
{
public:
term(int c=0,int p=0);
term(c
www.eeworm.com/read/214909/15083946
m chap9_5i.m
%Three Loop of Flight Simulator Servo System with Direct Current Motor
clear all;
close all;
%(1)Current loop
L=0.001; %L
www.eeworm.com/read/214740/15090218
m coef2b.m
function [b]=coef2b(coefs,thsize);
%
% [b]=coef2b(coefs,thsize);
%
% Converts a coefficient string into a bias
% vector
%
% b = returned bias vector
% coefs = coefficient string
% thsize = nu
www.eeworm.com/read/213502/15133116
m feode2l.m
function [k]=feode2l(acoef,bcoef,ccoef,eleng)
%-------------------------------------------------------------------
% Purpose:
% element matrix for (a u'' + b u' + c u)
% using linear el
www.eeworm.com/read/212828/15148369
c 3-1.c
#include "stdio.h"
#define MAX_TERMS 100 /* size of terms array */
typedef struct {
float coef;
int expon;
} polynomial;
polynomial terms[ MAX_TERMS];
int avail = 0;
int COMPARE(int
www.eeworm.com/read/212314/15159957
m plotbpls.m
function [BSelect] = PlotBPLS(BestMLK, LV, PlotMode);
%
% Plot PLS B coefficient based on a known model
BSelect=BestMLK.BCoeff;
if (PlotMode ~= 0)
plot(BSelect);
end
www.eeworm.com/read/212047/15167968
todo
The following would also be nice additions to the multifit function suite
(see MS Excel regression output for example):
1. Produce the correlation coefficient (r) and other statistics.
2. Allow fit v