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/341517/12080231

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/152680/12093830

m chap9_2f.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/152406/12116716

m binomialxfrmrbw.m

% BINOMIALXFRMRBW Calculate the bandwidth of a binomial transformer % % [BW] = BINOMIALXFRMRBW (Zl, Z0, N, GammaM) calcultaes the relative bandwidth % of an N section binomial trans
www.eeworm.com/read/254742/12121231

m program_12_3.m

% Program 12_3 % Coefficient Quantization Effects on the % Frequency Response of a Direct Form FIR Filter % fpts = [0 0.5 0.55 1]; mag = [1 1 0 0]; b = remez(39,fpts,mag); [h,w] = freqz(b,1,512)
www.eeworm.com/read/254742/12121244

m program_12_7.m

% Program 12_7 % Granular Limit Cycles in First-Order IIR Filter % clf; alpha = input('Type in the filter coefficient = '); yi = input('Type in the initial condition = '); x = input('Type in the
www.eeworm.com/read/254742/12121271

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/254742/12121275

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/254415/12139072

res osr.res

******OPTIMAL SUBSET REGRESSION****** MEANS OF X AND Y 132.35 162.77 116.09 78.7711541.70 61.63 1ORDER REGRESSION SET
www.eeworm.com/read/339991/12188626

m binomial.m

function b = binomial(n,k) %BINOMIAL compute binomial coefficient % % Usage: b = binomial(n,k) % % Parameters: ( n ) % b = ( ) % ( k ) % % Author: Steve Gunn (sr
www.eeworm.com/read/339987/12188995

m compress.m

function [c, err] = compress(a, ratio) % COMPRESS Compress an array % % [c, err] = compress(a, ratio) % % The "compression" is achieved by zero-out 100*ratio percent of array % element with smal