代码搜索：zero
找到约 10,000 项符合「zero」的源代码
代码结果 10,000
www.eeworm.com/read/424063/10502367
m gfpretty.m
function gfpretty(a,b,n)
%GFPRETTY Pretty display of a GF(P) polynomial.
% BFPRETTY(A) prints GF(P) polynomial in a traditional polynomial
% format. All zero coefficient terms are elimi
www.eeworm.com/read/160583/10516779
py matshow.py
#!/usr/bin/env python
"""Simple matshow() example."""
from matplotlib.pylab import *
def samplemat(dims):
"""Make a matrix with all zeros and increasing elements on the diagonal"""
aa = zero
www.eeworm.com/read/159601/10636598
m deltax.m
function y=deltax(x);
%
% DELTAX(X)
%
% Function to return the difference between
% successive row elements of an array. First
% element of result array is zero.
%
% Differs from MATLAB sup
www.eeworm.com/read/159601/10636676
m da_pcr.m
%
% mv_pcr
%
% Principal Component Regression entry point
%
%
% Clear the screen
%
da_front;
drawnow;
clear impact py vy;
%
% Make sure that none of the variables have a zero
% stan
www.eeworm.com/read/159601/10636832
m da_lsqs.m
%
% da_lsqs
%
% Least squares regression entry point
%
%
% Clear the screen
%
da_front;
drawnow;
%
% Make sure that none of the variables have a zero
% standard deviation
%
s=std(dat
www.eeworm.com/read/349916/10783317
m deltax.m
function y=deltax(x);
%
% DELTAX(X)
%
% Function to return the difference between
% successive row elements of an array. First
% element of result array is zero.
%
% Differs from MATLAB sup
www.eeworm.com/read/349916/10783372
m da_pcr.m
%
% mv_pcr
%
% Principal Component Regression entry point
%
%
% Clear the screen
%
da_front;
drawnow;
clear impact py vy;
%
% Make sure that none of the variables have a zero
% stan
www.eeworm.com/read/349916/10783483
m da_lsqs.m
%
% da_lsqs
%
% Least squares regression entry point
%
%
% Clear the screen
%
da_front;
drawnow;
%
% Make sure that none of the variables have a zero
% standard deviation
%
s=std(dat
www.eeworm.com/read/274792/10852212
m cyclic_cumulants_fast.m
function [m,v,s,k]=cyclic_cumulants_fast(x,T)
%
% CYCLIC_CUMULANTS_FAST
% calculate synchronously averaged zero lag cumulants
% up to fourth order
%
% USGAE
%
www.eeworm.com/read/271244/11001902
m zfaanls.m
function [f, stdf , a, rmsa] = zfaanls(datay, deltat)
% The function ZFAANLS generates a frequency and amplitude using a zero-crossing
% method applied to datay(k,n),
% where k is number of IMFs,