代码搜索：Spectrum
找到约 5,196 项符合「Spectrum」的源代码
代码结果 5,196
www.eeworm.com/read/162867/10262521
m specestim.m
%SPECESTIM Frequency spectrum estimation.
% [Sx, Sn, Sh] = SPECESTIM(X, N, H, NN) returns the frequency
% spectrum of the transmitted data in Sx, the channel noise
% in Sn and the magnitude square fre
www.eeworm.com/read/160490/10526988
m cp0703_random_pulse_combinati.m
%
% FUNCTION 7.8 : "cp0703_random_pulse_combination"
%
% This function implements the random selection algorithm
% described in Section 7.2 for the determination of a
% combination of the first 1
www.eeworm.com/read/419304/10876206
m shownew.m
function[spect2,f2]=shownew(b,a,n)
%function[spect2,f2]=shownew(b,a,n)
% This function computes the "spectrum" (i.e., the squared
% amplitude of the frequency response function) of a stocha
www.eeworm.com/read/274028/10890833
java inplace_haar.java
package wavelets;
import wavelet_util.*;
/**
*
Copyright and Use
You may use this source code without limitation and without
fee as long as you include:
www.eeworm.com/read/271244/11002013
m cnstm.m
function z=cnstm(p,nf1,nf2,nn)
%
% z=cnstm(p,nf1,nf2,nn):
%
% Function to construct a matrix of constant horizontal value.
%
% Input-
% p - vector p(nf2), representing the power spectrum
% nf1
www.eeworm.com/read/271244/11002188
m nspt.m
function [h,xs,w] = nspt(data,nyy,t0,t1)
%
% [nt,t,p]=nspt(data,ny,t0,t1): Hilbert spectrum of the SMF-components data(n,k).
% ny: the frequency resolution.
% t0: the true strat time.
www.eeworm.com/read/271244/11002190
m hsp.m
function [h,xs,w] = hsp(data,nyy,t0,t1)
%
% [nt,t,TT]=hsp(data,ny,t0,t1): Hilbert spectrum of the SMF-components data(n,k).
% ny: the period resolution.
% t0: the true strat time.
%
www.eeworm.com/read/467759/7000721
m lpcar2pf.m
function pf=lpcar2pf(ar,np)
%LPCAR2PF Convert AR coefs to power spectrum PF=(AR,NP)
% the power spectrum will contain np+2 points ranging from Dc to nyquist frequency
% The routine is faster if NP+
www.eeworm.com/read/236873/7119085
m lpcar2pf.m
function pf=lpcar2pf(ar,np)
%LPCAR2PF Convert AR coefs to power spectrum PF=(AR,NP)
% the power spectrum will contain np+2 points ranging from Dc to nyquist frequency
% The routine is faster if NP+
www.eeworm.com/read/455490/7370748
m ps_space.m
function out=ps_space(spec,f,dx,v,dz)
%out=ps_space(spec,f,dx,v,dz)
%
%This function extrapolates an input Fourier spectrum through dz
%by space domain phase screen.
%
%out...x-w spectrum of ext