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/315915/13534910
m bpf.m
function [t,st]=bpf(f,sf,B1,B2)
%This function filter an input at frequency domain by ideal
%bandpass filter inputs
%f:frequency samples
%sf:input data spectrum samples
%B1:bandpass's lower frequ
www.eeworm.com/read/310212/13654791
m chi2conf.m
function c = chi2conf(conf,k);
%CHI2CONF Confidence interval using inverse of chi-square cdf.
% C = CHI2CONF(P,K) is the confidence interval of an unbiased power spectrum
% estimate made up of
www.eeworm.com/read/304082/13801500
m lpcar2db.m
function db=lpcar2db(ar,np)
%LPCAR2DB LPC: Convert AR coefs to power spectrum in dB DB=(AR)
% Copyright (C) Mike Brookes 1998
%
% Last modified Fri Apr 3 14:57:15 1998
%
% VOI
www.eeworm.com/read/304082/13801527
m lpcar2ff.m
function ff=lpcar2ff(ar,np)
%LPCAR2FF LPC: Convert AR coefs to complex spectrum FF=(AR,NP)
% Copyright (C) Mike Brookes 1998
%
% Last modified Tue May 12 15:59:20 1998
%
% VOIC
www.eeworm.com/read/251886/6335721
c configure.c
#include "config.h"
#include
#include "libxmms/configfile.h"
#include "opengl_spectrum.h"
#include "xmms/i18n.h"
static GtkWidget *configure_win = NULL;
static GtkWidget *vbox, *option
www.eeworm.com/read/492937/6414534
m ssa_analysis.m
function SSA=ssa_analysis(data,delay,emb_dim);
% SSA_ANALYSIS provide singular spectrum analysis
% emb_dim - embedding dimension
% example: SSA=ssa_analysis(rand(100,1),1,20);
%
% last modified
www.eeworm.com/read/483253/6601703
m lpcar2db.m
function db=lpcar2db(ar,np)
%LPCAR2DB LPC: Convert AR coefs to power spectrum in dB DB=(AR)
% Copyright (C) Mike Brookes 1998
%
% Last modified Fri Apr 3 14:57:15 1998
%
% VOI
www.eeworm.com/read/483253/6601827
m lpcar2ff.m
function ff=lpcar2ff(ar,np)
%LPCAR2FF LPC: Convert AR coefs to complex spectrum FF=(AR,NP)
% Copyright (C) Mike Brookes 1998
%
% Last modified Tue May 12 15:59:20 1998
%
% VOIC
www.eeworm.com/read/154209/11983542
m chi2conf.m
function c = chi2conf(conf,k);
%CHI2CONF Confidence interval using inverse of chi-square cdf.
% C = CHI2CONF(P,K) is the confidence interval of an unbiased power spectrum
% estimate made up of
www.eeworm.com/read/340319/12166223
m rsgeng.m
function [f,df,ddf,x]=rsgeng(N,rL,h,lc,seed);
%RSGENG generates 1D Gaussian random rough surfaces with Gaussian Spectrum.
%
% [f,df,x]=rsgeng(N,rL,h,lc,seed)
%
% INPUT:
%
% N=total numbe