代码搜索：Bandwidth
找到约 1,693 项符合「Bandwidth」的源代码
代码结果 1,693
www.eeworm.com/read/304082/13801569
m lpcrand.m
function ar=lpcrand(p,n,bw)
% generate n random stable polynomials of order p with a minimum pole
% bandwidth of bw*fs where fs is the sampling fequency.
% To limit the pole radius to r set bw=-log
www.eeworm.com/read/147422/5729327
m fine_tune.m
%
% Fine tune the first formant frequency and bandwidth
% to match the inverse filter transfer function to the spectrum
% of pre-emphasized speech.
% Author : Minkyu Lee
% Date : 2-Nov-1994
%
f
www.eeworm.com/read/147422/5729955
m fbana3.m
% Function: perform third stage of the Formant Based Linear Prediction Analysis
% ==> allocate the formants
function [FF,FB,Froot]=fbana3(signal,basic,cofa,voicetype,nframe);
%retrie
www.eeworm.com/read/492612/6416452
m gaborfilter.m
%upload on 26-05-09. To contact author, Dr Wang Jun, please drop you
%message at wangjun5100@hotmail.com
function[h]=gaborfilter(U,V)
F=sqrt(U^2+V^2);
A=atan2(V,U);
a=sqrt(log(2)/2);
j=sq
www.eeworm.com/read/491236/6437981
m range_red_factori.m
% Use this input file to reproduce Fig.s 8.5 through 8.7
clear all
te = 730.0; % radar effective tem in Kelvin
pj = 15; % jammer peak power in W
gj = 3.0; % jammer antenna gain in dB
g =
www.eeworm.com/read/489524/6472639
m range_red_factori.m
% Use this input file to reproduce Fig.s 8.5 through 8.7
clear all
te = 500.0; % radar effective tem in Kelvin
pj = 500; % jammer peak power in W
gj = 3.0; % jammer antenna gain in dB
g =
www.eeworm.com/read/487451/6513557
m meanshiftcluster.m
function [clustCent,data2cluster,cluster2dataCell] = MeanShiftCluster(dataPts,bandWidth,plotFlag);
%perform MeanShift Clustering of data using a flat kernel
%
% ---INPUT---
% dataPts - i
www.eeworm.com/read/483253/6601812
m lpcrand.m
function ar=lpcrand(p,n,bw)
% generate n random stable polynomials of order p with a minimum pole
% bandwidth of bw*fs where fs is the sampling fequency.
% To limit the pole radius to r set bw=-log
www.eeworm.com/read/480200/6668052
m covar.m
function cov = covar(dens,noBiasFlag)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% covar(dens [,noBiasFlag]) -- returns the variance of a given KDE
%
% if noBi
www.eeworm.com/read/480200/6668057
m reduce.m
function [q,o2,o3] = reduce(p,type,varargin)
%
% q = reduce(p,'type',[options]) -- "Reduce" a KDE, so that it requires fewer
% kernels but has similar representative power (better than just resamp