代码搜索：factor
找到约 6,651 项符合「factor」的源代码
代码结果 6,651
www.eeworm.com/read/289743/8530121
m llc.m
function mappedX = llc(X, neighbor, no_dims, R, Z, eig_impl)
%LLC Runs the LLC algorithm (given information on the formed factor analyzers)
%
% mappedX = llc(X, k, no_dims, R, Z, eig_impl)
%
% Runs
www.eeworm.com/read/433114/8544899
m s_exp_scaling.m
function [seismic,aux]=s_exp_scaling(seismic,varargin)
% Function applies an exponential scale factor to each trace of "seismic'.
% s(t) ==> exp(-c*t)*s(t)
%
% Written by: E. R.: January 9, 2004
% Las
www.eeworm.com/read/388457/8607948
m p10_6.m
% Program P10_6
% Illustration of Interpolation Process
%
clf;
L = input('Up-sampling factor = ');
% Generate the input sequence
n = 0:49;
x = sin(2*pi*0.043*n) + sin(2*pi*0.031*n);
% Generate
www.eeworm.com/read/388154/8632026
m start.m
function [N, K,tail ] = start(nCode, ch_mode,I_label,S_label,cols)
%
%
% nCode = spreading factor
% ch_mode = mode indicating the channel coding scheme
% 1 = Convolutional coding with ratio 1/3 a
www.eeworm.com/read/387887/8649393
m p10_6.m
% Program P10_6
% Illustration of Interpolation Process
%
clf;
L = input('Up-sampling factor = ');
% Generate the input sequence
n = 0:49;
x = sin(2*pi*0.043*n) + sin(2*pi*0.031*n);
% Generate
www.eeworm.com/read/429877/8784608
m improv_fac.m
function impr_of_np = improv_fac (np, pfa, pd)
% This function computes the non-coherent integration improvment
% factor using the empirical formula defind in Eq. (2.48)
fact1 = 1.0 + log10( 1.0 /
www.eeworm.com/read/429558/8802963
m fft_filt_2.m
function FI=fft_filt_2(V,FB,sf);
% FI=fft_filt_2(V,FB,sf);
% fft-based filtering
% requires image to be called "V"
% and filters to be in FB
% sf is the subsampling factor
%
% FI is the result
% Jianb
www.eeworm.com/read/282683/9074335
m llc.m
function mappedX = llc(X, neighbor, no_dims, R, Z, eig_impl)
%LLC Runs the LLC algorithm (given information on the formed factor analyzers)
%
% mappedX = llc(X, k, no_dims, R, Z, eig_impl)
%
% Runs
www.eeworm.com/read/184529/9096271
m start.m
function [N, K,tail ] = start(nCode, ch_mode,I_label,S_label,cols)
%
%
% nCode = spreading factor
% ch_mode = mode indicating the channel coding scheme
% 1 = Convolutional coding with ratio 1/3 a
www.eeworm.com/read/381207/9104543
m improv_fac.m
function impr_of_np = improv_fac (np, pfa, pd)
% This function computes the non-coherent integration improvment
% factor using the empirical formula defind in Eq. (2.48)
fact1 = 1.0 + log10( 1.0 /