代码搜索：Normalized
找到约 4,216 项符合「Normalized」的源代码
代码结果 4,216
www.eeworm.com/read/413630/11149249
csv example2_training.csv
// these are data with normalized inputs (centered around zero)
// -0.8 means male; 0.8 means female
SpecimenNumber;Species;FrontalLip;RearWidth;Length;Width;Depth;Sex
41.5;-0.5;5.017;1.6615;10.694
www.eeworm.com/read/200388/15434375
m colorseg.m
%COLORSEG Segment a color image.
%
% seg = colorseg(im, map)
%
% Two windows are displayed, one the bivariant histogram in
% normalized (r,g) coordinates, the other the original image.
%
% For each pi
www.eeworm.com/read/431751/8656078
cc example1.cc
#include
#include
#include
#include
#define VECLEN 1024 // vector length
#define FREQ 0.1 // normalized frequency
void sig_gen (clDS
www.eeworm.com/read/361454/10051247
m genrayleighfading.m
% written by Amir Sarrafzadeh (14Jan2008)
% this function generates normalized rayleigh samples based on Inverse DFT
% method as was proposed by David J. Young, and Norman C. Beaulieu
% "The Gener
www.eeworm.com/read/359212/10161210
m inormhist.m
%NORMHIST Histogram normalization
%
% n = NORMHIST(image)
%
% Returns a histogram normalized image. Assumes that pixels lie in the
% range 0-255.
%
% SEE ALSO: ihist
%
% Copyright (c) Peter Corke, 19
www.eeworm.com/read/357506/10208341
m program_13_9.m
% Program 13_9
% IIR Lowpass Half-band Filter Design
close all; clear all;
% Enter filter stopband specifications
ws = input('Normalized stopband angular frequency = ');
w
www.eeworm.com/read/160223/10555826
m nlms_demo.m
% Normalized LMS Algorithm
randn('seed', 0) ;
rand('seed', 0) ;
NoOfData = 8000 ; % Set no of data points used for training
Order = 32 ; % Set the adaptive filter order
Mu = 1.0 ; % Set the step
www.eeworm.com/read/416230/11037412
m program_13_9.m
% Program 13_9
% IIR Lowpass Half-band Filter Design
close all; clear all;
% Enter filter stopband specifications
ws = input('Normalized stopband angular frequency = ');
w
www.eeworm.com/read/450795/7476784
m genrayleighfading.m
% written by Amir Sarrafzadeh (14Jan2008)
% this function generates normalized rayleigh samples based on Inverse DFT
% method as was proposed by David J. Young, and Norman C. Beaulieu
% "The Gener
www.eeworm.com/read/449504/7502905
m make_nnw.m
function W = make_nnw(xc,yc,m,order)
% PURPOSE: finds the n nearest neighbors and constructs a spatial weight matrix
% based on this # of neighbors, normalized to have row-sums of unity
% --