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/133638/14032832
m anabpsk.m
function [y,am]=anabpsk(N,Ncomp,f0);
%ANABPSK Binary Phase Shift Keying (BPSK) signal.
% [Y,AM]=ANABPSK(N,NCOMP,F0) returns a succession of complex
% sinusoids of NCOMP points each, with a normalized
www.eeworm.com/read/132819/14072110
m anabpsk.m
function [y,am]=anabpsk(N,Ncomp,f0);
%ANABPSK Binary Phase Shift Keying (BPSK) signal.
% [Y,AM]=ANABPSK(N,NCOMP,F0) returns a succession of complex
% sinusoids of NCOMP points each, with a normalized
www.eeworm.com/read/189512/8466506
c print-urlrefs.c
static char rcsid[] = "$Id: print-urlrefs.c,v 1.1 1999/11/03 21:41:04 golda Exp $";
/*
* print-urlrefs - Reads SOIF and prints normalized URLs from the
* URL-References attribute. Used to extrac
www.eeworm.com/read/287847/8664506
m bercalculationforlinearmultiuserdetector.m
m = 3;
N = 2^m-1; %system processing gain
maxbits = 20000;
maxusers = floor(1.5*N);
S_tot = signature_matrix (m,maxusers); %generate signature matrix.
%S(:,k)=sk normalized to unit energy
www.eeworm.com/read/375438/9360111
m qam64encode_new.m
%64QAM modulation mapping
%N is the number of output symbol
%qam_sig is the output complex QAM signal vector
%the power of qam_sig is normalized to 1 per symbol.
%qam_bit is the output 6-bit vecto
www.eeworm.com/read/375438/9360115
m qam16encode_new.m
%16QAM modulation mapping
%N is the number of output symbol
%qam_sig is the output complex QAM signal vector
%the power of qam_sig is normalized to 1 per symbol.
%qam_bit is the output 4-bit vecto
www.eeworm.com/read/360995/10070111
m dd_ex7.m
% Show how several one-class classifiers can be combined.
% To make the classifier outputs comparable, the outputs should be
% normalized using dd_normc
% Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org
www.eeworm.com/read/270715/11029149
m fade.m
function [iout,qout,ramp,rcos,rsin]=fade(idata,qdata,nsamp,tstp,fd,no,counter,flat)
if fd ~= 0.0
ac0 = sqrt(1.0 ./ (2.0.*(no + 1)));
% power normalized constant(ich)
as0 = sqrt(1.0 ./ (2.0.*no));
www.eeworm.com/read/270715/11029168
asv fade.asv
function [iout,qout,ramp,rcos,rsin]=fade(idata,qdata,nsamp,tstp,fd,no,counter,flat)
if fd ~= 0.0
ac0 = sqrt(1.0 ./ (2.0.*(no + 1)));
% power normalized constant(ich)
as0 = sqrt(1.0 ./ (2.0.*no));
www.eeworm.com/read/451547/7461986
m dd_ex7.m
% Show how several one-class classifiers can be combined.
% To make the classifier outputs comparable, the outputs should be
% normalized using dd_normc
% Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org