代码搜索：Normalized
找到约 4,216 项符合「Normalized」的源代码
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www.eeworm.com/read/420098/10817125
m myrect.m
function w = myrect(x)
% MYRECT Weighting function for SAR spectra (range).
% MYRECT(FR) computes rectangular window for FR (normalized).
%
% This window is defined by:
% rect(x) = 1, ab
www.eeworm.com/read/418126/10964859
m demo1.m
% KSVD running file
% in this file a synthetic test of the K-SVD algorithm is performed. First,
% a random dictionary with normalized columns is being generated, and then
% a set of data signals, e
www.eeworm.com/read/271244/11001882
m faacos.m
function [f,a] = faacos(data, dt)
% The function FAACOS generates an arccosine frequency and amplitude
% of previously normalized data(n,k), where n is the length of the
% time series and k is t
www.eeworm.com/read/458010/7314170
m randiscr.m
function x=randiscr(p,n,a)
%RANDISCR Generate discrete random numbers with specified probabiities [X]=(P,N,A)
%
% Inputs: P vector of probabilities (not necessarily normalized)
% N numbe
www.eeworm.com/read/448350/7534394
m randiscr.m
function x=randiscr(p,n,a)
%RANDISCR Generate discrete random numbers with specified probabiities [X]=(P,N,A)
%
% Inputs: P vector of probabilities (not necessarily normalized)
% N numbe
www.eeworm.com/read/440750/7682153
m randiscr.m
function x=randiscr(p,n,a)
%RANDISCR Generate discrete random numbers with specified probabiities [X]=(P,N,A)
%
% Inputs: P vector of probabilities (not necessarily normalized)
% N numbe
www.eeworm.com/read/399076/7895990
m adaptnlmsdemo.m
%% Linear Prediction Using the NLMS Adaptive Filter
% This demo casts the normalized least mean squares adaptive filter in a linear
% prediction framework. The current sample of a noise corrupted sin
www.eeworm.com/read/197649/7982871
m faacos.m
function [f,a] = faacos(data, dt)
% The function FAACOS generates an arccosine frequency and amplitude
% of previously normalized data(n,k), where n is the length of the
% time series and k is t
www.eeworm.com/read/142092/12962989
m faacos.m
function [f,a] = faacos(data, dt)
% The function FAACOS generates an arccosine frequency and amplitude
% of previously normalized data(n,k), where n is the length of the
% time series and k is t
www.eeworm.com/read/317707/13499261
m monpat.m
% Monopulse Antenna Pattern
% --------------------------
clear,clc,clf;
% Normalized Aperture Width
na=4;
% Sampling Frequeny=Number elements per norm aperture
fs=8;
% Norm aperture wit