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/367152/9779903
m findw.m
% findw - Compute weights for llr
%
% [nx,icnx,w,ix] = findw(x,cx,para)
%
% _____OUTPUTS____________________________________________________________
% nx normalized/centered x's, (row vector)
% i
www.eeworm.com/read/200388/15434353
m trainseg.m
%TRAINSEG Interactively train a color segmentation
%
% map = trainseg(im)
%
% Two windows are displayed, one the bivariant histogram in
% normalized (r,g) coordinates, the other the original image.
%
www.eeworm.com/read/106690/15626580
m textsc.m
% textsc() - places text in screen coordinates and places
% a title at the top of the figure.
%
% Usage:
% H = textsc(X,Y,TXT) places the text string, TXT
% at the normalized coordinate
www.eeworm.com/read/461473/7226910
m jieduan.m
%jieduan1.m 演示对直流信号进行截断后，信号频谱的变化，
% 在演示程序中，图形的计算是由已知的时域和频域表达式计算
clf reset
set(gcf,'unit','normalized','position',[0.1,0.2,0.5,0.5]);
set(gcf,'defaultuicontrolunits','normalized');
h_axes1=axes(
www.eeworm.com/read/314196/13571811
m jieduan.m
%jieduan1.m 演示对直流信号进行截断后，信号频谱的变化，
% 在演示程序中，图形的计算是由已知的时域和频域表达式计算
clf reset
set(gcf,'unit','normalized','position',[0.1,0.2,0.5,0.5]);
set(gcf,'defaultuicontrolunits','normalized');
h_axes1=axes(
www.eeworm.com/read/303045/13823310
m jieduan.m
%jieduan1.m 演示对直流信号进行截断后，信号频谱的变化，
% 在演示程序中，图形的计算是由已知的时域和频域表达式计算
clf reset
set(gcf,'unit','normalized','position',[0.1,0.2,0.5,0.5]);
set(gcf,'defaultuicontrolunits','normalized');
h_axes1=axes(
www.eeworm.com/read/264066/11331039
m jieduan.m
%jieduan1.m 演示对直流信号进行截断后，信号频谱的变化，
% 在演示程序中，图形的计算是由已知的时域和频域表达式计算
clf reset
set(gcf,'unit','normalized','position',[0.1,0.2,0.5,0.5]);
set(gcf,'defaultuicontrolunits','normalized');
h_axes1=axes(
www.eeworm.com/read/428539/8860792
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/283135/9040673
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/365319/9869845
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