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/431224/8698007
m fm_about.m
function fig = fm_about(varargin)
% FM_ABOUT display information about the current
% PSAT version
%
% FM_ABOUT()
%
%Author: Federico Milano
%Date: 11-Nov-2002
%Update: 10-Feb-2003
%
www.eeworm.com/read/431224/8698128
m fm_busfig.m
function h1 = fm_busfig(varargin)
% FM_BUSFIG graphical user interface for custom bus selections
%
%see also the function FM_EQUIV and FM_EQUIVFIG
%
%Author: Federico Milano
%Update: 02-Apr-2008
www.eeworm.com/read/431224/8698551
m fm_linelist.m
function fig = fm_linelist()
% FM_LINELIST create GUI for plotted variable lines
%
% HDL = FM_LINELIST()
%
% This function is generally called by a callback within FM_PLOTFIG
%
%Author: Federico Mi
www.eeworm.com/read/431224/8698635
m fm_matrx.m
function fig = fm_matrx()
% FM_MATRX create GUI for matrix visualizations
%
% HDL = FM_MATRX()
%
%Author: Federico Milano
%Date: 11-Nov-2002
%Version: 1.0.0
%
%E-mail: Federico.Milano@ucl
www.eeworm.com/read/431224/8698979
m fm_sset.m
function fig = fm_sset()
% FM_SSET create GUI for UDM service variable settings
%
% HDL = FM_SSET()
%
%Author: Federico Milano
%Date: 11-Nov-2002
%Version: 1.0.0
%
%E-mail: Federico.Milan
www.eeworm.com/read/430888/8719864
m clust_denormalize.m
function data = clust_denormalize(data)
% method description
% 'var' denormalization from a data whitch variation was normalized to one (linear operation).
% 'range' denormaliza
www.eeworm.com/read/429877/8784390
m fig3_8_v1.m
clear all
bw = 10.0;
f0 = 10.;
tau = 30.0e-3;
mu = bw / tau;
n=0;
fs = 2.5*bw;
for t = -1.25:.1/fs:1.25
n = n+1;
y(n) = exp(i * .5 * mu * t^2);
end
yfft= fftshift(fft(y,1024));
freq=
www.eeworm.com/read/429877/8784698
m fig1_23.m
% Use this program to reproduce Fig. 1.23
clear all
close all
x = linspace(-2*pi,2*pi, 200);
y = sinc(x);
y = y ./ (max(y));
figure (1)
plot(x, 20*log10(abs(y)));
grid
axis tight
xlabel('Ang
www.eeworm.com/read/385744/8791051
m lab_16.m
function lab_16(action)
%LAB_16 交互式数字信号处理演示实验
%自适应信号滤波
%
%实验目的：
%利用自适应LMS算法实现FIR最佳维纳滤波器
%观察影响自适应LMS算法收敛性、收敛速度以及失调量的各种因素，
%领会自适应信号处理方法的优缺点
%实现AR模型参数的自适应估计，了解自适应信号处理方法的应用
% possib ...
www.eeworm.com/read/285822/8815719
c mpsplot.c
#include
#include
#include
#include "msp.h"
void mpsplot(float psdr[],float psdi[],int mfre,float ts)
{
/*----------------------------------------------------------