代码搜索：如何学习 cutoff？
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www.eeworm.com/read/477435/6735259
txt readme.txt
2005年 第7期第 90 页
稿件名称：使用asp.net时如何解决缓存问题
稿件作者：李英杰
程序名称：Webshiyan
运行环境：Win XP；ASP.NET
注意事项：
www.eeworm.com/read/151583/12193724
txt 7156.txt
日月光华 -- Health精华区文章阅读
--------------------------------------------------------------------------------
发信人: redpower (泡泡龙), 信区: Health
标 题: 如何选用止咳药
发信站: 日月光华 (2002年06月26日10:25:58 星期三), 站内信件
如
www.eeworm.com/read/202248/15388087
txt re [讨论]该如何提高英语听力啊＃eml.txt
From: [精 选 集].bbs@bupt.org
To: caozihua.bbs@bupt.org
Subject: Re: [讨论]该如何提高英语听力啊＃
www.eeworm.com/read/381363/9096118
hlp binary_image.hlp
Binary Image
Transform the image (matrix I) in a binary image using the Matlab
function im2bw.
Radio buttons allow to select the cutoff level for the binary
trasformation.
- Mean: All the
www.eeworm.com/read/371255/9559134
m lowpassfilter.m
% LOWPASSFILTER - Constructs a low-pass butterworth filter.
%
% usage: f = lowpassfilter(sze, cutoff, n)
%
% where: sze is a two element vector specifying the size of filter
% to co
www.eeworm.com/read/371255/9559137
m highboostfilter.m
% HIGHBOOSTFILTER - Constructs a high-boost Butterworth filter.
%
% usage: f = highboostfilter(sze, cutoff, n, boost)
%
% where: sze is a two element vector specifying the size of filter
%
www.eeworm.com/read/371255/9559149
m bandpassfilter.m
% BANDPASSFILTER - Constructs a band-pass butterworth filter
%
% usage: f = bandpassfilter(sze, cutin, cutoff, n)
%
% where: sze is a two element vector specifying the size of filter
%
www.eeworm.com/read/424222/10479338
m discretize.m
function y = discretize(f, cutoff)
sze = size(f);
for i = 1:sze(1)
for k = 1:sze(2)
if (f(i,k) > cutoff)
z(i,k) = 1;
else
z(i,k) = 0;
end
end
end
www.eeworm.com/read/455115/7377672
m lowpassfilter.m
% LOWPASSFILTER - Constructs a low-pass butterworth filter.
%
% usage: f = lowpassfilter(sze, cutoff, n)
%
% where: sze is a two element vector specifying the size of filter
% to co
www.eeworm.com/read/455115/7377673
m highboostfilter.m
% HIGHBOOSTFILTER - Constructs a high-boost Butterworth filter.
%
% usage: f = highboostfilter(sze, cutoff, n, boost)
%
% where: sze is a two element vector specifying the size of filter
%