-
changjianxinhao
基于matlba的常见信号设计，全部都经过实验验证，可作为子函数使用(Common Signal Design matlba based, all through experimental verification, use as Functions)
- 2013-11-24 11:50:19下载
- 积分：1
-
WIMAX_OFDM
WiMAX物理层平台搭建，并实现了物理层小数时延和整数时延的添加，并并一定方法实现对时延的估计(WiMAX physical platform building, and implements the fractional time delay and integer delay to add the physical, and a certain method of time delay estimation)
- 2013-12-16 10:47:55下载
- 积分：1
-
tablesederhana
Kode sederhana membuat table pada Matlab
- 2013-04-17 06:07:21下载
- 积分：1
-
Huffman
This is matlab source files for implementing haffman codes
- 2013-05-21 23:59:57下载
- 积分：1
-
Romberg
使用Matlab语言完成《数值计算方法》中的Romberg（龙贝格）积分公式，程序可以根据用户输入的积分上下限、误差容限及表达式实现Romberg积分。(Using Matlab language to complete " numerical methods" in the Romberg (Romberg) integral formula, the program based on user input limits of integration, error tolerance and expression implementations Romberg integration.)
- 2013-08-14 17:12:01下载
- 积分：1
-
BerndHafner
C-mex files for MATLAB encounter the following problem when compiling
them with WATCOM 11.0: All access-functions to files (fprintf, fscanf)
cannot handle double variables, only integer and strings are read or
written correctly. The file convert.c contains two functions: You may
read a double-variable as a string from the file and convert it to a
double (function string2double) and you may convert a double to a string
(function double2string) and write it to a file (see main() in
convert.c).
The file conditio.dat is an example of numbers read by convert.c. The
conv.exe was compiled on a Windows95-system.
The files were tested for MATLAB 5.2 and WATCOM 11.0a
result of "ver" is: MATLAB Version 5.2.1.1420 on PCWIN
(C-mex files for MATLAB encounter the following problem when compiling them with WATCOM 11.0: All access-functions to files (fprintf, fscanf) cannot handle double variables, only integer and strings are read or written correctly. The file convert.c contains two functions: You may read a double-variable as a string from the file and convert it to a double (function string2double) and you may convert a double to a string (function double2string) and write it to a file (see main () in convert.c). The file conditio.dat is an example of numbers read by convert.c. The conv.exe was compiled on a Windows95-system. The files were tested for MATLAB 5.2 and WATCOM 11.0a result of " ver" is : MATLAB Version 5.2.1.1420 on PCWIN)
- 2009-12-23 14:44:06下载
- 积分：1
-
lbp
Linear Block codes....in this program input is image and size of block,then returns LBP s histograms
- 2012-05-28 12:02:32下载
- 积分：1
-
tiqian
时间提前程序，讲时间序列统一提前一年，在雨量站资料处理上很有用(Program ahead of time, say one year ahead of time series, uniform, stand in the rain on the useful data processing)
- 2011-09-29 22:37:01下载
- 积分：1
-
matlab
说明： 用matlab求多项式的实根解答的代码，其中包含多种方法。。。(Using matlab to answer the real roots of a polynomial code, which contains a variety of methods. . .)
- 2011-04-07 13:42:49下载
- 积分：1
-
fecgm
独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE.
Jade performs `Source Separation in the following sense:
X is an n x T data matrix assumed modelled as X = A S + N where
o A is an unknown n x m matrix with full rank.
o S is a m x T data matrix (source signals) with the properties
a) for each t, the components of S(:,t) are statistically
independent
b) for each p, the S(p,:) is the realization of a zero-mean
`source signal .
c) At most one of these processes has a vanishing 4th-order
cumulant.
o N is a n x T matrix. It is a realization of a spatially white
Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance
sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE.
Jade performs `Source Separation in the following sense:
X is an n x T data matrix assumed modelled as X = A S+ N where
o A is an unknown n x m matrix with full rank.
o S is a m x T data matrix (source signals) with the properties
a) for each t, the components of S(:,t) are statistically
independent
b) for each p, the S(p,:) is the realization of a zero-mean
`source signal .
c) At most one of these processes has a vanishing 4th-order
cumulant.
o N is a n x T matrix. It is a realization of a spatially white
Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance
sigma. This is probably better than no modeling at all...)
- 2010-05-27 23:08:51下载
- 积分：1
