-
hurstestimators
包含了采用不同方法计算hurst指数的matlab程序( it contains several different methods for hurst exponent computation,including rs wavelet and so on)
- 2009-07-04 15:11:32下载
- 积分：1
-
matlabguideshej
matlab的gui设计程序,有关<信号与系统>课程的辅助教学设计(Matlab gui design procedures, the)
- 2007-05-10 21:39:03下载
- 积分：1
-
PEC-cylinders-RCS
This code has been prepared for earning Radar Cross Section of cylindrical PEC objects.
- 2014-08-06 16:55:04下载
- 积分：1
-
OFDM_basic
OFDM_basic, Wireless communication
- 2015-04-04 02:42:42下载
- 积分：1
-
matlab-for-AMI
用matlab进行AMI编码的调试并进行文本的输出与输入 同时还可以直观的看到波形图(MATLAB program used to prepare the
AMI modulation and demodulation process, and in order to simulate the process of digital communication system, in the modulated Gaussian white noise after.)
- 2012-04-22 07:05:59下载
- 积分：1
-
chzfsk
这个是一个FSK调制解调MATLAB实现的程序，是简化版的，调制解调一起调试的~(this is a FSK modulation and demodulation MATLAB procedure is simplified. modulation and demodulation with a testing-)
- 2007-01-12 18:41:45下载
- 积分：1
-
ica
fastica算法，去除眼电，实现对脑电的去噪处理(fastica algorithm to remove the EOG)
- 2020-09-20 15:17:53下载
- 积分：1
-
PdfEstimation
已知观测数据为A+W(n)，其中A为直流信号，W为复高斯噪声，服从CN（0， ），在统计N次下，计算X的统计平均值 ，求T(x)= 的pdf：p(T(x)|H0)、p(T(x)|H1)。
H0： W
H1： A+W
(Known observation data A+W (n), where A is the DC signal, W is the complex Gaussian noise, subject CN (0,), N times in the statistics, the calculation of the statistical mean of X, find T (x) = a pdf : p (T (x) | H0), p (T (x) | H1). H0: W H1: A+W)
- 2013-07-15 20:23:20下载
- 积分：1
-
danxiang
以单相桥式分支模块组成的整流电路仿真模型(Single phase bridge rectifier modules branch circuit simulation model)
- 2013-10-03 00:20:26下载
- 积分：1
-
otsu
OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection
Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern.
9:62-66 1979). Thresholds are computed to maximize a separability
criterion of the resultant classes in gray levels.
OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the
corresponding Iseg is therefore a binary image. The pixel values for
Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ...
[Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability
criterion within the range [0 1]. Zero is obtained only with images
having less than n gray level, whereas one (optimal value) is obtained
only with n-valued images.
- 2009-03-17 17:57:51下载
- 积分：1
