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多尺度散布熵(matlab)

于 2021-03-17 发布

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代码说明：

说明：用matlab编写的多尺度散布熵程序，还保存精细多尺度散布熵程序(The program of multi-scale dispersion entropy written by MATLAB also preserves the program of fine multi-scale dispersion entropy.)

文件列表：

多尺度散布熵(matlab)\DisEn_NCDF.m, 2010 , 2017-10-07
多尺度散布熵(matlab)\DisEn_NCDF_ms.m, 2021 , 2017-10-07
多尺度散布熵(matlab)\imtfs.mat, 70731 , 2018-11-16
多尺度散布熵(matlab)\license_text, 17416 , 2017-10-07
多尺度散布熵(matlab)\MDE.m, 1579 , 2017-10-07
多尺度散布熵(matlab)\MDE_test01.m, 318 , 2018-11-19
多尺度散布熵(matlab)\RCMDE.m, 1776 , 2017-10-07
多尺度散布熵(matlab), 0 , 2019-08-03

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shang_erzhi
图像一维熵的计算方法。读入彩色图像，利用图像信息熵的计算公式，设计算法，实现熵的计算。(one-dimensional image entropy method of calculation. Reading into color images using image information entropy formula, design algorithm, and entropy calculations.)

2007-03-03 16:19:22下载

积分：1
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解决遗传算法MATLAB编程，有助于初学者借鉴。(Solve the genetic algorithm MATLAB programming, help for beginners to learn from.)

2012-07-05 11:29:56下载

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根据lamda遗忘因子来确定均方误差的变化趋势，和alpha的变化，仿真效果好，达到理想的效果。(Lamda forgetting factor to determine the mean square error trends, changes and alpha, simulation results, achieve the desired results.)

2012-10-23 22:51:44下载

积分：1
feixianfanchenqiugen
这是非线性方程（组）的数值解法，里面的源程序都经matlab2008测试通过了！！(This is a non-linear equation (group) of numerical solution, which have been the source of the matlab2008 test! !)

2009-05-16 13:28:20下载

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hmf
extracts window coordinates from an image of a building. window pictures must be taken at a straight angle, and the picture needs to be shot at daylight.

2009-07-02 04:04:58下载

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ideal_comp
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2011-04-12 13:52:07下载

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基于matlab的SVM, gaussian_kernel 和polynomial_kernel(gaussian_kernel 和polynomial_kernel)

2014-11-22 06:38:38下载

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pcm
i think i t a usedfu lomosuoou oform yi moe (fdeoey ou iyou migouo oe youmieyo)

2010-10-22 23:22:17下载

积分：1
clock1
MATLAB开发的精美时钟1,美观漂亮.(1 MATLAB development of fine clock, beautiful beautiful.)

2011-05-02 08:32:50下载

积分：1
kalman
Carrier-phase synchronization can be approached in a general manner by estimating the multiplicative distortion (MD) to which a baseband received signal in an RF or coherent optical transmission system is subjected. This paper presents a unified modeling and estimation of the MD in finite-alphabet digital communication systems. A simple form of MD is the camer phase exp GO) which has to be estimated and compensated for in a coherent receiver. A more general case with fading must, however, allow for amplitude as well as phase variations of the MD. We assume a state-variable model for the MD and generally obtain a nonlinear estimation problem with additional randomly-varying system parameters such as received signal power, frequency offset, and Doppler spread. An extended Kalman filter is then applied as a near-optimal solution to the adaptive MD and channel parameter estimation problem. Examples are given to show the use and some advantages of this scheme.

2007-09-18 21:06:09下载

积分：1

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多尺度散布熵(matlab)

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