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chapter17_S
MATLAB 2007 小波分析理论 第十七章代码 帮助大家学习小波(MATLAB 2007 wavelet analysis theory Chapter XVII code to help you learn wavelet)
- 2014-08-25 17:44:21下载
- 积分:1
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rigid01
matlab中如何将非线性系统线性化之后如何利用kalman进行估计(matlab how to, after linearization of nonlinear systems to estimate how to use the kalman)
- 2011-11-28 16:52:27下载
- 积分:1
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matlab水击代码
该程序采用matlab语言编程,能够计算水锤压力随时间的变化。(The program is programmed in MATLAB language and can calculate the change of water hammer pressure with time.)
- 2019-04-30 16:49:08下载
- 积分:1
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xiaobo
MATLAB的ezw算法,有详细的介绍,可实现程序的编译功能(MATLAB' s ezw algorithm, a detailed description of the program compiled functions can be realized)
- 2010-05-19 17:38:10下载
- 积分:1
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hough
关于hough变换的边缘检测代码,自己编写的,用于设计作业,效果不错(About hough transform edge detection code, I have written for the design work, good results)
- 2014-10-08 18:29:55下载
- 积分:1
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Image-Denoising
基于matlab编写的图像滤波程序,包括均值滤波和中值滤波,并给出了处理后的图像(Image matlab image-based filtering process, including mean filter and median filter, and gives the treatment)
- 2013-04-27 14:57:08下载
- 积分:1
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1
说明: 数学建模问题 玫瑰有约 MATLAB程序(one mathematic modeling problem
having a meet with Rose
matlab program)
- 2010-08-13 22:58:53下载
- 积分:1
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Seed_PLSC
PLS的种子点方法脚本,参考文献:Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review,NeuroImg,2014,(seed PLS
Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review,NeuroImg,2014,)
- 2015-01-26 16:27:27下载
- 积分:1
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Parag.K..Lala..Principles.of.Modern.Digital
ASIC desing vlsi Engineering anna university electronics department
Engineering anna university electronics department
- 2014-02-07 18:41:29下载
- 积分:1
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BSSGUIlunwen
盲源分离(BSS: Blind Source Separation),又称为盲信号分离,是指在信号的理论模型和源信号无法精确获知的情况下,如何从混迭信号(观测信号)中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计,盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)
- 2017-09-20 11:01:09下载
- 积分:1