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watermarking-and-Matlab-simulation
。概括
了数字水印的研究现状和基本原理, 分析了基于小波变换的数字水印算法的优势, 阐述了小波
域水印嵌入与提取的过程, 最后由Matlab 仿真实现, 结果证明基于小波变换的数字水印具有较
强的掩蔽性和鲁棒性。(generalization
The research status and the digital watermarking technology, analyzes the basic principle based on wavelet transform the advantage of digital watermarking algorithm, this paper expounds the wavelet
Domain watermarking embedding and extracting process, finally by Matlab simulation results show the based on wavelet transform digital watermarking has more
Strong masking and robustness.
)
- 2011-05-15 23:21:48下载
- 积分：1
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jakesmodel
jake接收机的MATLAB的实现程序， 这个程序主要实现JAKE接受机(the programme of jake receiver with matlab, be completed with jake receiver )
- 2005-07-06 00:40:51下载
- 积分：1
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EOF
经验正交函数分析方法，是一种分析矩阵数据中的结构特征，提取主要数据特征量的一种方
法。常用于海洋、气象专业。(Empirical orthogonal function analysis method is an analysis of the data structure of the matrix, a method of extracting the main characteristics of the data volume. Commonly used in the marine, meteorology profession.)
- 2013-12-19 13:26:49下载
- 积分：1
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AIStoolbox
人工免疫系统工具箱，很给力，直接调用就可以了(toolbox)
- 2010-12-15 11:12:46下载
- 积分：1
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DEEC1VSDEEC2
无线传感器网络协议的数据传输对比以及能量消耗对比(Wireless sensor network data transfer protocol and the energy consumption comparison Comparison)
- 2013-07-24 22:33:17下载
- 积分：1
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MATLABProgrammingForEngineers
详细讲述了如何用matlab进行程序设计，如何编写高效的程序。(Describe in detail how to use matlab program design, how to write efficient programs.)
- 2012-11-13 23:53:08下载
- 积分：1
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多用户检测器的性能
比较LMS，RLS, 和Kalman滤波器多用户检测器的性能(LMS comparison, RLS, and the Kalman filter multi-user detector performance)
- 2020-12-09 21:49:19下载
- 积分：1
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AMESimMatlab
本文介绍了 AMESim/ Matlab联合仿真的接口问题,利用两个仿真软件的各自优点应用在单向阀结构的优化设计中(The Interface of AMESim and Matlab is discussed in the paper . As an applied example, Opt imization Design of Check Valve is show n.)
- 2011-01-17 10:13:19下载
- 积分：1
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CYT5
基于matlab的直接序列扩频通信系统的设计与仿真，在Matlab2012b上(Design and simulation matlab direct sequence spread spectrum communication system, on the Matlab2012b)
- 2013-12-17 11:08:43下载
- 积分：1
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SOM_NN_CODE
An important aspect of an ANN model is whether it needs
guidance in learning or not. Based on the way they learn, all
artificial neural networks can be divided into two learning
categories - supervised and unsupervised.
• In supervised learning, a desired output result for each input
vector is required when the network is trained. An ANN of the
supervised learning type, such as the multi-layer perceptron, uses
the target result to guide the formation of the neural parameters. It
is thus possible to make the neural network learn the behavior of
the process under study.
• In unsupervised learning, the training of the network is entirely
data-driven and no target results for the input data vectors are
provided. An ANN of the unsupervised learning type, such as the
self-organizing map, can be used for clustering the input data and
find features inherent to the problem.
- 2015-04-15 00:03:32下载
- 积分：1
