检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

89 篇 会议
27 篇 期刊文献

馆藏范围

116 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

61 篇 工学
- 47 篇 计算机科学与技术...
- 41 篇 软件工程
- 31 篇 信息与通信工程
- 10 篇 生物医学工程（可授...
- 10 篇 生物工程
- 5 篇 机械工程
- 5 篇 仪器科学与技术
- 5 篇 控制科学与工程
- 4 篇 电气工程
- 4 篇 电子科学与技术（可...
- 4 篇 化学工程与技术
- 4 篇 安全科学与工程
- 2 篇 力学（可授工学、理...
- 2 篇 光学工程
- 2 篇 轻工技术与工程
37 篇 理学
- 25 篇 数学
- 11 篇 生物学
- 6 篇 物理学
- 6 篇 统计学（可授理学、...
- 4 篇 系统科学
- 3 篇 化学
18 篇 管理学
- 12 篇 图书情报与档案管...
- 6 篇 管理科学与工程(可...
7 篇 医学
- 6 篇 临床医学
- 5 篇 基础医学(可授医学...
- 4 篇 药学(可授医学、理...
- 3 篇 公共卫生与预防医...
4 篇 法学
- 3 篇 社会学
- 2 篇 法学
3 篇 农学
- 3 篇 作物学
1 篇 经济学
1 篇 教育学
1 篇 文学

主题

8 篇 support vector m...
8 篇 compressed sensi...
6 篇 software radio
5 篇 variational mode...
5 篇 software
4 篇 vectors
4 篇 feature extracti...
4 篇 receivers
4 篇 electrocardiogra...
3 篇 sparse matrices
3 篇 discrete wavelet...
3 篇 data mining
3 篇 kernel
3 篇 hardware
3 篇 discrete cosine ...
3 篇 random kitchen s...
2 篇 internet of thin...
2 篇 learning systems
2 篇 libraries
2 篇 noise measuremen...

机构

26 篇 centre for excel...
6 篇 amrita vishwa vi...
5 篇 amrita vishwa vi...
5 篇 centre for excel...
4 篇 centre for excel...
4 篇 department of el...
3 篇 centre for excel...
3 篇 centre for excel...
3 篇 graphic era univ...
3 篇 uttaranchal univ...
3 篇 centre for excel...
3 篇 centre for excel...
3 篇 department of el...
3 篇 centre for excel...
3 篇 centre for excel...
2 篇 department of ot...
2 篇 department of ph...
2 篇 department of co...
2 篇 karachi pakistan
2 篇 department of op...

作者

39 篇 soman k.p.
16 篇 anandaram harish...
15 篇 k.p. soman
12 篇 sachin kumar s.
10 篇 anand kumar m.
8 篇 r. gandhiraj
7 篇 k p soman
7 篇 k. p. soman
7 篇 v. sowmya
5 篇 joshi kapil
5 篇 gupta ashulekha
4 篇 prabaharan poorn...
4 篇 sowmya v.
3 篇 barathi ganesh h...
3 篇 veena v.k.
3 篇 pinchu prabha
3 篇 neethu john
3 篇 harishchander an...
3 篇 gehlot anita
3 篇 v sowmya

语言

115 篇 英文
1 篇 其他

检索条件"机构=Centre For Excellence in Computational Engineering and Networking"

共 116 条记录，以下是91-100 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

A cryptographic approach to video watermarking based on compressive sensing, Arnold transform, sum of absolute deviation and SVD

A cryptographic approach to video watermarking based on comp...

引用

2013 Annual International Conference on Emerging Research Areas, AICERA 2013 and 2013 International Conference on Microelectronics, Communications and Renewable Energy, ICMiCR 2013

作者： Jyothish Lal, G. Veena, V.K. Soman, K.P. Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore-641112 India

ISBN: (纸本)9781467351492

Video watermarking is relatively a new technology to ensure protection of intellectual property rights and to stop video piracy. The ownership information or watermark is normally hidden in the video sequences. In this paper, a novel video watermarking method is proposed to protect the ownership information in a robust way. This method encrypts the watermark by combining the strengths of Compressive Sensing and Arnold scrambling. The frames for watermark embedding are chosen by computing the Sum of Absolute Deviation between successive frames. The cipher watermark is then embedded into chosen frames based on SVD watermark embedding algorithm. The decryption stage performs SVD watermark extraction algorithm, Arnold inverse transform and L1 optimization for retrieval of watermark. Experimental results show that proposed method enhances the security of the ownership information embedded. © 2013 IEEE.

关键词： Compressed sensing

来源：评论

学校读者我要写书评

暂无评论

A Combined Crypto-steganographic Approach for Information Hiding in Audio Signals Using Sub-band Coding, Compressive Sensing and Singular Value Decomposition

A Combined Crypto-steganographic Approach for Information Hi...

引用

International Symposium on Security in Computing and Communications, SSCC 2013

作者： Lal, G.Jyothish Veena, V.K. Soman, K.P. Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore 641112 India

ISBN: (纸本)9783642405754

In this paper, a new method of audio data security system is proposed, which uses the complementary services provided by steganography and cryptography. Here the audio data to be send secretly is encoded using the compressive measurements of the same and the resultant data is embedded in the perceptible band of the cover audio data using the SVD based watermarking algorithm. Thus the combination of these two methods enhances the protection against most serious attacks when audio signals are transmitted over an open channel. Decryption stage uses SVD based watermark extraction algorithm and L1 optimization. Experimental results show that the combined system enhances the security of the audio data embedded. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Singular value decomposition

来源：评论

学校读者我要写书评

暂无评论

Low cost digital transceiver design for Software Defined Radio using RTL-SDR

Low cost digital transceiver design for Software Defined Rad...

引用

International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)

作者： M B Sruthi M Abirami Akhil Manikkoth R Gandhiraj K P Soman Amrita Vishwa Vidyapeetham Coimbatore Tamil Nadu IN Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India Centre for Excellence in Computational Engineering and Networking

The field of wireless communication has become the hottest area and Software Defined Radio (SDR) is revolutionizing it. By bringing much functionality as software, SDR reduces the cost of hardware maintenance and up-gradation. Open source hardware such as USRP (Universal Software Radio Peripheral) and software called GNU Radio-Companion are commonly used to do experiments in SDR. Since the cost of USRP is high, a low cost set up is needed which is affordable by the student community. In this paper a low cost alternative to USRP is proposed using RTL-SDR (Realtek Software Defined Radio) which is only used for reception. For transmitting purpose, a mixer circuit can be used to map the baseband signal to the band that can be received by RTL-SDR on the other end on Linux / Windows platform. Initially, the experiment is done in simulation. After that, it is tested with low cost hardware such as mixer and RTL-SDR. The cost for total transceiver system can be less than USD 100 which is 10 times less than the existing one.

关键词： Mixers Software Frequency shift keying Hardware Software radio Radio frequency

来源：评论

学校读者我要写书评

暂无评论

Understanding CDMA in linear algebra point of view and its simulation in Excel

Understanding CDMA in linear algebra point of view and its s...

引用

International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)

作者： P Sukanya M Suchithra O K Sikha Pinchu Prabha K P Soman Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India

Code Division Multiple Access (CDMA) is one of the famous channel access method, mainly used in radio communication technologies. Unfortunately this concept is less understood by the student community due to the lack of understanding the mathematical rules behind it. This paper is intended to provide a linear algebra point of explanation of the concepts behind CDMA. The CDMA concept which was otherwise analyzed in spectral point of view is explained using the orthogonality of the bases. The Microsoft Excel Spread Sheet is used as an aid for the simulation since every one can go deep in to the basic concepts.

关键词： Vectors Multiaccess communication Receivers Transforms Binary phase shift keying

来源：评论

学校读者我要写书评

暂无评论

A cryptographic approach to video watermarking based on compressive sensing, arnold transform, sum of absolute deviation and SVD

A cryptographic approach to video watermarking based on comp...

引用

Annual International Conference on Emerging Research Areas and International Conference on Microelectronics, Communications and Renewable Energy (AICERA/ICMiCR)

作者： Lal G Jyothish V K Veena K P Soman Centre For Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India

Video watermarking is relatively a new technology to ensure protection of intellectual property rights and to stop video piracy. The ownership information or watermark is normally hidden in the video sequences. In this paper, a novel video watermarking method is proposed to protect the ownership information in a robust way. This method encrypts the watermark by combining the strengths of Compressive Sensing and Arnold scrambling. The frames for watermark embedding are chosen by computing the Sum of Absolute Deviation between successive frames. The cipher watermark is then embedded into chosen frames based on SVD watermark embedding algorithm. The decryption stage performs SVD watermark extraction algorithm, Arnold inverse transform and L 1 optimization for retrieval of watermark. Experimental results show that proposed method enhances the security of the ownership information embedded.

关键词： Watermarking Compressed sensing Transforms Encryption Receivers Ciphers

来源：评论

学校读者我要写书评

暂无评论

A comparative study of spike and smooth separation from a signal using different overcomplete dictionary

A comparative study of spike and smooth separation from a si...

引用

International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)

作者： G Aarthy P. L Amitha Thara Krishnan Geethu S Pillai V Sowmya K. P Soman Centre For Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India

Most of the natural signals are complex and are highly time varying, since they are non stationary in nature. In this paper, a comparative study for separating spikes and smooth signal components from a non-stationary signal are performed based on different overcomplete dictionaries. The experiment is evaluated using the sparse representation with different bases such as the Discrete Cosine Transform (DCT), Walsh-Hadamard, Orthogonal and Biorthogonal wavelet basis. The primary focus of this paper is to use L 1 minimization for retrieving the smooth and spikes component of the signal using different overcomplete dictionary. The experimental results reveals out the dictionary that delivers a better separation without distorting temporal and spectral characteristics.

关键词： Discrete cosine transforms Vectors Dictionaries Optimization Discrete wavelet transforms Wavelet analysis Symmetric matrices

来源：评论

学校读者我要写书评

暂无评论

Compressive estimation of UWA channels for OFDM transmission using iterative sparse reconstruction algorithms

Compressive estimation of UWA channels for OFDM transmission...

引用

International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)

作者： K Lakshmi P Muralikrishna K P Soman Centre for Excellence in Computational Engineering and Networking Amrita Vishwavidyapeetham Coimbatore India Kochi India

Channel estimation is an important aspect in wireless communication, in which an estimate of the interference caused to the normal transmission is found, which is then cancelled to retrieve the original signal. In UnderWater Acoustic transmission, two main effects are delay spread and Doppler shift. It has been found[10] that while sampling in the delay - Doppler domain, the effect of the channel can be treated as sparse. Thus framing the estimation problem as an optimization problem of the form of a Basis Pursuit De Noising (BPDN)[21] and solving it using sparse reconstruction methods could be a good technique. In addition to giving good sparse solution, the technique also assures low computational complexity, (due to iterative nature of solution methodology) when compared to traditional estimation methods like Least Square Estimation (LSE) and Minimum Mean Square Error Estimation(MMSE).

关键词： Channel estimation Estimation OFDM Delays Sparse matrices Approximation methods Compressed sensing

来源：评论

学校读者我要写书评

暂无评论

Real-time communication system design using RTL-SDR and Raspberry Pi

Real-time communication system design using RTL-SDR and Rasp...

引用

International Conference on Advanced Computing and Communication Systems (ICACCS)

作者： R. Danymol T. Ajitha R. Gandhiraj Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India Department of Electronics and Communication Engineering Coimbatore India

RTL-2832U USB receiver - Raspberry Pi setup receives and decodes the FM signals and sends to another computer across the Local Area Network. It can be realized by means of SDR-Sharp software in remote PC; hence it can be used for communication. Raspberry Pi is a low cost, credit-card sized computer. Whereas RTL-2832U USB receiver has a mode where it dumps raw IQ samples over USB to the computer. The GNU Radio experiments supports this relatively cheap USB receiver as a software defined radio. Using GNU Radio Companion, all real-time communication experiments can be reproduced.

关键词： Universal Serial Bus Software Frequency modulation Computers Servers Tuners

来源：评论

学校读者我要写书评

暂无评论

An experimental study on application of Orthogonal Matching Pursuit algorithm for image denoising

An experimental study on application of Orthogonal Matching ...

引用

International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)

作者： M Suchithra P Sukanya Pinchu Prabha O K Sikha V Sowmya K P Soman Amrita Vishwa Vidyapeetham Coimbatore Tamil Nadu IN Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India

Signal or image reconstruction has now become a common task in many applications. According to linear algebra perspective, the number of measurements made or the number of samples taken for reconstruction must be greater than or equal to the dimension of signal or image. Also reconstruction follows the Shanon's sampling theorem which is based on the Nyquist sampling rate. The reconstruction of a signal or image using the principle of compressed sensing is an exception which makes use of only few number of samples which is below the sampling limit. Compressive sensing also known as sparse recovery aims to provide a better data acquisition and reduces computational complexities that occur while solving problems. The main goal of this paper is to provide clear and easy way to understand one of the compressed sensing greedy algorithm called Orthogonal Matching Pursuit (OMP). The OMP algorithm involves the concept of overcomplete dictionary that is formulated based on different thresholding methods. The proposed method gives the simplified approach for image denoising by using OMP only. The experiment is performed on few standard image data set simulated with different types of noises such as Gaussian noise, salt and pepper noise, exponential noise and Poisson noise. The performance of the proposed method is evaluated based on the image quality metric, Peak Signal-to-Noise Ratio (PSNR).

关键词： Matching pursuit algorithms Noise Dictionaries Vectors Image reconstruction Sparse matrices Compressed sensing

来源：评论

学校读者我要写书评

暂无评论

A robust watermarking method based on Compressed Sensing and Arnold scrambling

A robust watermarking method based on Compressed Sensing and...

引用

2012 International Conference on Machine Vision and Image Processing, MVIP 2012

作者： Veena, V.K. Jyothish Lal, G. Vishnu Prabhu, S. Sachin Kumar, S. Soman, K.P. Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore-641112 India

ISBN: (纸本)9781467323208

Watermarking is a technique for information hiding, which is used to identify the authentication and copyright protection. In this paper, a new method of watermarking scheme is proposed, which uses both Compressed Sensing and Arnold scrambling method for efficient data compression and encryption. Compressive sensing technique aims at the reconstruction of sparse signal using a small number of linear measurements. Compressed measurements are then encrypted using Arnold transform. The proposed encryption scheme is computationally more secure against investigated attacks on digital multimedia signals. © 2012 IEEE.

关键词： Compressed sensing

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共12页 << < 3 4 5 6 7 8 9 10 11 12 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：