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International Conference on Eco-Friendly Computing and Communication Systems, ICECCS 2012

作者： Nidhin Prabhakar, T.V. Hemanth, V.K. Sachin Kumar, S. Soman, K.P. Soman, Arun Centre for Excellence in Computational Engineering and Networking Amrita University Coimbatore 641112 India Department of Information Technology Rajagiri School of Engineering and Technology India

ISBN: (纸本)9783642321115

Compressed sensing(CS) which serves as an alternative to Nyquist sampling theory, is being used in many areas of applications. In this paper, we applied recent compressed sensing algorithm such as DALM, FISTA and Split-Bregman on astronomical images. In astronomy, physical prior information is very crucial for devising effective signal processing methods. We particularly point out that CS-based compression scheme is flexible enough to account for such information. We try to compare these algorithms using objective measures like PSNR, MSE et al. With these measures we intend to verify the image quality of reconstructed and original images. © 2012 Springer-Verlag.

关键词： Compressed sensing

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Clause boundary identification for Tamil language using dependency parsing

Clause boundary identification for Tamil language using depe...

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1st Joint International Conference on Advances in Signal Processing and Information Technology, SPIT 2011 and the International Conference on Recent Trends in Information Processing and Computing, IPC 2011

作者： Dhivya, R. Dhanalakshmi, V. Anand Kumar, M. Soman, K.P. Centre for Excellence in Computational Engineering and Networking Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore India Department of Tamil SRM University Kattankulathur India

ISBN: (纸本)9783642325724

Clause boundary identification is a very important task in natural language processing. Identifying the clauses in the sentence becomes a tough task if the clauses are embedded inside other clauses in the sentence. In our approach, we use the dependency parser to identify the boundary for the clause. The dependency tag set, contains 11 tags, and is useful for identifying the boundary of the clause along with the identification of the subject and object information of the sentence. The MALT parser is used to get the required information about the sentence. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications engineering.

关键词： Syntactics

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Design of Trapezoidal Monopole Antenna with Truncated Ground Plane for 2.5 GHz Band

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Procedia Technology 2012年 6卷 650-657页

作者： Jolly Rajendran Rakesh Peter K.P. Soman Department of ECE Amrita Vishwa Vidyapeetham Coimbatore 641 112 India Assistant Professor Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore 641 112 Professor and Head Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore

In this paper, we share our experience of designing a Trapezoidal Monopole Antenna with truncated ground plane for 2.5 GHz Band. Trapezoidal monopole antenna has an omnidirectional radiation pattern. Point-to Multi-Point WiFi system requires an omnidirectional common main antenna to distribute signal to wireless devices and computers. The proposed antenna uses a relatively cheap substrate FR-4 with permittivity ɛ r = 4.4 and loss tangent tanδ = 0.02. The size of the antenna is 12×12 cm 2 . The ground plate is defected to achieve good impedance matching over the desired frequency band. A 50 Ohm microstrip transmission line acts as the feed for the proposed antenna. The antenna has a Voltage Standing Wave Ratio (VSWR) less than 2 in the frequency band 2.4 GHz to 2.75 GHz. The fractional bandwidth is about 13.5% with respect to the center frequency 2.52 GHz. The design and simulation results are presented in this paper.

关键词： Dielectric substrates Microstrip antennas Trapezoidal Monopole antenna Truncated ground plane Printed Monopole antenna WiFi Antenna

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Computation of Continuous Wavelet Transform Using Microsoft Excel SpreadSheet

Computation of Continuous Wavelet Transform Using Microsoft ...

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International Conference on Advances in Computing and Communications (ICACC)

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

Wavelet theory has become an essential and significant tool for signal and image processing applied in the analysis of various real time signals. It is thus necessary to include wavelet transform and its application in multifractal analysis as a part of the engineering curriculum. In this paper, we present simple and effective way of computing Continuous Wavelet Transform (CWT) using Microsoft Excel Spreadsheet which serves as an user friendly mathematical tool for beginners. The motivation of this paper is to prove the computational power of excel, using which students can have better understanding of the basic concept behind the computation of Continuous Wavelet Transform. The plot of Continuous Wavelet Transform of Brownian signal computation in Excel is compared with that of the result in the Matlab Toolbox. The singularities present in the signal can be inferred from the wavelet modulus maxima plot. The visual interpretation proves that Excel tool provides computational power comparable to that of the Matlab software. The codes for the implementation of CWT in Excel are available on ***:8080/sisp/wavelet/cwt/***, ***:8080/sisp/wavelet/cwt/***, ***:8080/sisp/wavelet/cwt/***.

关键词： Continuous wavelet transforms Wavelet analysis MATLAB Fractals Thermodynamics

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Directional total variation filtering based image denoising method

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International Journal of Computer Science Issues 2012年第2期9卷 161-170页

作者： Karthik, S. Hemanth, V.K. Soman, K.P. Balaji, V. Sachin Kumar, S. Sabarimalai Manikandan, M. Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore TamilNadu 641 112 India

In this paper, we study signal denoising technique based on total variation (TV) which was reported by Ivan W. Selesnick, Ilker Bayram [1]. Here, we present a directional total variation algorithm for image denoising. In most of the image denoising methods, the total variation denoising is directly performed on the noisy images. In this work, we apply a 1D TV denoising algorithm in sequential manner on the pixel sequence obtained in different orientations including zig-zag, horizontal and vertical. The performance of the proposed method is evaluated using the standard test images and the quality of the denoised images is assessed using various objective metrics such as peak signal to noise ratio (PSNR), structural similarity index metrics (SSIM), visual signal to noise ratio (VSNR). Various experiments show that the proposed method provides promising results with less computational load. © 2012 International Journal of Computer Science Issues.

关键词： Image denoising

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GNU Radio Based Control System

GNU Radio Based Control System

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International Conference on Advances in Computing and Communications (ICACC)

作者： Anand R. Gintu Xavier Hariharan V. Neethu Prasannan Rakesh Peter Soman K.P. Centre For Excellence in Comput. Eng. and Networking Amrita Vishwa Vidyapeetham Coimbatore-641112India Amrita Vishwa Vidyapeetham Coimbatore India Centre For Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India

This paper is an attempt to reveal the untapped immense power of the GNU Radio - an open source software, in control and monitoring systems, both real time applications and class-room demonstrations. GNU Radio has already gained wide acceptance and glory in communication and signal processing. As a novel attempt to bring the controlling capability of GNU Radio to limelight, an experiment for temperature control, out of its innumerable applications, and the possibility of a revolution by this free open source software is predicted and explained through this paper. This paper describes the hardware and software requirements for the temperature control experiment with SBHS (Single Board Heater System) using GNU Radio and describes the recommended classroom demonstration.

关键词： Heating Software Real time systems Monitoring Software radio

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Filter design using sparse signal restoration techniques

Filter design using sparse signal restoration techniques

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2011 IEEE Recent Advances in Intelligent computational Systems, RAICS 2011

作者： Lakshmi, K. Soman, K.P. Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India

ISBN: (纸本)9781424494774

The paper proposes the design of linear phase filters using the optimization techniques based on methods for sparse signal restoration. The filter response is treated as weighted sum of the phase shifted versions of the signal. The filter design problem is converted into form Ax ≈ b, where A has rows given by [1 cos(-ω) cos(-2ω...) ], corresponding to a given frequency ω. x corresponds to the filter coefficients and b = R(ω) cos φ(ω), where R stands for the magnitude and φ the phase of the desired response. The problem is formulated into an L1 term and and L2 term and solved iteratively using ISTA (Iterative Soft Thresholding Algorithm [1]) to get the filter coefficients. The visible outcome of the approach is the considerable reduction in the non-zero coefficients. © 2011 IEEE.

关键词： Signal reconstruction

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Application framework for management and monitoring of heterogeneous 6LoWPAN deployment 11

Application framework for management and monitoring of heter...

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1st International Conference on Wireless Technologies for Humanitarian Relief, ACWR 2011

作者： Rajgopal, C. Peter, Rakesh Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore Tamilnadu India

ISBN: (纸本)9781450310116

Large Scale Heterogeneous Wireless Sensor Networks require effective tools for monitoring and managing the network. In this paper, we discuss about the design and implementation of an application framework in order to monitor and manage a wireless sensor deployment, where the motes exchange IPv6 encapsulated information packets. The application framework is based on a three tier architecture with the nesC / TinyOS based firmware using 'blip' components forming the bottom layer, a middle layer implemented in Python and top layer which is a web interface created using Adobe Flex 4. The implemented features of the application framework include - sensor data acquisition and display, network activity detection of deployed motes, over-the-air programming for software re-visioning, as well as node localization and mapping. The application framework also extends to incorporate the software defined radio based gateway deployed using GNU Radio platform and Universal Software Radio Peripheral (USRP) which enables the testbed to bridge to other heterogeneous systems.

关键词： Software radio

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Noise robust zerocrossing rate computation for audio signal classification

Noise robust zerocrossing rate computation for audio signal ...

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2011 3rd International Conference on Trendz in Information Sciences and Computing, TISC 2011

作者： Kathirvel, P. Manikandan, M. Sabarimalai Senthilkumar, S. Soman, K.P. Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Tamilnadu-641112 India

ISBN: (纸本)9781467301329

Zero-crossing rate (ZCR) is one of the most important acoustic feature that has been widely used in voice activity detection, voiced/unvoiced speech classification, music/speech classification image processing, optics, biomedical engineering, radar and fluid mechanics. The conventional time-domain ZCR measurement is sensitive to nonstationary noise. In this paper, we present a noise robust zerocrossing rate computation method. The number of zerocrossings is computed in autocorrelation-domain rather than in time-domain. The accuracy of the proposed measurement method is evaluated using both sinusoidal and speech waveforms under different signal-to-noise ratios (SNRs). Experimental results show that the proposed ZCR measurement method achieves better accuracy than the conventional ZCR measurement methods in the literature. © 2011 IEEE.

关键词： Speech recognition

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Filter design using sparse signal restoration techniques

Filter design using sparse signal restoration techniques

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IEEE Recent Advances in Intelligent computational Systems (RAICS)

作者： K Lakshmi K P Soman Amrita Vishwa Vidyapeetham Coimbatore Tamil Nadu IN Centre for Excellence in Computational Engineering and Networking University of Valencia Coimbatore India Amrita Vishwa Vidyapeetham Centre for Excellence in Computational Engineering and Networking Coimbatore India

The paper proposes the design of linear phase filters using the optimization techniques based on methods for sparse signal restoration. The filter response is treated as weighted sum of the phase shifted versions of the signal. The filter design problem is converted into form Ax ≈ b, where A has rows given by [1 cos(-ω) cos(-2ω) ...], corresponding to a given frequency ω. x corresponds to the filter coefficients and b = R(ω) cos φ (ω), where R stands for the magnitude and φ the phase of the desired response. The problem is formulated into an L1 term and and L2 term and solved iteratively using ISTA (Iterative Soft Thresholding Algorithm [1]) to get the filter coefficients. The visible outcome of the approach is the considerable reduction in the non-zero coefficients.

关键词： Finite impulse response filter IIR filters Band pass filters Filtering algorithms Algorithm design and analysis Inverse problems

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