3,234 research outputs found
Machine Learning Framework For Fully Automatic Quality Checking Of Rigid And Affine Registrations In Big Data Brain MRI
No full textIntroduction to continuum mechanics / Sudhakar Nair.
No full textengineering bookfair2015Includes bibliographical references and index.xii, 237 pages
UMP Excels in The Research Area of PV Module Cooling
No full textUMP research team led by Dr. Sudhakar Kumarasamy in collaboration with Russian and Indian researchers have been working on cooling solutions for photovoltaic modules over the past few years
K. Mukund (éd.), Andhra Pradesh Economy in Transition T. Koteswara Rao et S. Reddy (éd.), Development of Andhra Pradesh. Problems and Prospects S. Sudhakar Reddy, Effects of Irrigation on Levels of Living. Labour Force Participation and Wages in Andhra Pradesh
No full textÉtienne Gilbert. K. Mukund (éd.), Andhra Pradesh Economy in Transition T. Koteswara Rao et S. Reddy (éd.), Development of Andhra Pradesh. Problems and Prospects S. Sudhakar Reddy, Effects of Irrigation on Levels of Living. Labour Force Participation and Wages in Andhra Pradesh. In: Tiers-Monde, tome 34, n°134, 1993. Agriculture, écologie et développement, sous la direction de Marc Dufumier. p. 476
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Signal Processing Techniques EnablingWideband A/D Converters
No full textWith an ever-widening signal spectrum and incorporation of multiple standards that share the available spectrum at the same time, research towards building wideband analog-to-digital converters (ADCs) has gained significant momentum. Furthermore, with an aim to improve spectral efficiency, increasingly complex modulation schemes are being invoked having high peak-to-average ratios, the latter translating to high dynamic ranges for the received signals. Consequently, the ADCs deployed in these receivers need to be of quite high precision as well. With these two primary goals for ADCs (high bandwidth, high resolution) in mind, this thesis presents a few different techniques for achieving them.In the first part of this thesis, we shall explore the art of dithering to linearize an A/D converter system. In particular, a digital-signal conditioning technique (using subtractive dither) is developed as a stepping-stone for a high resolution system. The effects of filtering the dither signal to shape its spectral content outside the signal band while maintaining its benefits are studied in detail. Design strategies for finite impulse response (FIR) filters that accomplish spectral shaping as well as allay quantizer non-linearity are derived theoretically.In the second part of this thesis, the proposed dithering technique is used for linearizing an ADC system that is intrinsically non-linear, namely a VCO-based ADC. Ring voltage-controlled oscillator (VCO)-based ADCs have surfaced as elegant alternatives to the traditional modulators primarily due to their mostly digital nature. They offer low power, low area and simplicity of design benefits. However, they are known to be notoriously non-linear that can be attributed to the non-linear nature of the frequency-voltage tuning curve of the VCO. In the proposed scheme, the ring VCO-based ADC is preceded by a coarse flash ADC. The former processes the quantization error (residue), a signal with much smaller dynamic range, from the coarse ADC thereby lessening the impact of the non-linearity. The proposed dithering technique further helps in alleviating the non-linearity. It helps condition the signal to the VCO input to appear as white noise thereby eliminating spurious signal content arising out of the VCO nonlinearity. The technique, thus obviates the need for power-hungry digital calibration techniques or expensive front-end loop-filters. A prototype implementation (in 65nm CMOS) based on the technique achieves 10-b ENOB in digitizing signals with 50MHz bandwidth consuming 8.2mW at an FoM of 90fJ/conv.step.In the third part of this thesis, a very popular technique of bandwidth enhancement through time-interleaving multiple A/D converters is examined. Time-interleaved A/D converters enable high conversion bandwidths with quite high precisions. However, inevitable mismatch errors typical of any integrated circuit fabrication process degrades the achievable dynamic range of such A/D converters. Multiple techniques have been proposed over the past two decades to alleviate the problems of mismatch errors. This chapter takes a detailed look at most of these techniques bringing out their strengths and weaknesses. The chapter provides a hitherto unavailable common platform to look at analog and digital intensive techniques towards solving this issue motivating the development of a novel solution to this problem in the subsequent section.In the fourth chapter, a power-efficient technique to combat mismatches for time-interleaved systems is proposed. The proposed technique adaptively selects finite impulse response filters that take advantage of the signal characteristics. The sub-band outputs from the ADC are passed through these filters to correct for errors at a minimal hardware expense. Simulation results substantiating the claims and thorough analyses of the technique are subsequently presented to highlight the efficacy of the technique. Chapter 1 of this thesis has been published in full in the International Conference on Acoustics, Speech and Signal Processing(ICASSP)}, 2013. The dissertation author is the primary investigator and author of this paper. Professor Sudhakar Pamarti supervised the research which forms the basis for this paper.Chapter 2 of this thesis is a reprint of a paper under preparation to be submitted in part or in full to the IEEE Journal of Solid-States Circuits (JSSC) . The dissertation author is the primary investigator and Professor Sudhakar Pamarti supervised the research which forms the basis for this paper. By the virtue of being (or to be) independent papers, there is a slight degree of overlap in content between Chapters 1 and 2, but this is essential to maintain the continuity of the chapters. Chapter 3 of this thesis is a reprint of a paper under preparation to be submitted in part or in full to the IEEE Transactions of Circuits and Systems-1 (TCAS-1). The dissertation author is the primary investigator and Professor Sudhakar Pamarti supervised the research which forms the basis for this paper.Chapter 4 of this thesis is also a reprint of a paper under preparation to be submitted in part or in full to the IEEE Transactions of Circuits and Systems-1 (TCAS-1). The dissertation author is the primary investigator and Professor Sudhakar Pamarti supervised the research which forms the basis for this paper
K. Mukund (éd.), Andhra Pradesh Economy in Transition T. Koteswara Rao et S. Reddy (éd.), Development of Andhra Pradesh. Problems and Prospects S. Sudhakar Reddy, Effects of Irrigation on Levels of Living. Labour Force Participation and Wages in Andhra Pradesh
No full textÉtienne Gilbert. K. Mukund (éd.), Andhra Pradesh Economy in Transition T. Koteswara Rao et S. Reddy (éd.), Development of Andhra Pradesh. Problems and Prospects S. Sudhakar Reddy, Effects of Irrigation on Levels of Living. Labour Force Participation and Wages in Andhra Pradesh. In: Tiers-Monde, tome 34, n°134, 1993. Agriculture, écologie et développement, sous la direction de Marc Dufumier. p. 476
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Design and Analysis of Spectrum Scanners Based on Passive, Linear Periodically Time-Varying Circuits
No full textSpectrum sensing finds its use is many applications. With modern communication systems moving towards Cognitive Radios (CRs) to better utilize the available spectrum, spectrum sensing is a key enabling functionality that allows the detection of primary users and interferes to support spectrum sharing. Spectrum sensing can also be useful in security applications that require a certain degree of RF spectrum awareness. In addition, it can be used for built-in self-test like transmitter tuning by measuring the output spectrum to allow spur reduction and digital predistortion.To be useful, the spectrum scanners used for sensing should be able to handle large blockers and detect weak signals at the same time. Thus both good linearity and high sensitivity are desired. In addition, these scanners need to be highly programmable and selective while incurring a low power cost.In this research we have addressed the issues that plague traditional spectrum scanners by using the recent technique of Filtering by Aliasing (FA). The FA-based spectrum scanner is a passive structure that uses simple but linear, periodically time-varying (LPTV) RC circuits. This LPTV circuit is shown to provide a high spurious-free dynamic range, precise resolution bandwidths while still consuming very low power.In this dissertation, the FA technique is briefly explained, and the design considerations and implementation of a spectrum scanner IC that achieves excellent linearity and low power as compared to state-of-the-art designs is presented. In addition, a theoretical analysis of some of the limiting factors of the passive LPTV scanner is presented together with some circuit and/or signal-processing solutions.Chapters 2 and 3 of this dissertation are the reprint of a paper that is to be published in full in the IEEE Journal of Solid-States Circuits (JSSC). The dissertation author is the primary investigator and Professor Sudhakar Pamarti supervised the research which forms the basis for this paper. Dr. Mansour Rachid and Professor Shanthi Pavan from IIT, Madras collaborated on this work as well.Chapters 4 and 5 of this dissertation are the reprint of a paper under preparation to be submitted in part or in full to the IEEE Transactions of Circuits and Systems-1 (TCAS-1). The dissertation author is the primary investigator and Professor Sudhakar Pamarti supervised the research which forms the basis for this paper. By the virtue of being independent papers, there is a slight degree of content overlap between Chapters 2-3 and 4-5
The spectral vs. energy efficiency trade-off in dynamic user clustering aided mmWave NOMA networks
No full textThe spectral efficiency (SE) and global energy efficiency (GEE) trade-off encountered in the design of millimeter-wave (mmWave)-based massive multi-input multioutput (MIMO) non-orthogonal multiple access (NOMA) networks is investigated with a particular focus on user clustering. By exploiting the similarity among user channels a pair of spectral and energy-efficient user clustering algorithms are proposed for dynamically selecting both the number of clusters and the number of users in each cluster. Subsequently, a joint analog precoder/combiner and user clustering technique is developed, followed by a multi-objective optimization (MOO) framework for flexibly balancing the GEE and SE objectives in a mmWave NOMA network subject to specific constraints. The MOO objective is initially transformed to a weighted sum rate maximization problem, followed by a quadratic-transform (QT)-based approach conceived for maximizing the non-convex objective by approximating it as a concave-convex function. Our simulation results demonstrate that the user clustering techniques designed attain a 85% performance gain over random clustering technique and demonstrating the benefits of the algorithm designed for mmWave NOMA networks
A 3D Sparse Autoencoder for Fully Automated Quality Control of Affine Registrations in Big Data Brain MRI Studies
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