Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science
Overview
Works:  2,062 works in 2,072 publications in 1 language and 2,081 library holdings 

Genres:  Conference proceedings 
Roles:  Funder 
Classifications:  TK5102.5, 621.38 
Publication Timeline
.
Most widely held works about
Massachusetts Institute of Technology
 The electron and the bit : electrical engineering and computer science at the Massachusetts Institute of Technology, 19022002 ( Book )
 Crosstalk ( )
 The Joy of six ( )
 The VI3 Program : a brief guide for students and counselors by John Guttag John Guttag( Book )
 Department of Electrical Engineering and Computer Science : VIA Internship Program, cooperating company brochure ( Book )
 Report of the ad hoc Committee on Undergraduate Enrollment in Course VI by Massachusetts Institute of TechnologyMassachusetts Institute of Technology( Book )
 Collection of Digital Equipment Corporation PDP1 computer materials ( )
 The Alternate guide to Course Six : as of May 10, 1984 ( Book )
 Oral history interview with J. F. Traub by J. F Traub J. F Traub( )
 Oral history interview with Robert E. Mumma by Robert E Mumma Robert E Mumma( )
 Papers by Walter A Rosenblith Walter A Rosenblith( Book )
 The joy of six ( Book )
 Papers by Karl L Wildes Karl L Wildes( )
 Records by Massachusetts Institute of TechnologyMassachusetts Institute of Technology( )
 Papers by Richard B Adler Richard B Adler( )
more
fewer
Most widely held works by
Massachusetts Institute of Technology
Magnetic circuits and transformers a first course for power and communication engineers
(
)
1 edition published in 1977 in English and held by 71 WorldCat member libraries worldwide
1 edition published in 1977 in English and held by 71 WorldCat member libraries worldwide
The 1994 Applied Superconductivity Conference : the Boston Marriott Copley Place, Boston, Massachusetts, October 1621, 1994
by Applied Superconductivity Conference(
Book
)
1 edition published in 1995 in English and held by 10 WorldCat member libraries worldwide
1 edition published in 1995 in English and held by 10 WorldCat member libraries worldwide
Variablereluctance motor drives for electric vehicle propulsion : final report
by
Jeffrey Lang(
Book
)
1 edition published in 1985 in English and held by 4 WorldCat member libraries worldwide
1 edition published in 1985 in English and held by 4 WorldCat member libraries worldwide
Digital signal processing and control and estimation theory : points of tangency, areas of intersection, and parallel directions
by
Alan S Willsky(
Book
)
2 editions published in 1977 in English and held by 3 WorldCat member libraries worldwide
2 editions published in 1977 in English and held by 3 WorldCat member libraries worldwide
A submarine electric propulsion system with large hub propeller
by Michael Scott Hamner(
Book
)
1 edition published in 1983 in English and held by 3 WorldCat member libraries worldwide
Traditional submarine propulsion systems consist of a prime mover such as a steam turbine, a gear reduction unit, a shaft, thrust and journal bearings coupled to the propeller. This system severely volume limits the submarine as it requires precise alignment of equipment. It also requires a mechanically complex shaft sealing system. A novel scheme is proposed which utilizes a large hub propeller mounted forward of the control surfaces and powered by a seawatercooled inverted induction motor mounted around the exterior of the hull. This system also promises to reduce propeller noise and increase low speed maneuverability. Computer analysis of the electric motor design is achieved
1 edition published in 1983 in English and held by 3 WorldCat member libraries worldwide
Traditional submarine propulsion systems consist of a prime mover such as a steam turbine, a gear reduction unit, a shaft, thrust and journal bearings coupled to the propeller. This system severely volume limits the submarine as it requires precise alignment of equipment. It also requires a mechanically complex shaft sealing system. A novel scheme is proposed which utilizes a large hub propeller mounted forward of the control surfaces and powered by a seawatercooled inverted induction motor mounted around the exterior of the hull. This system also promises to reduce propeller noise and increase low speed maneuverability. Computer analysis of the electric motor design is achieved
Onedimensional processing for adaptive image restoration
by
Philip Chan(
Book
)
1 edition published in 1984 in English and held by 3 WorldCat member libraries worldwide
A onedimensional (1D) approach to the problem of adaptive image restoration is presented. In this approach, we use a cascade of four 1D adaptive filters oriented in the four major correlation directions of the image, with each filter treating the image as a 1D signal. The objective of this 1D approach is to improve the performance of the more general twodimensional (2D) approach. This differs considerably from previous 1D approaches, the objectives of which have typically been to approximate a more general 2D approach for computational reasons and not to improve its performance. The main advantage of this new 1D approach is its capability to preserve edges in the image while removing noise in all regions of the image, including the edge regions. To illustrate this point, the approach is applied to existing 2D image restoration algorithms. Experimental results with images degraded by additive white noise at various SNRs (signal to noise ratios) are presented. Further examples illustrate the application of 1D restoration techniques based on this approach to images degraded by blurring and additive white noise and images degraded by multiplicative noise. Another example shows its usefulness in the reduction of quantization noise in pulse code modulation image coding
1 edition published in 1984 in English and held by 3 WorldCat member libraries worldwide
A onedimensional (1D) approach to the problem of adaptive image restoration is presented. In this approach, we use a cascade of four 1D adaptive filters oriented in the four major correlation directions of the image, with each filter treating the image as a 1D signal. The objective of this 1D approach is to improve the performance of the more general twodimensional (2D) approach. This differs considerably from previous 1D approaches, the objectives of which have typically been to approximate a more general 2D approach for computational reasons and not to improve its performance. The main advantage of this new 1D approach is its capability to preserve edges in the image while removing noise in all regions of the image, including the edge regions. To illustrate this point, the approach is applied to existing 2D image restoration algorithms. Experimental results with images degraded by additive white noise at various SNRs (signal to noise ratios) are presented. Further examples illustrate the application of 1D restoration techniques based on this approach to images degraded by blurring and additive white noise and images degraded by multiplicative noise. Another example shows its usefulness in the reduction of quantization noise in pulse code modulation image coding
Submicron and nanometerstructures technology
by
H. I Smith(
Book
)
1 edition published in 1994 in English and held by 3 WorldCat member libraries worldwide
1 edition published in 1994 in English and held by 3 WorldCat member libraries worldwide
OverCite : a cooperative digital research library
by Jeremy Stribling(
Book
)
1 edition published in 2005 in English and held by 2 WorldCat member libraries worldwide
CiteSeer is a wellknown online resource for the computer science research community, allowing users to search and browse a large archive of research papers. Unfortunately, its current centralized incarnation is costly to run. Although members of the community would presumably be willing to donate hardware and bandwidth at their own sites to assist CiteSeer, the current architecture does not facilitate such distribution of resources. OverCite is a design for a new architecture for a distributed and cooperative research library based on a distributed hash table (DHT). The new architecture harnesses donated resources at many sites to provide document search and retrieval service to researchers worldwide. A preliminary evaluation of an initial OverCite prototype shows that it can service more queries per second than a centralized system, and that it increases total storage capacity by a factor of n/4 in a system of n nodes. OverCite can exploit these additional resources by supporting new features such as document alerts, and by scaling to larger data sets
1 edition published in 2005 in English and held by 2 WorldCat member libraries worldwide
CiteSeer is a wellknown online resource for the computer science research community, allowing users to search and browse a large archive of research papers. Unfortunately, its current centralized incarnation is costly to run. Although members of the community would presumably be willing to donate hardware and bandwidth at their own sites to assist CiteSeer, the current architecture does not facilitate such distribution of resources. OverCite is a design for a new architecture for a distributed and cooperative research library based on a distributed hash table (DHT). The new architecture harnesses donated resources at many sites to provide document search and retrieval service to researchers worldwide. A preliminary evaluation of an initial OverCite prototype shows that it can service more queries per second than a centralized system, and that it increases total storage capacity by a factor of n/4 in a system of n nodes. OverCite can exploit these additional resources by supporting new features such as document alerts, and by scaling to larger data sets
Physical mechanisms of cellular injury in electrical trauma
by Diane C Gaylor(
Book
)
1 edition published in 1989 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 1989 in English and held by 2 WorldCat member libraries worldwide
Addendum to AIDS79 user's manual
by Paul Penfield(
Book
)
2 editions published in 1980 in English and held by 2 WorldCat member libraries worldwide
2 editions published in 1980 in English and held by 2 WorldCat member libraries worldwide
Organic optoelectronic devices
(
Visual
)
1 edition published in 2000 in English and held by 2 WorldCat member libraries worldwide
Topics discussed are the operation and the underlying physics of most recently developed active organic optoelectronic devices including photodetectors, solar cells, transistors, lasers, and lightemitting devices
1 edition published in 2000 in English and held by 2 WorldCat member libraries worldwide
Topics discussed are the operation and the underlying physics of most recently developed active organic optoelectronic devices including photodetectors, solar cells, transistors, lasers, and lightemitting devices
A comparative evaluation of two acoustic signal dereverberation techniques
by James Bruce Gallemore(
Book
)
1 edition published in 1976 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 1976 in English and held by 2 WorldCat member libraries worldwide
NonRayleigh scattering by a randomly oriented elongated scatterer
by Saurav Bhatia(
Book
)
1 edition published in 2012 in English and held by 2 WorldCat member libraries worldwide
The echo statistics of a randomly rough, randomly oriented prolate spheroid that is randomly located in a beampattern are investigated from physicsbased principles both analytically and by Monte Carlo methods. This is a directpath geometry in which reflections from neighboring boundaries are not a factor. The center of the prolate spheroid is assumed to be confined to the plane containing the MRA (maximum response axis). Additionally, the rotation of the prolate spheroid is assumed to always be in this plane. The statistics and, in particular, the tails of the probability density function (PDF) and probability of false alarm (PFA) are shown to be strongly nonRayleigh and a strong function of shape of scatterer. The tails are shown to increase above that associated with a Rayleigh distribution with increasing degree of elongation (aspect ratio) of the scatterer and when roughness effects are introduced. And, as also shown in previous studies, the effects associated with the scatterer being randomly located in the beam contribute to the nonRayleigh nature of the echo. The analytically obtained results are compared to Monte Carlo simulations for verification
1 edition published in 2012 in English and held by 2 WorldCat member libraries worldwide
The echo statistics of a randomly rough, randomly oriented prolate spheroid that is randomly located in a beampattern are investigated from physicsbased principles both analytically and by Monte Carlo methods. This is a directpath geometry in which reflections from neighboring boundaries are not a factor. The center of the prolate spheroid is assumed to be confined to the plane containing the MRA (maximum response axis). Additionally, the rotation of the prolate spheroid is assumed to always be in this plane. The statistics and, in particular, the tails of the probability density function (PDF) and probability of false alarm (PFA) are shown to be strongly nonRayleigh and a strong function of shape of scatterer. The tails are shown to increase above that associated with a Rayleigh distribution with increasing degree of elongation (aspect ratio) of the scatterer and when roughness effects are introduced. And, as also shown in previous studies, the effects associated with the scatterer being randomly located in the beam contribute to the nonRayleigh nature of the echo. The analytically obtained results are compared to Monte Carlo simulations for verification
Physically constrained maximum likelihood (PCML) mode filtering and its application as a preprocessing method for underwater acoustic communication
by Joseph C Papp(
Book
)
1 edition published in 2009 in English and held by 2 WorldCat member libraries worldwide
Mode filtering is most commonly implemented using the sampled mode shape or pseudoinverse algorithms. Buck et al [1] placed these techniques in the context of a broader maximum a posteriori (MAP) framework. However, the MAP algorithm requires that the signal and noise statistics be known a priori. Adaptive array processing algorithms are candidates for improving performance without the need for a priori signal and noise statistics. A variant of the physically constrained, maximum likelihood (PCML) algorithm [2] is developed for mode filtering that achieves the same performance as the MAP mode filter yet does not need a priori knowledge of the signal and noise statistics. The central innovation of this adaptive mode filter is that the received signal's sample covariance matrix, as estimated by the algorithm, is constrained to be that which can be physically realized given a modal propagation model and an appropriate noise model. The first simulation presented in this thesis models the acoustic pressure field as a complex Gaussian random vector and compares the performance of the pseudoinverse, reduced rank pseudoinverse, sampled mode shape, PCML minimum power distortionless response (MPDR), PCMLMAP, and MAP mode filters. The PCMLMAP filter performs as well as the MAP filter without the need for a priori data statistics. The PCMLMPDR filter performs nearly as well as the MAP filter as well, and avoids a sawtooth pattern that occurs with the reduced rank pseudoinverse filter. The second simulation presented models the underwater environment and broadband communication setup of the Shallow Water 2006 (SW06) experiment
1 edition published in 2009 in English and held by 2 WorldCat member libraries worldwide
Mode filtering is most commonly implemented using the sampled mode shape or pseudoinverse algorithms. Buck et al [1] placed these techniques in the context of a broader maximum a posteriori (MAP) framework. However, the MAP algorithm requires that the signal and noise statistics be known a priori. Adaptive array processing algorithms are candidates for improving performance without the need for a priori signal and noise statistics. A variant of the physically constrained, maximum likelihood (PCML) algorithm [2] is developed for mode filtering that achieves the same performance as the MAP mode filter yet does not need a priori knowledge of the signal and noise statistics. The central innovation of this adaptive mode filter is that the received signal's sample covariance matrix, as estimated by the algorithm, is constrained to be that which can be physically realized given a modal propagation model and an appropriate noise model. The first simulation presented in this thesis models the acoustic pressure field as a complex Gaussian random vector and compares the performance of the pseudoinverse, reduced rank pseudoinverse, sampled mode shape, PCML minimum power distortionless response (MPDR), PCMLMAP, and MAP mode filters. The PCMLMAP filter performs as well as the MAP filter without the need for a priori data statistics. The PCMLMPDR filter performs nearly as well as the MAP filter as well, and avoids a sawtooth pattern that occurs with the reduced rank pseudoinverse filter. The second simulation presented models the underwater environment and broadband communication setup of the Shallow Water 2006 (SW06) experiment
A learning approach to personalized information filtering submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Master of Science in computer science and engineering at the Massachusetts Institute of Technology
by Beerud Dilip Sheth(
Book
)
2 editions published in 1994 in English and held by 2 WorldCat member libraries worldwide
2 editions published in 1994 in English and held by 2 WorldCat member libraries worldwide
Artwork analysis tools for VLSI circuits
by
C. M Baker(
Book
)
1 edition published in 1980 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 1980 in English and held by 2 WorldCat member libraries worldwide
Temporal surface reconstruction
by Joachim Heel(
Book
)
1 edition published in 1991 in English and held by 2 WorldCat member libraries worldwide
This representation is maintained over time by a stochastic recursive estimator, the Kalman filter. The estimator consists of two stages which are repeated for each new arriving image. The update stage improves the current depth estimate by incorporating the latest image measurement. It depends on the particular visual mechanism being employed and amounts to an iterative relaxation algorithm similar to conventional singleframe algorithms. The prediction stage transforms the current depth estimate into the next timestep to account for changes in the depth values that may occur if the camera moves relative to the (rigid) scene during the acquisition of the sequence
1 edition published in 1991 in English and held by 2 WorldCat member libraries worldwide
This representation is maintained over time by a stochastic recursive estimator, the Kalman filter. The estimator consists of two stages which are repeated for each new arriving image. The update stage improves the current depth estimate by incorporating the latest image measurement. It depends on the particular visual mechanism being employed and amounts to an iterative relaxation algorithm similar to conventional singleframe algorithms. The prediction stage transforms the current depth estimate into the next timestep to account for changes in the depth values that may occur if the camera moves relative to the (rigid) scene during the acquisition of the sequence
Directform adaptive equalization for underwater acoustic communication
by Atulya Yellepeddi(
Book
)
1 edition published in 2012 in English and held by 2 WorldCat member libraries worldwide
Adaptive equalization is an important aspect of communication systems in various environments. It is particularly important in underwater acoustic communication systems, as the channel has a long delay spread and is subject to the effects of time varying multipath fading and Doppler spreading. The design of the adaptation algorithm has a profound influence on the performance of the system. In this thesis, we explore this aspect of the system. The emphasis of the work presented is on applying concepts from inference and decision theory and information theory to provide an approach to deriving and analyzing adaptation algorithms. Limited work has been done so far on rigorously devising adaptation algorithms to suit a particular situation, and the aim of this thesis is to concretize such efforts and possibly to provide a mathematical basis for expanding it to other applications. We derive an algorithm for the adaptation of the coefficients of an equalizer when the receiver has limited or no information about the transmitted symbols, which we term the SoftDecision Directed Recursive Least Squares algorithm. We will demonstrate connections between the ExpectationMaximization (EM) algorithm and the Recursive Least Squares algorithm, and show how to derive a computationally efficient, purely recursive algorithm from the optimal EM algorithm. Then, we use our understanding of Markov processes to analyze the performance of the RLS algorithm in harddecision directed mode, as well as of the SoftDecision Directed RLS algorithm. We demonstrate scenarios in which the adaptation procedures fail catastrophically, and discuss why this happens. The lessons from the analysis guide us on the choice of models for the adaptation procedure. We then demonstrate how to use the algorithm derived in a practical system for underwater communication using turbo equalization. As the algorithm naturally incorporates soft information into the adaptation process, it becomes easy to fit it into a turbo equalization framework. We thus provide an instance of how to use the information of a turbo equalizer in an adaptation procedure, which has not been very well explored in the past. Experimental data is used to prove the value of the algorithm in a practical context
1 edition published in 2012 in English and held by 2 WorldCat member libraries worldwide
Adaptive equalization is an important aspect of communication systems in various environments. It is particularly important in underwater acoustic communication systems, as the channel has a long delay spread and is subject to the effects of time varying multipath fading and Doppler spreading. The design of the adaptation algorithm has a profound influence on the performance of the system. In this thesis, we explore this aspect of the system. The emphasis of the work presented is on applying concepts from inference and decision theory and information theory to provide an approach to deriving and analyzing adaptation algorithms. Limited work has been done so far on rigorously devising adaptation algorithms to suit a particular situation, and the aim of this thesis is to concretize such efforts and possibly to provide a mathematical basis for expanding it to other applications. We derive an algorithm for the adaptation of the coefficients of an equalizer when the receiver has limited or no information about the transmitted symbols, which we term the SoftDecision Directed Recursive Least Squares algorithm. We will demonstrate connections between the ExpectationMaximization (EM) algorithm and the Recursive Least Squares algorithm, and show how to derive a computationally efficient, purely recursive algorithm from the optimal EM algorithm. Then, we use our understanding of Markov processes to analyze the performance of the RLS algorithm in harddecision directed mode, as well as of the SoftDecision Directed RLS algorithm. We demonstrate scenarios in which the adaptation procedures fail catastrophically, and discuss why this happens. The lessons from the analysis guide us on the choice of models for the adaptation procedure. We then demonstrate how to use the algorithm derived in a practical system for underwater communication using turbo equalization. As the algorithm naturally incorporates soft information into the adaptation process, it becomes easy to fit it into a turbo equalization framework. We thus provide an instance of how to use the information of a turbo equalizer in an adaptation procedure, which has not been very well explored in the past. Experimental data is used to prove the value of the algorithm in a practical context
New architecture for RF power amplifier linearization
by Hyun H Boo(
Book
)
1 edition published in 2009 in English and held by 2 WorldCat member libraries worldwide
Power amplifier linearization has become an important part of the transmitter system as 3G and developing 4G communication standards require higher linearity than ever before. The thesis proposes two power amplifier linearization solutions : twopoint architecture and adaptive digital predistortion using a [delta sigma] modulator for automatic inversion of power amplifier nonlinearity. Twopoint architecture can be seen as a solution that extends the linearization bandwidth of the traditional feedback architecture while also offering decent digital predistortion linearization at much higher frequencies as well. It overcomes the bandwidth problem by combining Cartesian feedback and digital predistortion. As the Cartesian feedback loses its loop gain in high frequencies, the predistorted signal gradually takes over the linearization role. Effectively, this increases the operation bandwidth of the Cartesian feedback and allows wideband transmission. For digital predistortion, the complexity involved in the implementation of adaptive algorithm and convergence issues in the lookup table training has limited its application in handset devices. Predistortion using a [delta sigma] modulator presented in this work eliminates these problems as it is based on openloop lookup table training and does not require adaptive algorithm
1 edition published in 2009 in English and held by 2 WorldCat member libraries worldwide
Power amplifier linearization has become an important part of the transmitter system as 3G and developing 4G communication standards require higher linearity than ever before. The thesis proposes two power amplifier linearization solutions : twopoint architecture and adaptive digital predistortion using a [delta sigma] modulator for automatic inversion of power amplifier nonlinearity. Twopoint architecture can be seen as a solution that extends the linearization bandwidth of the traditional feedback architecture while also offering decent digital predistortion linearization at much higher frequencies as well. It overcomes the bandwidth problem by combining Cartesian feedback and digital predistortion. As the Cartesian feedback loses its loop gain in high frequencies, the predistorted signal gradually takes over the linearization role. Effectively, this increases the operation bandwidth of the Cartesian feedback and allows wideband transmission. For digital predistortion, the complexity involved in the implementation of adaptive algorithm and convergence issues in the lookup table training has limited its application in handset devices. Predistortion using a [delta sigma] modulator presented in this work eliminates these problems as it is based on openloop lookup table training and does not require adaptive algorithm
A channel subspace postfiltering approach to adaptive equalization
by Rajesh Rao Nadakuditi(
Book
)
1 edition published in 2002 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2002 in English and held by 2 WorldCat member libraries worldwide
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fewer
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Related Identities
 Massachusetts Institute of Technology Center for Advanced Educational Services
 Massachusetts Institute of Technology Research Laboratory of Electronics
 Sloan School of Management
 Haus, Hermann A. Author
 Massachusetts Institute of Technology Department of Physics
 Leaders for Global Operations Program
 Woods Hole Oceanographic Institution
 Joint Program in Applied Ocean Science and Engineering
 Massachusetts Institute of Technology Department of Electrical Engineering
 Massachusetts Institute of Technology Department of Ocean Engineering
Associated Subjects
Acoustic models CarnegieMellon University.Computer Science Department Columbia University.Department of Computer Science Computer scienceStudy and teaching Computer scienceStudy and teaching (Higher) Computer vision Control theory CytologyResearch EckertMauchly Computer Corporation (Philadelphia, Pa.) Educational fund raising Electrical engineeringStudy and teaching Electrical engineeringStudy and teaching (Higher) Electric driving Electric shockPhysiological effect Electric transformers Electronic industriesAutomation Estimation theory Federal aid to higher education Image processing Integrated circuitsLarge scale integration Integrated circuitsLarge scale integrationDesign and construction Magnetic materials Magnetism MassachusettsCambridge Massachusetts Institute of Technology.Department of Electrical Engineering and Computer Science Mathematical models Micromechanics Microstructure Monte Carlo methodComputer programs NCR Corporation Office equipment and supplies industry Optical character recognition devices Optical data processing Optical materials Optoelectronic devices Organic compoundsOptical properties Reluctance motors Seismometers Signal processing Signal processingDigital techniques SoundReverberation Students Superconductivity Superconductors Underwater acoustics Underwater acousticsMathematical models United States United States.Advanced Research Projects Agency United States.Office of Scientific Research and Development.National Defense Research Committee Watson Scientific Computing Laboratory
Alternative Names
Massachusetts Institute of Technology
Massachusetts Institute of Technology. Department of Electrical Engineering
E.E.C.S.
EECS
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science
Languages