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A High-Performance Memory-Efficient parallel Hardware for Matrix Computation in Signal processing Applications

A High-Performance Memory-Efficient Parallel Hardware for Ma...

引用

International Symposium on Communications and Information Technologies (ISCIT)

作者： Ardavan Pedram Masoud Daneshtalab Nasser Sedaghati-Mokhtari Sied Mehdi Fakhraie Silicon Intelligence and VLSI Signal Processing Laboratory School of Electrical and Computer Engineering University of Tehran Tehran Iran

This paper introduces a new versatile and high-performance parallel hardware engine for matrix computations. The proposed architecture reduces memory bandwidth by taking advantage of data redundancies and employing distributed memory structures. It is designed to better utilize the on chip area for computing different types of matrix computations such as matrix power, multiplication, and inversion. The matrix power presented in this paper is proven to be two times faster than normal computations. As well, the architecture is optimized to suitably perform least square computations in signal processing applications. The synthesis results on FPGA platforms indicate that the proposed architecture can operate in 75 MHz for 16 bit word length and the peak attained performance is about 2400 MMAC operations with 32 concurrent MAC modules

关键词： Hardware Concurrent computing Signal processing computer architecture Engines Memory architecture Bandwidth Least squares methods Signal synthesis Field programmable gate arrays

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ISA Extension to General Purpose Processors for Fuzzy and Genetic Algorithm Applications

ISA Extension to General Purpose Processors for Fuzzy and Ge...

引用

Conference of the North American Fuzzy Information processing Society - NAFIPS

作者： Abbas Banaiyan Mehdi Salmani Jelodar Sied Mehdi Fakhraie Silicon Intelligence and VLSI Signal Processing Laboratory School of Electrical and Computer Engineering University of Tehran Tehran Iran

The number of intelligent systems which use soft-computing methods in real-world applications is growing. General purpose processors (GPPs) are one selection of designers to implement intelligent systems. However, to accelerate the performance of them, an application-specific instruction set extension is added to the basic processor in some designs. In this paper, fuzzy logic and genetic algorithm (GA) applications are selected as two soft-computing techniques in the domain of intelligent systems which their supportive instructions are added to the architecture of LEON2 general purpose processor. The achieved results show great improvements in some intelligent applications' execution times. This ISA extension has added to the GPP's core an area with less than 6% overhead for fuzzy instructions and about 14% for GA instructions

关键词： Instruction sets Genetic algorithms Hardware Fuzzy logic Application software Intelligent systems Control systems computer architecture Fuzzy systems Acceleration

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Evolutionary Multiprocessor Task Scheduling

Evolutionary Multiprocessor Task Scheduling

引用

International Conference on parallel Computing in electrical engineering (PARLEC)

作者： F. Montazeri M. Salmani-Jelodar S.N. Fakhraie S.M. Fakhraie Silicon Intelligence and VLSI Signal Processing Laboratory School of Electrical and Computer Engineering University of Tehran Tehran Iran

The genetic algorithm has, to date, been applied to a wide range of problems. It is an ideal tool to solve problem in need of multiple, often interdependent requirements. This is because it has the ability to search within a large solution space while at the same time meeting criteria and constraints within the problem's boundaries. In this paper, we apply this heuristic to the problem of multiprocessor task scheduling - assigning a group of predefined tasks to a set of predefined processors. This task execution should take a minimum amount of time while taking into account certain constraints - e.g., prerequisite constraints between the tasks. Aside from using the genetic algorithm, we incorporate a local search method called a memetic within the genetic algorithm as a global search. Since the tasks are operating in a multiprocessor environment, we also attempt to reduce processor temperature by reducing the total power consumption and load balancing amongst the processors

关键词： Processor scheduling Optimal scheduling Temperature Genetic algorithms Load management Energy consumption parallel processing Operating systems Silicon Very large scale integration

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High SNR flexible top hat monopole probe for 1.5 T MRI

High SNR flexible top hat monopole probe for 1.5 T MRI

引用

作者： Mohammadzadeh, M. Shahabadi, M. Soltanian-Zadeh, H. Tavakoli, A. Rafiei, B. Javidnia, D. Oghabian, M.A. Department of Physics Amir-Kabir University of Technology Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States Department of Electrical Engineering Amir-Kabir University of Technology Tehran Iran Medical Imaging Center Imam Khomeyni Hospital Tehran Iran Research Center for Science and Technology in Medicine Tehran University of Medical Sciences Tehran Iran

In this paper, design principles and application of a thin and flexible intravascular top hat monopole probe with increased signal-to-noise ratio (SNR) and improved longitudinal and radial coverage are described and compared with the conventional monopole probe. The top hat probe is constructed by removing a segment of the shield of a coaxial cable. A flexible thin copper foil in contact with the inner conductor of the cable is added to the end section of the cable. The copper foil acts as an antenna top hat load increasing the uniformity of the current distribution on the probe and establishes a uniform region of SNR distribution around the probe. Improvement of the SNR distribution of the top hat probe relative to the conventional monopole probe is evaluated using quantitative indices. Experimental results show that for the top hat probe, the ratio of the maximum image SNR to its relative standard deviation (SR) is 2.73 times higher than that of a conventional probe. © 2006 IOP Publishing Ltd.

关键词： Medical imaging

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Support Vector Clustering Applied to Digital Communications

Support Vector Clustering Applied to Digital Communications

引用

International Joint Conference on Neural Networks (IJCNN)

作者： C.A.M. Lima R. Ferrari H. Knidel C. Junqueira R.R.F. Attux J.M.T. Romano F.J. Von Zuben Laboratory of Bioinformatics and Bio-inspired Computing (LBiC) School of Electrical and Computer Engineering (FEEC) State University of Campinas-UNICAMP Sao Paulo Brazil Laboratory of Signal Processing for Communications (DSPCom) School of Electrical and Computer Engineering (FEEC) State University of Campinas-UNICAMP Sao Paulo Brazil

Support vector clustering (SVC) is a recently proposed clustering methodology with promising performance for high-dimensional and noisy datasets, and for clusters with arbitrary shape. This work addresses the application of SVC, a kernel-based method, in a context in which the channel equalization problem is conceived as a clustering task. The main challenge, in this case, is to perform unsupervised clustering aiming at the design of an optimal Bayesian or a blind prediction-based receiver without resorting to a priori information about the transmission medium. The proposed technique employs a two-stage procedure -a combination between the use of SVC to obtain a first set of clusters and an auxiliary heuristic to help separating eventual multiple clouds contained in a single cluster and attribute centers to them via an iterated local search (ILS) algorithm. The obtained results indicate that kernel methods can be successfully applied to the field of signal processing.

关键词： Digital communication Static VAr compensators Signal processing algorithms Noise shaping Shape Context Bayesian methods Clouds Clustering algorithms Kernel

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Blind channel shortening for SIMO space-time channels using linear prediction in OFDM systems

Blind channel shortening for SIMO space-time channels using ...

引用

International Symposium on Telecommunications

作者： A. S. Menezes C. M. Panazio J. M. T. Romano Signal Processing for Communications Laboratory School of Electrical and Computer Engineering State University of Campinas Brazil Laboratory of Communications and Signals Faculty of Electrical Engineering Escola Politécnica da Universidade de São Paulo Brazil

In this paper, we make use of a blind adaptive linear predictor for channel shortening in single input multiple output (SIMO) channels. We compare our approach to the so-called MERRY blind channel shortener. We assess through simulations that our proposed approach provides faster convergence rate and it better exploits the spatio-temporal diversity present in the SIMO channels.

关键词： OFDM modulation Equalizers Fast Fourier transforms Convolution Receiving antennas Transmitting antennas Convergence Wireless LAN Digital video broadcasting Demodulation

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Who Moved?! An Investigation into Distribution of Actions and Behaviors in a Multi Agent System

Who Moved?! An Investigation into Distribution of Actions an...

引用

International Conference on Mechatronics (ICM)

作者： Roozbeh Daneshvar Caro Lucas Artificial Intelligence and Robotics Laboratory Faculty of Electrical and Computer Engineering University of Tehran Tehran Iran Center of Excellence for Control and Intelligent Processing Faculty of Electrical and Computer Engineering School of Intelligent Systems IPM University of Tehran Tehran Iran

In this paper we have considered systems in which agents communicate via their environment. In these systems the agents do not have direct and explicit communication with each other and instead they have implicit communication which is performed via the environment they are located in. Different kinds of environment elements are considered to be changed while on the other hand for all of these situations there is a change in the environment and this change means potential stimuli that fires behaviors of agents for future. It is considered that if we can find a track of changes in the environment and find the roots of a movement in an agent that is originally made by another agent of the group

关键词： Artificial intelligence Intelligent robots Fires Tracking Process control Communication system control Control systems Intelligent control Optical computing Intelligent systems

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An Efficient Early Termination Algorithm of Intra Prediction for H.264/AVC

An Efficient Early Termination Algorithm of Intra Prediction...

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International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Rui Yang Hong Lu Xiangyang Xue Yap-Peng Tan Shanghai Key Laboratory of Intelligent Information Processing Department of Computer Science & Engineering Fudan University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Singapore

We propose in this paper an efficient early termination algorithm of intra prediction for H.264/AVC. It uses the spatial correlation after 16times16 inter prediction to make the judgement on whether to discard intra prediction or not. Experimental results demonstrate that the proposed algorithm can save the encoding time of H.264/AVC (JM98) between 25-45% with negligible degradation in the quality

关键词： Prediction algorithms Automatic voltage control Lagrangian functions Partitioning algorithms Degradation Length measurement Video sequences Laboratories Information processing computer science

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The robot software communications architecture (RSCA): embedded middleware for networked service robots 06

The robot software communications architecture (RSCA): embed...

引用

International Symposium on parallel and Distributed processing (IPDPS)

作者： Seongsoo Hong Jaesoo Lee Hyeonsang Eom Gwangil Jeon Real-Time Operation Systems Laboratory School of Electrical Engineering and Computer Science Seoul National University of Technology Seoul South Korea Distributed Information Processing Laboratory School of Computer Science and Computer Engineering Seoul National University of Technology Seoul South Korea Department of Computer Engineering Korea Polytechnic University Siheung Gyeonggi South Korea

ISBN: (纸本)9781424400546

In this paper, we present a robot middleware technology named robot software communications architecture (RSCA) for its use in networked home service robots. The RSCA provides a standard operating environment for the robot applications together with a framework that expedites the development of such applications. The operating environment is comprised of a real-time operating system, a communication middleware, and a deployment middleware. Particularly, the deployment middleware supports the reconfiguration of component-based robot applications including installation, creation, start, stop, tear-down, and un-installation. In designing RSCA, we have adopted a middleware called SCA from the software defined radio domain and extend it since the original SCA lacks the real-time guarantees and appropriate event services. We have fully implemented RSCA and performed measurements to quantify its run-time performance. Our implementation clearly shows the viability of RSCA

关键词： Embedded software computer architecture Middleware Service robots Application software Standards development Real time systems Operating systems Software radio Performance evaluation

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A Hybrid Unsupervised Clustering Algorithm for Channel Equalization

A Hybrid Unsupervised Clustering Algorithm for Channel Equal...

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IEEE Workshop on Machine Learning for Signal processing

作者： Helder Knidel Rafael Ferrari Leonardo T. Duarte Ricardo Suyama Romis R. F. Attux Leandro Nunes De Castro Fernando Jose Von Zuben Joao Marcos T. Romano Laboratory of Bioinformatics and Bio-inspired Computing (LBiC)-School of Electrical and Computer Engineering (FEEC) State University of Campinas-UNICAMP Sao Paulo Brazil Laboratory of Signal Processing for Communications (DSPCom)-School of Electrical and Computer Engineering (FEEC) State University of Campinas-UNICAMP Sao Paulo Brazil Catholic University of Santos Sao Paulo Brazil

In this work, we propose and analyze the applicability of a novel unsupervised data clustering technique in the problem of channel equalization. The proposal combines two different methods, a neuro-immune network called RABNET [1] and the iterated local search algorithm (ILS) [2], to produce a tool that, in contrast to classical solutions like the k-means algorithm, does not require a priori knowledge about the number of clusters to be found and, moreover, possesses mechanisms to avoid local convergence. Simulation results attest both the viability and efficiency of the proposal in scenarios conceived to highlight certain aspects that can be decisive insofar as real-world applications are concerned.

关键词： Clustering algorithms Bayesian methods Signal processing algorithms Laboratories Data engineering Proposals Blind equalizers Bioinformatics Biomedical signal processing Signal analysis

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