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检索条件"主题词=Signal processing algorithms"

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The VEGA moderately parallel MIMD, moderately parallel SIMD, architecture for high performance array signal processing

The VEGA moderately parallel MIMD, moderately parallel SIMD,...

引用

International Symposium on Parallel processing

作者： M. Taveniku A. Ahlander M. Jonsson B. Svensson Ericsson Microwave Systems AB Molndal Sweden Department of Computer Engineering Chalmers University of Technology Gothenburg Sweden Centre for Computer Systems Architecture Halmstad University Halmstad Sweden

In array radar signal processing applications, the processing demands range from tens of GFLOPS to several TFLOPS. To address this, as well as the, size and power dissipation issues, a special purpose "array signal processing" architecture is proposed. We argue that a combined MIMD-SIMD system can give flexibility, scalability, and programmability as well as high computing density. The MIMD system level, where SIMD modules are interconnected by a fiber-optic real-time network, provides the high level flexibility while the SIMD module level provides the compute density. In this paper we evaluate different design alternatives and show how the VEGA architecture was derived. By examining the applications and the algorithms used, the SIMD mesh processor is found be sufficient. However, the smaller the meshes are the better is the flexibility and efficiency. Then, based on prototype VLSI implementations and on instruction statistics, we find that a relatively large pipelined processing element maximises the performance per area. It is thereby concluded that the small SIMD mesh processor array with powerful processing elements is the best choice. These observations are further exploited in the design of the single-chip SIMD processor array to be included in the MIMD-style overall system. The system scales from 6.4 GFLOPS to several TFLOPS peak performance.

关键词： Computer architecture Radar signal processing Power dissipation signal processing Scalability Power system interconnection Real time systems Computer networks signal processing algorithms Prototypes

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The role of passivity and losslessness in multidimensional digital signal processing-new challenges

The role of passivity and losslessness in multidimensional d...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： A. Fettweis Department of Electrical Engineering Ruhr Universität Bochum Bochum Germany

It is suggested that specified robustness criteria and the sensitivity requirement in multidimensional signal processing can be satisfied using a design based on concepts of passivity (including incremental passivity) and losslessness. The resulting algorithms represent what can be called discrete passive dynamical systems. The underlying principles are the same for multidimensional (MD) wave digital filters, and, adopting some plausible assumptions, it appears that there does not exist any other way to generate useful 1-D or MD discrete passive dynamical systems. A wide field of new applications has been opened up recently by applying these principles to numerical integration of partial differential equations. It is shown how the principles presented can be applied to various types of electrical partial differential equations (including Maxwell's equations) and to the partial differential equations of acoustics.< >

关键词： Multidimensional signal processing signal processing signal processing algorithms Robustness Digital filters Arithmetic Digital signal processing Multidimensional systems Quantization Partial differential equations

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signal processing challenges for future wireless communications

Signal processing challenges for future wireless communicati...

引用

International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Ralf Irmer Stanley Chia Vodafone Group Newbury UK

The mobile Internet has finally arrived with the sky-rocketing usage increase of HSPA. LTE, WiMAX and evolved WiFi are the upcoming wireless standards which are based on OFDM and MIMO. The mentioned standards have already started the evolution process with LTE-advanced, IEEE 802.16m and IEEE 802.11n. New technology building blocks are on its way like cooperative MIMO, relaying and self-organizing networks. Increase of data-rate is one target, but the energy consumption both on the terminal and network side are important as well. This paper discusses the challenges imposed by developments in the wireless industry. Advanced signal processing can play a major role in addressing these challenges.

关键词： signal processing Wireless communication MIMO Energy consumption Delay Costs Downlink signal processing algorithms Batteries Channel estimation

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Soft Computing signal processing for Health Monitoring of Tie-Bar of Rotor Head Structure

Soft Computing Signal Processing for Health Monitoring of Ti...

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Intelligent Sensors, Sensor Networks and Information processing Conference (ISSNIP)

作者： P. J. Escamilla-Ambrosio N. Lieven Department of AeroSpace Engineering University of Bristol Bristol UK

The need for robust health monitoring and prognostics of structural components in remote or difficult-to-access locations, e.g. helicopter rotor-head structure, is driving the advancement of wireless intelligent sensor devices (WISD). Damage detection techniques, combined with advanced signal processing, are the core components of a structural health monitoring (SHM) system. In this context, feature extraction is an essential component of a SHM system that converts raw sensor data into useful information about the structure health condition. The level of signal processing that can be performed in a WISD depends on the capability of the processing element in terms of speed, memory and energy consumption. But the real bottleneck for energy efficiency is the fact that communications dominate the WISD energy consumption. Therefore, running intelligent local data interrogation algorithms on-board the WISD is a mechanism through which considerable battery power can be preserved. In that sense, in this paper a soft histogram feature extraction algorithm is developed to extract damage-sensitive information from measured response data of tie-bar component of the main rotor hub of a Lynx helicopter. In addition, a method for pattern recognition and critical degradation detection of tie-bar is proposed based on the extracted features and a combination of statistical process control and fuzzy sets theory. Results show the applicability of the proposed approaches.

关键词： signal processing Remote monitoring Feature extraction signal processing algorithms Helicopters Intelligent sensors Energy consumption Data mining Robustness Wireless sensor networks

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Quantum signal processing Based Grover's Adaptative Search Oracle for High Order Unconstrained Binary Optimization Problems

Quantum Signal Processing Based Grover's Adaptative Search O...

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Quantum Computing and Engineering (QCE), IEEE International Conference on

作者： Robin OLLIVE Stephane LOUISE Université Paris-Saclay CEA List Palaiseau France

ISBN: (数字)9798331541378

ISBN: (纸本)9798331541385

Grover's Adaptative Search (GAS) algorithm combined with the High Order Binary Optimization (HOBO) oracle proposal is currently the Fault Tolerant Quantum Computer (FTQC)'s main algorithm to solve binary optimization problems. In this paper, we propose a new way to obtain the Grover's oracle needed which is costless in terms of gates and ancilla qubits. This oracle proposal also has zero additional costs linked to decimal numbers of the problem weights and a very small overcost due to high order problems with respect to the other proposals. Nevertheless, it cannot be easily adapted to constrained problems. This new oracle is based on a completely different approach, which uses Quantum signal processing (QSP) techniques and amplitude encoding. This method can also be described in the Quantum Singular Value Transformation (QSVT) framework as a variant of eigenstate search algorithms. Our oracle combines the benefits of both the QSVT amplitude encoding of the problem and GAS strategies to seek eigenvalues.

关键词： Filtering Qubit signal processing algorithms signal processing Logic gates Search problems Encoding Proposals Optimization Genetic algorithms

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2-D interpolation, matrix factorization and applications to signal processing

2-D interpolation, matrix factorization and applications to ...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： J.E. Diamessis C.W. Therrien National and Technical University of Athens Athens Greece Naval Postgraduate School Monterrey CA USA

A method for solving a class of 2-D interpolation problems is presented. The method is not restricted to uniform interpolation points and has the attractive features of recursive computability and permanence of the solution. By combining two different approaches to the problem, the authors obtained the LU decomposition of the interpolation matrix without having to check the nonsingularity of submatrices. This decomposition gives the computational advantage of reducing the original problem to the solution of two triangular systems. The method can be used for the design of 1-D and 2-D FIR (finite-impulse response) filters.< >

关键词： Interpolation signal processing Polynomials Design methodology Finite impulse response filter Frequency Mathematics Electrical engineering signal processing algorithms Equations

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A Review of Spectral Estimation in Underwater Acoustic signal processing

A Review of Spectral Estimation in Underwater Acoustic Signa...

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IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC)

作者： Chao Peng International School of Microelectronics Dongguan University of Technology DongGuan China

ISBN: (纸本)9781665479691

This paper first introduces the direct method of classical power spectrum estimation, and then proposes two improved classical power spectrum estimation methods: Welch Method and MultiTaper (MTM) Method. Then the Maximum Entropy Spectral Estimation (based on Burg) in parametric spectral estimation is introduced. Then the power spectrum is extended in the spatial domain, and two kinds of spatial spectrum estimation methods, MUSIC Method and ESPRIT method, and their improved algorithms are introduced. All of the above methods have been simulated in Matlab environment. We have compared various spectrum estimation methods in detail, and analyzed and summarized their respective advantages and disadvantages. Finally, the paper points out the shortcomings of current power spectrum estimation and the future development direction.

关键词： Estimation signal processing algorithms Process control signal processing Entropy Multiple signal classification Information management

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Software structure for a distributed signal processing system

Software structure for a distributed signal processing syste...

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： J. Glass J. Hepp Equipment Division Wayland Raytheon Company MA USA

The emphasis was to develop an architecture that can support a distributed implementation while maintaining a bound on the nontransparent overhead. The solution partitions the software functions in correspondence with the hardware modules within a processing Element. Thus the use of rotating memory sections permits concurrent inputting of new data, processing of current data, and outputting of previous data. A specific example illustrates the design features.

关键词： signal processing Computer architecture Monitoring Resource management Protocols Fault detection Glass Hardware Software algorithms signal processing algorithms

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The role of signal processing in revolutionary capabilities

The role of signal processing in revolutionary capabilities

引用

The IEEE Adaptive Systems for signal processing, Communications, and Control Symposium AS-SPCC

作者： D.M. Etter Department of Defense Deputy Under Secretary of Defense for Science and Technology Washington D.C. DC USA

signal processing is a critical component of many of the systems that provide revolutionary capabilities to the Department of Defense. Discussed in this paper are some of the current research programs in hyperspectral imaging, automatic target recognition, and moving target indicators. This research leads to new capabilities to enhance national security.

关键词： signal processing Hyperspectral sensors Hyperspectral imaging Layout signal processing algorithms Radar signal processing Adaptive signal processing Array signal processing Optical signal processing Remote sensing

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RLSTAP algorithm development tool for analysis of advanced signal processing techniques

RLSTAP algorithm development tool for analysis of advanced s...

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Asilomar Conference on signals, Systems & Computers

作者： M.L. Pugh P.A. Zulch USAF Rome Laboratory/OCSA Rome NY USA

Space time adaptive processing (STAP) has been identified as a key enabling technology for the detection of small targets in the presence of severe clutter and jamming. It is therefore important to develop simulation and analysis tools which accurately model advanced STAP architectures in realistic operational environments and to evaluate evolving system technologies prior to large development programs. This paper describes a user-friendly simulation capability, developed under the ARPA Mountaintop program, which can be used to assess the performance of evolving adaptive processing technologies for advanced airborne surveillance systems.

关键词： signal processing algorithms signal analysis Algorithm design and analysis Radar antennas Clutter Jamming Radar measurements Receiving antennas Space technology Atmospheric modeling

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