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advanced signal-processing algorithms, architectures, and implementations

作者： Baik, Heung Ki Mathews, v.John Short, Robert T. Univ of Utah Salt Lake City United States

This paper presents two fast least-squares lattice algorithms for adaptive nonlinear filters equipped with bilinear system models. The first of the two approaches is an equation-error algorithm that uses the measured desired response signal directly to compute the adaptive filter outputs. This method is conceptually very simple;however, it will result in biased system models in the presence of measurement noise. The second approach is an approximate least-squares output-error solution. In this case, the past samples of the output of the adaptive system itself are used to produce the filter output at the current time. This approach is expected to reduce the effect of measurement noise on the behavior of the system. Results of several experiments that demonstrate and compare the properties of the adaptive bilinear filters are also presented in the paper.

关键词： Control Systems, Adaptive

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Addressing Fundamental Architectural Challenges of an Activity Based Intelligence and advanced Analytics (ABIAA) System 5

Addressing Fundamental Architectural Challenges of an Activi...

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Conference on Geospatial Informatics, Fusion, and Motion video Analytics v

作者： Yager, Kevin Albert, Thomas Brower, Bernard v. Pellechia, Matthew F. Exelis Inc Rochester NY 14606 USA

ISBN: (纸本)9781628415896

The domain of Geospatial Intelligence Analysis is rapidly shifting toward a new paradigm of Activity Based Intelligence (ABI) and information-based Tipping and Cueing. General requirements for an advanced ABIAA system present significant challenges in architectural design, computing resources, data volumes, workflow efficiency, data mining and analysis algorithms, and database structures. These sophisticated ABI software systems must include advanced algorithms that automatically flag activities of interest in less time and within larger data volumes than can be processed by human analysts. In doing this, they must also maintain the geospatial accuracy necessary for cross-correlation of multi-intelligence data sources. Historically, serial architectural workflows have been employed in ABIAA system design for tasking, collection, processing, exploitation, and dissemination. These simpler architectures may produce implementations that solve short term requirements;however, they have serious limitations that preclude them from being used effectively in an automated ABIAA system with multiple data sources. This paper discusses modern ABIAA architectural considerations providing an overview of an advanced ABIAA system and comparisons to legacy systems. It concludes with a recommended strategy and incremental approach to the research, development, and construction of a fully automated ABIAA system.

关键词： GEOINT geospatial architecture imaging workflow analytics activity based intelligence

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A Jacobi-like algorithm for computing the generalized Schur form of a regular pencil

A Jacobi-like algorithm for computing the generalized Schur ...

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advanced algorithms and architectures for signal processing Iv 1989

作者： Charlier, J.-P. van Dooren, P. Philips Research Laboratory A v. Van Becelaere 2 Box 8 BrusselsB-1170 Belgium

We develop a Jacobi-like scheme for computing the generalized Schur form of a regular pencil of matrices λB - A. The method starts with a preliminary triangularization of the matrix B and iteratively reduces A to triangular form, while maintaining B triangular. The scheme heavily relies on the technique of Stewart16 for computing the Schur form of an arbitrary matrix A. Just as Stewart's algorithm, this one can efficiently be implemented in parallel on a square array of processors. A quantitative analysis of the convergence of the method is also presented. This explains some of its peculiarities, and at the same time yields further insight in Stewart's algorithm. © 1989 SPIE. All rights reserved.

关键词： Iterative methods

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Systolic array for solving toeplitz systems of equations

Systolic array for solving toeplitz systems of equations

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advanced algorithms and architectures for signal processing III 1988

作者： Chun, J. Roychowdhury, v. Kailath, T. Information Systems Laboratory Stanford University StanfordCA94305 United States

Many problems of geophysics, image processing and time series analysis involve the problem of solving Toeplitz systems of equations. We present a fast parallel O (mn) algorithm that solves both square and over -determined Toeplitz systems of equations. The solution is obtained directly from the triangular factorization without using back -substitution. This avoids separate factorization and back -substitution sections, which complicate architectural implementation. This also enables us to eliminate intermediate memory to store the triangular factor. The parallel implementation is carried out in two steps. First, Regular Iterative algorithms (RIAs) for solving Toeplitz system of equations are formulated systematically from the mathematical description of our algorithm. The advantage of having RIAs is that the process of mapping the algorithms on regular processor arrays can be done in a systematic manner. © 1988 Proceedings of SPIE - The International Society for Optical Engineering. All rights reserved.

关键词： Time series analysis

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Tomographic techniques in image and signal processing

Tomographic techniques in image and signal processing

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advanced signal-processing algorithms, architectures, and implementations

作者： Snyder, Donald L. Washington Univ St. Louis United States

An iterative solution is given for solving deblurring problems having nonnegativity constraints through the use of methods motivated by tomographic imaging. After briefly reviewing three versions of tomographic-imaging problems, the paper indicates how methods that have proven to be powerful for the third version, weighted-integral tomography, can be applied to the more general deblurring problem when nonnegativity constraints are present.

关键词： signal processing

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SPECTRUM AWARENESS TECHNIQUES FOR 5G SATELLITE COMMUNICATIONS 23

SPECTRUM AWARENESS TECHNIQUES FOR 5G SATELLITE COMMUNICATION...

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23rd European signal processing Conference (EUSIPCO)

作者： Guidotti, A. Tarchi, D. Icolari, v. vanelli-Coralli, A. Corazza, G. E. Univ Bologna Dept Elect Elect & Informat Engn I-40136 Bologna Italy

ISBN: (纸本)9780992862633

5G communications will enable new paradigms architectures and services, and the integration of satellite and terrestrial networks can play a key role. Cognitive radios are seen as the most promising solution to dynamically cooperate, in order to exploit advanced frequency sharing techniques. To this end, efficient sensing techniques for spectrum awareness arc a must. In this paper, we provide preliminary results on energy detection (ED) and cyclostationary feature detection (CFD) algorithms applied to a downlink Ka-band scenario. These results show that coexistence between satellite and terrestrial networks is possible and cognitive radios can ease their integration in future 5G communications.

关键词： 5G Satellite Communications Cognitive Radio Spectrum Sensing

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Algorithm design for efficient implementation of coding and signal processing systems

Algorithm design for efficient implementation of coding and ...

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作者： Dai, Yongmei Lehigh University

学位级别：Ph.D.

advanced error control coding and signal processing techniques find wide applications in various communication systems, such as magnetic recording channels, fiber optical channels, wireline and wireless communication systems. Low-density parity-check (LDPC) codes and multiple-multiple-output (MIMO) technology have been receiving a lot of attention, since they greatly increase the capacity and improve the performance of future communication systems. In this dissertation, we focus on designing algorithms that enable efficient hardware implementations of LDPC codes and MIMO detection systems. Quasi-cyclic (QC) LDPC codes are of great interest since their regular code structure leads to efficient hardware implementations. We propose and implement in FPGA two partly parallel decoder architectures for QC LDPC codes to improve the decoding throughput and memory requirement of existing decoders. Our over-lapped message passing (OMP) decoder achieves the maximum throughput gain and hardware utilization efficiency (HUE) due to overlapping, hence has higher throughput and HUE than previously proposed OMP decoders while maintaining the same hardware requirements and the same error performance. We also show that the maximum throughput gain and HUE achieved by our OMP decoder are ultimately determined by the given code. Thus, we propose a coset-based construction method, which results in QC LDPC codes that allow our optimal OMP decoder to achieve higher throughput and HUE. To further reduce the memory requirement of our OMP decoder, we propose the parallel turbo-sum-product (PTSP) decoder architecture. Implementation results show that our PTSP decoder achieves better error performance, faster convergence and hence higher throughput than the OMP decoder with reduced memory requirement. Hardware implementations of tree search based MIMO detection often have limited performance due to large memory requirement or high computational complexity of sophisticated MIMO detection algorithm

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Performance and power analysis of parallelized implementations on an MPCore multiprocessor platform

Performance and power analysis of parallelized implementatio...

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2007 International Conference on Embedded Computer Systems: architectures, Modeling and Simulation, IC-SAMOS 2007

作者： Blume, H. Livonius, J.v. Rotenberg, L. Noll, T.G. Bothe, H. Brakensiek, J. Department of Electrical Engineering and Computer Systems RWTH Aachen University Schinkelstraße 2 52062 Aachen Germany Nokia Research Center Meesmannstr. 103 44807 Bochum Germany

ISBN: (纸本)1424410584

In this contribution, the potential of parallelized software that implements algorithms of digital signal processing on a multicore processor platform is analyzed. For this purpose various digital signal processing tasks have been implemented on a prototyping platform i.e. an ARM MPCore featuring four ARM11 processor cores. In order to analyze the effect of parallelization on the resulting performance-power ratio, influencing parameters like e.g. the number of issued program threads have been studied. For parallelization issues the OpenMP programming model has been used which can be efficiently applied on C-level. In order to elaborate power efficient code also a functional and instruction level power model of the MPCore has been derived which features a high estimation accuracy. Using this power model and exploiting the capabilities of OpenMP a variety of exemplary tasks could be efficiently parallelized. The general efficiency potential of parallelization for multiprocessor architectures can be assembled. ©2007 IEEE.

关键词： Digital signal processing

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Direction-finding using a modified minimum eigenvector technique

Direction-finding using a modified minimum eigenvector techn...

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advanced signal-processing algorithms, architectures, and implementations

作者： Er, Meng H. Nanyang Technological Inst Singapore

In this paper, an adaptive algorithm for direction-finding of correlated sources is presented. The algorithm is low in computational complexity and it does not require determination of the effective rank of the array correlation matrix. The algorithm employs a gradient technique to determine the minimum eigenvector of the correlation matrix and an orthogonalization technique to determine the second minimum eigenvector. The two noise eigenvectors are then used to compute the spatial spectra. The angle of arrivals can then be found by superimposing the two spectra. To verify further the true arrivals, additional spatial spectral can be computed using a combination of the two noise eigenvectors. Numerical results show that the proposed algorithms are effective in resolving correlated sources.

关键词： signal processing

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Design of pre-processing algorithms for efficient MIMO-OFDM receiver architectures

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Physical Communication 2010年第1期3卷 37-47页

作者： Skraparlis, D. Kanellopoulos, J.D. Wireless and Satellite Communications Group Division of Information Transmission Systems and Materials Technology School of Electrical and Computer Engineering Zografou 15780 Athens 9 Iroon Polytechniou Street Greece

Modern wireless communication applications are characterized by the need for advanced signal processing techniques such as Multiple-Input Multiple-Output (MIMO) technology for achieving high throughput and diversity and Orthogonal Frequency Division Multiplexing (OFDM) for achieving robustness to multipath fading. The implementation of such techniques at the transceiver level typically involves the design of algorithms with high processing complexity. This paper considers the efficient design of MIMO-OFDM receivers in preamble-based systems and addresses the problem of large processing delays associated with pre-computations and symbol detection. The existence of large processing delays has a huge impact on the performance and resource requirements (vector processing, increased clock rates and increased power consumption) of modern receivers. More specifically, we address the performance and complexity bottleneck introduced by the pre-computations involved for MIMO-OFDM channel decomposition. We propose a redesign of channel decomposition algorithms which achieves a better matching of the processing rate of MIMO-OFDM receivers to the real-time processing deadlines imposed by the structure of the incoming data packets. It is demonstrated that for a specific MIMO-OFDM channel training frame structure (alternating antenna preamble), simple modifications to typical channel decomposition algorithms can achieve significant processing performance and complexity gains compared to typical receiver designs. © 2009 Elsevier B.v. All rights reserved.

关键词： Algorithm design Complexity reduction MIMO-OFDM receiver design Pre-processing processing delay Receiver processing

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