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General approach for obtaining joint representations in signal analysis and an application to scale

General approach for obtaining joint representations in sign...

引用

advanced signal processing algorithms, architectures, and implementations II

作者： Cohen, Leon Hunter Coll. and Graduate Cent./CUNY Bronx NY USA

ISBN: (纸本)0819406945

A general approach for obtaining joint representations in signal analysis is presented. The method is applied to scale representations. We define a new scale operator and show that it leads to joint representations of the Altes and Marinovic type and we also define joint representations with inverse frequency and show that it leads to Bertrand-Bertrand type distributions. We derive the uncertainty principle for scale and obtain the minimum time-scale uncertainty signal.

关键词： signal Theory

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Massively parallel signal processing architecture based on response of retina cells

Massively parallel signal processing architecture based on r...

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advanced signal processing: algorithms, architectures, and implementations V

作者： Wilkins, Nathan A. Abushagur, Mustafa A. Caulfield, H.John COLSA Corp. Ft. Payne AL USA

ISBN: (纸本)0819416207

A massively parallel signal and image processing architecture is considered. The architecture is comprised of 2D arrays of cells that simulate the response of retina neurons. The results of simulations are compared to previously published experimental results and the system is applied to detection of spatio-temporal features in sequences of images representative of pulse- doppler radar images. By arranging the output layer so that the cells respond to various key input features an array of feature extraction cells can be obtained. The system is characterized by developing an image space to feature space mapping.

关键词： Computer vision

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Frequency-selective techniques based on singular value decomposition (SVD), total least squares (TLS), and bandpass filtering

Frequency-selective techniques based on singular value decom...

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advanced signal processing: algorithms, architectures, and implementations V

作者： Chen, Hua Van Huffel, Sabine Vandewalle, Joos Katholieke Univ. Leuven Leuven Belg

ISBN: (纸本)0819416207

Much research has focused on estimating the parameters of a sum of exponentially damped sinusoids. In some applications, such as nuclear magnetic resonance signal processing, only a few of the sinusoids are of interest. This paper presents some new frequency-selective techniques for estimating the parameters of sinusoids within a specified frequency region using a subspace and SVD-based estimation algorithm and an FIR filter matrix. The applicable estimation algorithms in this technique are the linear prediction method, the matrix pencil method, Kung et al.'s method and its total-least-squares variant, called the HTLS method. The benefits of the frequency-selective technique combined with the HTLS estimation method are confirmed through simulations.

关键词： signal processing

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Energy-Efficient Synthetic-Aperture Radar processing on a Manycore Architecture

Energy-Efficient Synthetic-Aperture Radar Processing on a Ma...

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42nd Annual International Conference on Parallel processing (ICPP)

作者： Zain-ul-Abdin Ahlander, Anders Svensson, Bertil Halmstad Univ Ctr Res Embedded Syst CERES Halmstad Sweden Saab AB Gothenburg Sweden

ISBN: (纸本)9780769551173

The next generation radar systems have high performance demands on the signal processing chain. Examples include the advanced image creating sensor systems in which complex calculations are to be performed on huge sets of data in real time. Manycore architectures are gaining attention as a means to overcome the computational requirements of the complex radar signal processing by exploiting massive parallelism inherent in the algorithms in an energy efficient manner. In this paper, we evaluate a manycore architecture, namely a 16-core Epiphany processor, by implementing two significantly large case studies, viz. an autofocus criterion calculation and the fast factorized back-projection algorithm, both key components in modern synthetic aperture radar systems. The implementation results from the two case studies are compared on the basis of achieved performance and programmability. One of the Epiphany implementations demonstrates the usefulness of the architecture for the streaming based algorithm (the autofocus criterion calculation) by achieving a speedup of 8.9x over a sequential implementation on a state-of-the-art general-purpose processor of a later silicon technology generation and operating at a 2.7x higher clock speed. On the other case study, a highly memory-intensive algorithm (fast factorized backprojection), the Epiphany architecture shows a speedup of 4.25x. For embedded signal processing, low power dissipation is equally important as computational performance. In our case studies, the Epiphany implementations of the two algorithms are, respectively, 78x and 38x more energy efficient.

关键词： Manycore architecture Parallel programming Radar signal processing

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Discrete implementations of scale transform

Discrete implementations of scale transform

引用

Proceedings of the 1999 advanced signal processing algorithms, architectures, and implementations IX

作者： Djurdjanovic, Dragan Williams, William J. Koh, Christopher K.H. Nanyang Technological Univ Singapore

Scale as a physical quantity is a recently developed concept. The scale transform can be viewed as a special case of the more general Mellin transform and its mathematical properties are very applicable in the analysis and interpretation of the signals subject to scale changes. A number of single-dimensional applications of scale concept have been made in speech analysis, processing of biological signals, machine vibration analysis and other areas. Recently, the scale transform was also applied in multi-dimensional signal processing and used for image filtering and denoising. Discrete implementation of the scale transform can be carried out using logarithmic sampling and the well-known fast Fourier transform. Nevertheless, in the case of the uniformly sampled signals, this implementation involves resampling. An algorithm not involving resampling of the uniformly sampled signals has been derived too. In this paper, a modification of the later algorithm for discrete implementation of the direct scale transform is presented. In addition, similar concept was used to improve a recently introduced discrete implementation of the inverse scale transform. Estimation of the absolute discretisation errors showed that the modified algorithms have a desirable property of yielding a smaller region of possible error magnitudes. Experimental results are obtained using artificial signals as well as signals evoked from the temporomandibular joint. In addition, discrete implementations for the separable two-dimensional direct and inverse scale transforms are derived. Experiments with image restoration and scaling through two-dimensional scale domain using the novel implementation of the separable two-dimensional scale transform pair are presented.

关键词： signal processing

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Modular implementations of linearly constrained beamformers

Modular implementations of linearly constrained beamformers

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advanced signal processing algorithms, architectures, and implementations II

作者： Liu, Tsung-Ching Van Veen, Barry D. Univ. of Wisconsin Madison WI USA

ISBN: (纸本)0819406945

This paper describes a cascade decomposition of the generalized sidelobe canceller (GSC) implementation for linearly constrained minimum variance beamformers. The GSC is initially separated into an adaptive interference cancellation module followed by a non-adaptive beamformer. We prove that the adaptive interference cancellation module can be decomposed into a cascade of first (or higher) order adaptive interference cancellation modules, where the order corresponds to the number of adaptive degrees of freedom represented in the module. This distributes the computational burden associated with determining the adaptive weights over several lower order problems and facilitates simultaneous implementation of beamformers with differing numbers of adaptive degrees of freedom.

关键词： signal Interference

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Modified Gram-Schmidt based downdating technique for ULV decompositions with applications to recursive TLS problems

Modified Gram-Schmidt based downdating technique for ULV dec...

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Proceedings of the 1999 advanced signal processing algorithms, architectures, and implementations IX

作者： Barlow, Jesse L. Erbay, Hasan Zhang, Zhenyue Pennsylvania State Univ University Park United States

The ULV decomposition (ULVD) is an important member of a class of rank-revealing two-sided orthogonal decompositions used to approximate the singular value decomposition (SVD). The ULVD can be updated and downdated much faster than the SVD, hence its utility in the solution of recursive total least squares (TLS) problems. However, the robust implementation of ULVD after the addition and deletion of rows (called updating and downdating respectively) is not altogether straightforward. When updating or downdating the ULVD, the accurate computation of the subspaces necessary to solve the TLS problem is of great importance. In this paper, algorithms are given to compute simple parameters that can often show when good subspaces have been computed.

关键词： signal processing

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Robust audio watermarking for copyright protection

Robust audio watermarking for copyright protection

引用

Proceedings of the 1999 advanced signal processing algorithms, architectures, and implementations IX

作者： Wu, Chung-Ping Su, Po-Chyi Kuo, C.-C.Jay Media Fair Inc Monterey Park United States

A digital audio watermarking scheme of low complexity is proposed in this research as an effective way to deter users from misusing or illegally distributing audio data. Previous work on audio watermarking has primarily focused on the inaudibility of the embedded watermark and its robustness against attacks such as compression and noise. In this research, special attention is paid to the synchronization attack caused by casual audio editing or malicious random cropping, which is a low-cost yet effective attack to watermarking algorithms developed before. The proposed scheme is based on audio content analysis and watermark embedding in the Fourier transform domain. A blind watermark detection technique is developed to identify the embedded watermark under various types of attacks.

关键词： Digital signal processing

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Compressing redundant color information for images of color maps: a practical approach

Compressing redundant color information for images of color ...

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Proceedings of the 1999 advanced signal processing algorithms, architectures, and implementations IX

作者： Moon, Yiu Sang Wong, Chung Yiu Wong, Chung Kai Feng, Yucai Chinese Univ of Hong Kong Hong Kong Hong Kong

This paper studies an approach to solve the problem of color purification for images of scanned paper maps in an experimental manner. The mathematical foundation of the approach is briefly outlined. A computationally feasible algorithm is then proposed. This algorithm is tested through real life testing. Results indicate that this approach not only restores and purifies colors of the map digitally. It compresses the data of the image files too.

关键词： Color image processing

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Homogeneous VLSI structures for high speed digital signal processing using number theoretic techniques 4

Homogeneous VLSI structures for high speed digital signal pr...

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advanced algorithms and architectures for signal processing IV 1989

作者： Jullien, G.A. Miller, W.C. VLSI Research Group University of Windsor WindsorONN9B 3P4 Canada

Exact computations, performed with residues, occur in Number Theoretic Transforms and Residue Number System implementations. Once thought awkward to implement with standard logic circuits, the application of efficient small lookup tables, constructed with pipelined dynamic ROM's, allows very efficient construction of hardware ideally suited to residue operations. Linear DSP operations that are compute bound (require many arithmetic computations per input/output sample), are best suited for implementation with systolic arrays. For very high throughput operations, bit-level systolic arrays appear to be ideally suited to their implementation. The dynamic ROM's used for the residue computations, are a perfect vehicle for implementing such operations at the bit-level in a systolic architecture. This paper discusses VLSI architectures based on finite ring computations, using linear systolic arrays of small look-up tables. The advantage of this approach is that fixed coefficient multiplication requires no increase in hardware over that required for general addition, and the resulting structure is homogeneous in that only one cell type is required to implement all of the processing functions. Several advantages accrue in the VLSI setting, particularly clock rate increase, ease of testability and natural fault tolerance Three different approaches to implementing the finite ring/field residue calculations are discussed. The first uses a bit-level steering mechanism around small dynamic ROM's;two applications of this technique to digital signal processing are outlined. The other two techniques are based on a redundant binary representation implemented with a pipelined adder configuration, and an iterative solution technique based on neural-like networks. © 1989 SPIE. All rights reserved.

关键词： Iterative methods

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