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conference on advanced signal processing algorithms, Architectures, and Implementations XVI

作者： Nickel, Robert M. Penn State Univ Dept Elect Engn University Pk PA 16802 USA

ISBN: (纸本)0819463922

We are presenting an extension to the classic multiple signal classification method (MUSIC) developed by Schmidt and Bienvenu in 1979.(1) While the classic MUSIC algorithm is limited to the detection of constant frequency sinusoids in white noise, the proposed new method is capable of detecting signals with a continuously varying instantaneous frequency. The method is based on the development of a discrete-time version of the generalized scale transform (GST) which was introduced by Nickel and Williams in 1999.(2) As a byproduct we obtain techniques for discrete-time warp-shift invariant filtering which can be used in addition to the signal detection to separate signals with different instantaneous frequency contours.

关键词： warping functions sampling theory generalized scale transform signal detection multiple signal classification (MUSIC)

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AN APPLICATION-SPECIFIC PROCESSOR DEDICATED TO KALMAN-FILTER-BASED CORRECTION OF SPECTROMETRIC DATA

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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 1995年第3期44卷 720-724页

作者： BARWICZ, A MASSICOTTE, D SAVARIA, Y PANGO, PA MORAWSKI, RZ WARSAW UNIV TECHNOL FAC ELECTRINST RADIOELECTRPL-00665 WARSAWPOLAND ECOLE POLYTECH MONTREAL MICROELECTR RES GRPMONTREALPQ H03 C3ACANADA UNIV QUEBEC DEPT INGNMEASURING SYST LABTROIS RIVIERESPQ G9A 5H7CANADA UNIV QUEBEC SIGNALS & MEASUREMENTS LABTROIS RIVIERESPQCANADA

An application-specific processor dedicated to Kalman-filter-based measurand reconstruction in spectrometric applications is proposed, It is intended to act as coprocessor of a host processor, performing relatively sophisticated processing of measurement data subject to systematic errors of an instrumental type and to random errors of various natures, It is basically designed for improving the resolution of spectrometric measurements commonly used in environmental laboratories, but it may be useful in other applications where similar processing of measurement data is required, Examples of applications of the processor in spectrometric measurements, its metrological advantages and limitations, as well as perspectives of its development, are presented.

关键词： Application specific processors signal processing algorithms Digital signal processors Mass spectroscopy Instruments Velocity measurement Digital signal processing Very large scale integration Power system reliability Coprocessors

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GPU-accelerated Height Map Estimation with Local Geometry Priors in Large Scenes 15

GPU-accelerated Height Map Estimation with Local Geometry Pr...

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15th IEEE International conference on advanced Video and signal Based Surveillance (AVSS)

作者： Rezaei, Alireza Pellicano, Nicola Aldea, Emanuel Paris Saclay Univ Paris Sud Univ CNRS SATIEUMR 8029 St Aubin France

ISBN: (纸本)9781538692943

Detection and tracking of pedestrians in vast crowded areas is a complex problem addressed actively by the computer vision community. Proposed algorithms should ideally tackle issues of accuracy and speed at the same time. Lengthy computation times for high-quality optimization-based algorithms relying on multiple sensors make them impractical to use on long and detailed sequences. Hence, an efficient acceleration scheme, which preserves the overall accuracy, is vital to be considered. In the current work, we iterate various steps taken to accelerate a multi-camera pedestrian detection algorithm formulated as an optimization of a height map with local scene geometry constraints. The work is performed using the NVIDIA CUDA framework which allows us to efficiently utilize GPU processors and optimize the various memory accesses. The final results show more than 1000x speedup on real data frames. With respect to preserving the output accuracy, we achieve an accelerated output which is more than 99.9% in agreement with the original results.

关键词： Message systems Graphics processing units Acceleration Cameras Optimization Geometry Approximation algorithms

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Rapid transient superresolution frequency tracking via generalized ESPRIT

Rapid transient superresolution frequency tracking via gener...

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conference on advanced signal processing algorithms, Architectures, and Implementations XVII

作者： Nickel, Robert M. Penn State Univ Dept Elect Engn University Pk PA 16802 USA

ISBN: (纸本)9780819468451

We are presenting a new method for super resolution tracking of frequency modulated sinusoids in white noise. The method is specifically designed to handle the rapid transient problem, i.e. the problem of tracking a continuous, rapidly changing instantaneous frequency contour. The proposed method employs to components: 1) an adaptive generalized scale transform 1, 2 which applies a localized change of time-frequency coordinates within the given signal, and 2) an estimation of signal parameters by rotational invariance techniques 3 (ESPRIT). With experiments we have shown that the proposed method provides a significantly higher estimation accuracy than conventional methods. 3 With an optimal choice of transform parameters the estimation error can be reduced dramatically. Error reductions of over 40% have been observed.

关键词： instantaneous frequency tracking non-uniform sampling estimation of signal parameters by rotational invariance techniques (ESPRIT) generalized scale transform

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A Jacobi method for signal subspace computation

A Jacobi method for signal subspace computation

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conference on advanced signal processing - algorithms, Architectures, and Implementations VII

作者： Paul, S Gotze, J Institute for NTCD TU Munich D-80290 Munich Germany

ISBN: (纸本)0819425842

The Jacobi method for singular value decomposition is well-suited for parallel architectures. Its application to signal subspace computations is well known. Basically the subspace spanned by singular vectors of large singular values are separated from subspace spanned by those of small singular values. The Jacobi algorithm computes the singular values and the corresponding vectors in random order. This requires sorting the result after convergence of the algorithm to select the signal subspace. A modification of the Jacobi method based on a linear objective function merges the sorting into the SVD-algorithm at little extra cost. In fact, the complexity of the diagonal processor cells in a triangular array get slightly larger. In this paper we present these extensions, in particular the modified algorithm for computing the rotation angles and give an example of its usefulness for subspace separation.

关键词： subspace methods singular value decomposition Jacobi method parallel architecture optimization on manifolds Lie groups

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Invertible time-frequency representations

Invertible time-frequency representations

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SPIE conference on advanced signal processing algorithms, Architectures, and Implementations VIII

作者： Nelson, DJ Kenny, OP US Dept Def Ft George G Meade MD 20755 USA

ISBN: (纸本)0819429163

In this paper, we present a new class of representations of signals in the time-frequency (TF) plane. These representations are complex valued, linear, and satisfy reconstruction conditions in which the signal and its complex spectrum may be uniquely reconstructed from their TF representation. These surfaces are generalizations of one-dimensional linear transforms with which they share many properties.. The primary advantage of these representations is that the phase of the surface may be used to recover signal information which is not contained in real TF surfaces. Linearity guarantees that cross-terms normally associated with TF distributions do not exist in these representations. Several examples of invertible surfaces are presented, and it is demonstrated that these surfaces agree with normal intuition. Finally, a method, based on the phase gradient, is proposed as a method of modifying Fourier surfaces to produce representations which are more focused or more concentrated in time and frequency.

关键词： Time-Frequency signal reconstruction Fourier transform spectral phase instantaneous frequency group delay phase gradient

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Construction of signal-dependent Cohen's-class time-frequency distributions using iterative blind deconvolution

Construction of signal-dependent Cohen's-class time-frequenc...

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conference on advanced signal processing algorithms Architectures and Implementations XIII

作者： Yagle, AE Torres-Fernández, JE Univ Michigan Dept EECS Ann Arbor MI 48109 USA

ISBN: (纸本)0819450782

The problem of kernel design for Cohen time-frequency distributions is formulated as a blind deconvolution problem. It is shown that the iterative blind deconvolution method (IBDM) used in image restoration problems can be successfully applied to solve the kernel design problem. We obtain the following results: (1) the rate of convergence depends on which domains the constraints are imposed (2) certain constraints are needed for algorithm convergence (3) the more constrained the kernel design is, the faster the rate of convergence (4) there are tradeoffs between constraints, e.g., compact support vs. satisfaction of marginals;(5) time-frequency distributions which are more amenable to visual interpretation can be obtained using this algorithm.

关键词： time-frequency distributions blind deconvolution

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A GPP-DSP Based Computing Task Allocation Scheme for on-Board signal processing in OFDM Satellite System 9

A GPP-DSP Based Computing Task Allocation Scheme for on-Boar...

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9th International conference on advanced Infocomm Technology (ICAIT)

作者： Gao, Ming Wang, Cheng Cui, Gaofeng Zhang, Yinghai Wang, Weidong Minist Educ Key Lab Univ Wireless Commun Beijing Peoples R China Beijing Univ Posts & Telecommun Sch Elect & Engn Informat & Elect Technol Lab Beijing Peoples R China

ISBN: (纸本)9781538636282

Satellite communication plays an important role in the global connection for its large coverage and stability against the terrestrial disaster. Usually the on-board signal processor is customized for the satellite which it is implemented on, with high processing ability but also with high construction cost and difficulty of reconfiguration. Thus a reconfigurable on-board processor is required to fulfill the demand of more frequent and periodic configuration update. This paper presents a computing task allocation scheme based on general purpose processor (GPP)-digital signal processor (DSP) signal processing system, in which GPP handles the generic algorithms such as channel coding, modulation, time and frequency synchronization while DSP is in charge of special mathematic operations. We first introduce a low earth orbit (LEO) orthogonal frequency division multiplexing (OFDM) satellite physical layer system as an example with an analysis of the system's calculation characteristics. After that, a computing task allocation scheme corresponding to the system is derived based on the computation characteristic of all the modules in the system. Finally, the processing time with and without the scheme algorithm is tested on a system consist of a PC and a DSP board. Experiment results show that the processing time of the DSP-GPP system is shortened using the proposed scheme, compared to the GPP-only system without the task allocation scheme.

关键词： DSP on-board signal processing reconfigurable satellite communication

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Some significant communications processing realized with adaptive Bragg gratings

Some significant communications processing realized with ada...

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SPIE conference on advanced signal processing algorithms, Architectures, and Implementations VIII

作者： Upton, E Wickham, M Smith, M Hart, J Flynn, R Havstad, S Nachman, P TRW Co Inc Redondo Beach CA 90278 USA

ISBN: (纸本)0819429163

Higher data capacity demands and lower interference requirements in the wireless communications arena are exploiting higher carrier frequencies and wider modulation bandwidths. Circuitry which can perform intermediate frequency processing over these more demanding ranges is needed to provide complex signal processing without commercial penalties. Photonics technologies utilizing Bragg Grating signal processing (BGSP) can bridge the gap between the very high frequency RF millimeter wave integrated circuit (MIMIC) domains at the antenna interface and the CMOS digital signal processors at the base band frequency interface. The desirable benefits of multiple tap adaptive finite impulse response (FIR) and infinite impulse response (IIR) filters and equalizers are well known;however, they are usually the province of digital signal processing and force the sample rates prior to these processors to a higher overall system power consumption level. BGSP provides these functions with discrete taps and digital controls but at the bandwidths usually reserved for RF circuitry because the actual processing occurs at optical frequencies and at wave lengths which are compatible with integrated circuit technologies. The high performance benefits of photonic processing can be realized if the stability control of the Bragg grating is derived from the same metric which induces in photonics its sensitivity to drift. We will present a orthogonally coded tap modulation technique which stabilizes the transfer function of the signal processor and enables significant adaptive IF signal processing to be obtained with very low size, weight, and power. Our demonstration of a photonic proof-of-concept architecture is a reconfigurable multiple tap FIR filter that is dynamically controlled to perform low pass, high pass, band pass, and band stop filters operating over bandwidths of 3 GHz.

关键词： signal processing Fiber Bragg gratings Filtering (signal processing) Control systems Linear filtering Digital signal processing Optical filters Servomechanisms Modulators Electronic filtering

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Multiresolution versus single resolution horizon picking in 2D seismic images

Multiresolution versus single resolution horizon picking in ...

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conference on Image and signal processing for Remote Sensing IX

作者： Faraklioti, A Petrou, M Univ Surrey Ctr Vis Speech & Signal Proc Sch Elect & Phys Sci Guildford GU2 5XH Surrey England

ISBN: (纸本)0819451215

In this paper, two different approaches for horizon picking are examined. The first one is a simple line detection algorithm applied to the full resolution image. The second algorithm is a multiscale line detection algorithm, based on the wavelet transform of the image. Both full resolution and multiresolution line detection algorithms are applied to 2D seismic images and compared in terms of their performance. Results show that the full resolution line detection approach outperforms the multiresolution approach.

关键词： Image resolution Wavelets Gaussian filters Image segmentation Image filtering Detection and tracking algorithms Wavelet transforms Edge detection Filtering (signal processing) advanced distributed simulations

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