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检索条件"任意字段=Advanced Signal Processing Algorithms, Architectures, and Implementations XVI"

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TRUNCATED SAMPLING FOR THE FOURIER-MELLIN TRANSFORM WITH APPLICATIONS TO WIDE-BAND WVD COMPUTATION

TRUNCATED SAMPLING FOR THE FOURIER-MELLIN TRANSFORM WITH APP...

引用

CONF ON advanced signal-processing algorithms, architectures, AND implementations

作者： ALLEN, JC Naval Ocean Systems Ctr. (United States)

ISBN: (纸本)0819404098

The Fourier-Mellin transform (FMT) of an input function is defined as and is the magnitude squared of the Mellin transform of the magnitude squared of the Fourier transform of the input function [1]. As such the FMT is unchanged by translations and dilations of the input function. While the FMT has found applications in optical pattern recognition [3] [5] ship classification by sonar and radar [15] and image processing [10] only cursory attention has been paid to the truncation error incurred by using a finite number of samples of the input function. This paper establishes truncation bounds for computing the FMT for band-limited functions from a finite number of samples of the input function. These bounds naturally suggest an implementation of the FMT by the method of direct expansions [4] [14]. This approach readily generalizes to a direct expansion for the Wigner-Ville distribution [13] and the Q distribution [2]. 1 Principal Notation u(x) fff00 e_2tu(t)dt Fourier transform of u M(u s) fD X_i2r8() Mellin transform of u . FM(u s) M(lI(x)I2 s)________ Fourier-Mellin transform of u Q(U V f002rt U(wft)_V(w/fr) Q distribution of U and V W(U V t w) fe_i2ntY U(w + y/2) V(w y/2) dy Wigner-Ville distribution of U and V

关键词： Fourier transforms Error analysis Image classification Image processing Optical pattern recognition Radar

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Innovative implementation and simulation of signal processing algorithms for the ASTP & DITP programs.

Innovative implementation and simulation of signal processin...

引用

Conference on signal and Data processing of Small Targets

作者： DeChaine, MD Kinashi, Y Nichols Res Corp Arlington VA 22202 USA

ISBN: (纸本)0819428221

An innovative approach is being used to implement and simulate the infrared (IR) and laser radar signal processing algorithms for the advanced Sensor Technology Program (ASTP) and the Discrimination Interceptor Technology Program (DITP). Although the algorithms will run on four different computer architectures, they will use the same source code for all implementations. The initial development and testing will occur in Mathcad on a Windows 95/NT personal computer, then move to simulation on a Silicon Graphics (SGI) workstation, then to scaled real-time simulation on a parallel high performance computer (HPC), and finally to the actual flight processor, the miniaturized parallel Wafer Scale signal Processor (WSSP) with a MIMD (multiple-instruction and multiple data) architecture. This flexibility is accomplished with code wrappers that implement interchangeable interface layers for the code modules, one wrapper for Mathcad matrices, one for C++ objects on the workstation, one for message passing with static routing on the HPC, and one for dynamically routed message passing on the WSSP. With this approach, developers can move modules back and forth from the workstation simulation environment to the implementation hardware. This will eliminate the need to maintain different versions of the same algorithm. The signal processing algorithms will be modified to work in a massively parallel architecture, with a message passing interface, which is simulated on the Silicon Graphics workstation, emulated on the HPC, and implemented on the WSSP. This approach will allow for pipeline processing as well as multiple, concurrently running instances of modules. In addition, innovative algorithms will fuse active laser radar detections and passive multicolor IR sensor measurements to improve target state estimation.

关键词： signal processing algorithms parallel processing simulation infrared sensors laser radar ballistic missile defense

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3D Object Matching on the GPU Using Spin-Image Surface Matching

3D Object Matching on the GPU Using Spin-Image Surface Match...

引用

Conference on advanced signal processing algorithms, architectures, and Implementantions xviII

作者： Davis, Nolan Braunreiter, Dennis Tebcherani, Cezario Tanida, Masatoshi Sci Applicat Int Corp San Diego CA 92121 USA

ISBN: (纸本)9780819472946

Spin-image surface matching is a technique for locating objects in a scene by processing three-dimensional surface information from sources such as light detection and ranging (LIDAR), structured light photography, and tomography. It is attractive for parallel processing on graphics processing units (GPUs) because the two main computational steps matching pairs of spin-images by correlation, and matching pairs of points between model and scene - are explicitly parallel. By implementing these parallel computations on the GPU, as well as recasting serial portions of the algorithm into a parallel form and structuring the algorithm to limit data exchanges between host and GPU, this project achieved an overall speedup of 20 times or more compared to conventional serial processing. A demonstration application has been developed that allows users to select among a set of models and scenes and then applies the spin-image surface matching algorithm to match the selected models to the scene. It also has several user interface controls for changing parameters. One new parameter is a geometric consistency ratio (GCR) that quantifies the matching performance and provides a measure for discarding low-quality matches. By toggling between GPU- and host-based processing, the application demonstrates the speedup achieved with parallelization on the GPU.

关键词： spin image surface matching object matching image correlation geometric consistency GPU graphical processing unit parallel processing speedup

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EFFECT OF RESAMPLING ON THE MUSIC ALGORITHM WHEN APPLIED TO INVERSE SYNTHETIC APERTURE RADAR

EFFECT OF RESAMPLING ON THE MUSIC ALGORITHM WHEN APPLIED TO ...

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CONF ON advanced signal processing algorithms, architectures, AND implementations 2

作者： NASH, G Defence Science and Technology Organization and Univ. of South Australia (Australia)

ISBN: (纸本)0819406945

Inverse synthetic aperture radar (ISAR) is a radar imaging method by which the rotation of a target is utilized to produce a two dimensional image. To achieve high resolution in both range and cross range, a series of stepped frequency waveforms are transmitted. These sample the target's radar response in frequency and time. Frequency transforms to time, which is proportional to range, and time transforms to doppler frequency, which is proportional to cross range. Therefore a two dimensional Fourier transform can be applied to the two dimensional data set to produce a radar image. However this is an approximation as the data is in a polar format, which only approximates a rectangular grid. Therefore resampling (interpolation) is required to change the grid from a polar to a rectangular format. The resampling in this case is straightforward. In an attempt to obtain higher resolution images, the Fourier transform has been replaced by the multiple signal classification (MUSIC) algorithm. The justification for this is that the targets of interest are manmade and so have sharp edges and corners. Therefore they consist of a number of corner reflectors with a background of continuous reflectors. The corner reflectors by their nature will generally give much stronger reflections, so one can with a certain degree of accuracy, approximate the ship as a collection of corner reflectors. Over the small change in aspect angle for which ISAR imaging is performed, corner reflectors can be approximated as point scatterers. This leads to the data being modeled as a collection of complex exponentials with added white Gaussian noise. The noise being due to thermal noise in the radar system. This type of data set is ideal for the two dimensional MUSIC algorithm. There are two major difficulties in applying the MUSIC algorithm to ISAR imaging. First, the MUSIC estimator is more sensitive to the sampling grid being polar than the Fourier transform is. Second, the resampling is less effect

关键词： Fourier transforms Radar Reflectors Computer simulations Interference (communication) Data modeling Detection and tracking algorithms Image resolution signal processing Transform theory

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On-line arithmetic for recurrence problems

On-line arithmetic for recurrence problems

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advanced signal processing algorithms, architectures, and implementations II

作者： Ercegovac, Milos D. Univ. of California/Los Angeles Los Angeles CA USA

An arithmetic-level approach to increasing computation rate in solving recurrence problems is discussed. The approach, based on on-line arithmetic principles, is discussed in problems such as root finding and recursiv... 详细信息

ISBN: (纸本)0819406945

关键词： signal processing

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New algorithms for on-line computation of elementary functions

New algorithms for on-line computation of elementary functio...

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advanced signal processing algorithms, architectures, and implementations II

作者： Kla, Sylvanus Mazenc, Christophe Merrheim, Xavier Muller, Jean-Michel M. Ecole Normale Superieure de Lyon Lyon Cedex 07 France

ISBN: (纸本)0819406945

We present here some algorithms for on-line computation of elementary functions. These algorithms use shift-and-add as elementary step and need signed digit representations of numbers. Then, we give some theoretical results about on-line computation of functions. For instance, we show that a finite automaton (in practice a bounded size and memory operator) can compute in on-line only piecewise affine functions.

关键词： signal processing

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Architecture of a complex arithmetic processor for communication signal processing

Architecture of a complex arithmetic processor for communica...

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advanced signal processing: algorithms, architectures, and implementations V

作者： Gilfeather, Susan L. Gehman Jr., John B. Harrison, Calvin Motorola Government and Systems Technology Group Scottsdale AZ USA

ISBN: (纸本)0819416207

The Complex Arithmetic Processor (CAP) is a high performance, single chip Digital signal Processor optimized for communication signal processing operations. The CAP VLSI provides the communication system building block necessary to meet the increased signal processing requirements of complex modulation types, voice and image compression while maintaining the requirement for small, low power implementations. The chip is intended for high speed, low power digital communication system applications such as hand held spread spectrum communications systems. The CAP architecture has been developed specifically for the complex arithmetic functions required in communication signal processing. The CAP is a software programmable, highly integrated parallel array of processors containing the arithmetic resources, memories, address generation, bit manipulation and logic functions necessary to support the sophisticated processing required in advanced communication equipment. The CAP executes a 1024 point complex Fast Fourier Transform in 131 microseconds.

关键词： Digital integrated circuits

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Resolution advantages of quadratic signal processing

Resolution advantages of quadratic signal processing

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advanced signal processing algorithms, architectures, and implementations II

作者： Atlas, Les E. Fang, Jing Loughlin, Patrick Music, Wayne Univ. of Washington Seattle WA USA

ISBN: (纸本)0819406945

In this paper, we show how quadratic time-frequency representations are a generalization of the spectrogram and we review our results for time-frequency analysis and display of chirps and speech. We then show comparative performance on phase-shifted keyed communication signals. The concept of quadratic filtering is then introduced and linked to Teager's energy detector and the resolution advantages over linear filtering are demonstrated.

关键词： signal processing

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Filtering chaotic time series

Filtering chaotic time series

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advanced signal processing: algorithms, architectures, and implementations V

作者： Davies, Michael E. Univ. Coll. London London UK

We consider the relationship between modelling dynamics with a nonlinear function approximation and the application of a noise reduction algorithm. Filtering the data with such an algorithm is then shown to provide a ... 详细信息

ISBN: (纸本)0819416207

关键词： signal filtering and prediction

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Acoustic sensor networks for woodpecker localization

Acoustic sensor networks for woodpecker localization

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advanced signal processing algorithms, architectures, and implementations XV

作者： Wang, H. Chen, C.E. Ali, A. Asgari, S. Hudson, R.E. Yao, K. Estrin, D. Taylor, C. UCLA Computer Science Department UCLA Electrical Engineering Department UCLA Ecology and Evolutionary Biology Department

Sensor network technology can revolutionize the study of animal ecology by providing a means of non-intrusive, simultaneous monitoring of interaction among multiple animals. In this paper, we investigate design, analysis, and testing of acoustic arrays for localizing acorn woodpeckers using their vocalizations.1,2 Each acoustic array consists of four microphones arranged in a square. All four audio channels within the same acoustic array are finely synchronized within a few micro seconds. We apply the approximate maximum likelihood (AML) method3 to synchronized audio channels of each acoustic array for estimating the direction-of-arrival (DOA) of woodpecker vocalizations. The woodpecker location is estimated by applying least square (LS) methods to DOA bearing crossings of multiple acoustic arrays. We have revealed the critical relation between microphone spacing of acoustic arrays and robustness of beamforming of woodpecker vocalizations. Woodpecker localization experiments using robust array element spacing in different types of environments are conducted and compared. Practical issues about calibration of acoustic array orientation are also discussed.

关键词： signal processing

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