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

共 472 条记录，以下是281-290 订阅

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Digital filtering using the multidimensional logarithmic number

Digital filtering using the multidimensional logarithmic num...

引用

advanced signal processing algorithms, architectures, and implementations XII

作者： Dimitrov, v.S. Jullien, G.A. Walus, K. ATIPS Laboratory Dept. of Elec. and Comp. Engineering University of Calgary Calgary Alta. T2N 1N4 403 210-5423 Canada

We introduce the use of multidimensional logarithmic number system (MDLNS) as a generalization of the classical 1-D logarithmic number system (LNS) and analyze its use in DSP applications. The major drawback of the LNS is the requirement to use very large ROM arrays in implementing the additions and subtraction and it limits its use to low-precision applications. MDLNS allows exponential reduction of the size of the ROMs used without affecting the speed of the computational process: moreover, the calculations over different bases and digits are completely independent, which makes this particular representation perfectly suitable for massively parallel DSP architectures. The use of more than one base has at least two extra advantages. Firstly, the proposed architecture allows us to obtain the final result straightforwardly in binary form, thus, there is no need of the exponential amplifier, used in the known LNS architectures. Secondly, the second base can be optimized in accordance to the specific digital filter characteristics. This leads to dramatic reduction of the exponents used and, consequently, to large area savings. We offer many examples showing the computational advantages of the proposed approach.

关键词： Digital signal processing

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signal processing issues in wireless sensor networks

Signal processing issues in wireless sensor networks

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advanced signal processing algorithms, architectures, and implementations Xv

作者： Poor, H. vincent Department of Electrical Engineering Princeton University Princeton NJ 08544 United States

Wireless sensor networks present a number of challenges to system designers, including notably the efficient use of limited resources such as bandwidth and energy. One way these challenges can be addressed is through the application of signal processing principles in the design, deployment and operation of sensor networks. After a discussion of general issues arising in this context, this talk will describe several recent developments in this area. These include the effects of receiver choice on energy efficiency, collaborative beam-forming, sensor scheduling, and distributed learning. Some of the work described in this talk can be found in Refs. 1-8.

关键词： signal processing

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High-performance signal and image processing for remote sensing using reconfigurable computers

High-performance signal and image processing for remote sens...

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

作者： Caffrey, Michael Szymanski, J.J. Begtrup, A. Layne, J. Nelson, T. Robinson, S. Salazar, A. Theiler, J. Los Alamos Natl Lab Los Alamos United States

It is not uncommon for remote sensing systems to produce in excess of 100 Mbytes/sec. Los Alamos National Laboratory designed a reconfigurable computer to tackle the signal and image processing challenges of high bandwidth sensors. Reconfigurable computing, based on field programmable gate arrays, offers ten to one hundred times the performance of traditional microprocessors for certain algorithms. This paper discusses the architecture of the computer and the source of performance gains, as well as an example application. The calculation of multiple matched filters applied to multispectral imagery, showing a performance advantage of forty-five over Pentium II (450 MHz), is presented as an exemplar of algorithms appropriate for this technology.

关键词： Image processing

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Separating Cognitive Processes with Principal Components Analysis of EEG Time-Frequency Distributions

Separating Cognitive Processes with Principal Components Ana...

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

作者： Bernat, Edward M. Nelson, Lindsay D. Holroyd, Clay B. Gehring, William J. Patrick, Christopher J. Univ Minnesota Dept Psychol Minneapolis MN 55455 USA Univ Victoria Dept Psychol Victoria BC Canada Univ Michigan Dept Psychol Ann Arbor MI 48109 USA

ISBN: (纸本)9780819472946

Measurement of EEG event-related potential (ERP) data has been most commonly undertaken in the time-domain, which can be complicated to interpret when separable activity overlaps in time. When the overlapping activity has distinct frequency characteristics, however, time-frequency (TF) signal processing techniques can be useful. The current report utilized ERP data from a cognitive task producing typical feedback-related negativity (FRN) and P300 ERP components which overlap in time. TF transforms were computed using the binomial reduced interference distribution (RID), and the resulting TF activity was then characterized using principal components analysis (PCA). Consistent with previous work, results indicate that the FRN was more related to theta activity (3-7 Hz) and P300 more to delta activity (below 3 Hz). At the same time, both time-domain measures were shown to be mixtures of TF theta and delta activity, highlighting the difficulties with overlapping activity. The TF theta and delta measures, on the other hand, were largely independent from each other, but also independently indexed the feedback stimulus parameters investigated. Results support the view that TF decomposition can greatly improve separation of overlapping EEG/ERP activity relevant to cognitive models of performance monitoring.

关键词： Time-frequency analysis Principal component analysis Electroencephalography signal processing Brain Electrodes Psychology signal attenuation Time metrology Transform theory

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Second- and higher-order cyclostationary processing using acousto-optics

Second- and higher-order cyclostationary processing using ac...

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advanced signal processing: algorithms, architectures, and implementations v

作者： Sadler, Brian M. Army Research Lab. Adelphi MD USA

ISBN: (纸本)0819416207

In this paper we consider cyclostationary signal processing techniques implemented via acousto-optics (AO). Cyclic processing methods are reviewed and motivated, including the cyclic correlation and the cyclic spectrum. We show how a 1D AO spectrum analyzer can be used to detect the presence, and estimate the value, of cycle frequencies. The cyclic correlation can then be computed at cycle frequencies of interest using a 1D time-integrating correlator. Next we consider the problem of computing the (2D) cyclic correlation for all cycle frequencies and lags simultaneously. This is accomplished via an AO triple-product processor, configured in a manner similar to that used for ambiguity function generation. The cyclic spectrum can be obtained in a post-processing step by Fourier transforming the cyclic correlation in one dimension. We then consider higher order extensions of the cyclic correlation and show how a 2D slice of the 3D cyclic triple-correlation can be computed using an AO four-product processor.

关键词： signal processing

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Tuning Time-Frequency methods for the detection of metered HF speech

Tuning Time-Frequency methods for the detection of metered H...

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Conference on advanced signal processing algorithms, architectures and implementations XII

作者： Nelson, DJ Smith, LH US Dept Def Ft George G Meade MD 20755 USA

ISBN: (纸本)0819445584

Speech is metered if the stresses occur at a nearly regular rate. Metered speech is common in poetry, and it can occur naturally in speech, if the speaker is spelling a word or reciting words or numbers from a list. In radio communications, the CQ request, call sign and other codes are frequently metered. In tactical communications and air traffic control, location, heading and identification codes may be metered. Moreover metering may be expected to survive even in HF communications, which are corrupted by noise, interference and mistuning. For this environment, speech recognition and conventional machine-based methods are not effective. We describe Time-Frequency methods which have been adapted successfully to the problem of mitigation of HF signal conditions and detection of metered speech. These methods are based on modeled time and frequency correlation properties of nearly harmonic functions. We derive these properties and demonstrate a performance gain over conventional correlation and spectral methods. Finally, in addressing the problem of HF single sideband (SSB) communications, the problems of carrier mistuning, interfering signals, such as manual Morse, and fast automatic gain control (AGC) must be addressed. We demonstrate simple methods which may be used to blindly mitigate mistuning and narrowband interference, and effectively invert the fast automatic gain function.

关键词： signal to noise ratio signal processing signal detection Optical filters Time-frequency analysis Interference (communication) Automatic control Electronic filtering Receivers RF communications

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Algorithm-based fault tolerance for noncomputationally intensive applications

Algorithm-based fault tolerance for noncomputationally inten...

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advanced signal processing: algorithms, architectures, and implementations v

作者： Nair, v.S. venkatesan, S. Southern Methodist Univ. Dallas TX USA

ISBN: (纸本)0819416207

Algorithm-based fault tolerance (ABFT) has been proposed as a cost-effective approach to concurrent error detection. So far, the application of ABFT has been limited to computationally intensive applications that lend easily to high-level fault modeling. In this paper we extend the application of ABFT to non-computationally intensive applications. To that end, we first develop a fault model for such systems. Based on the fault model, we develop ABFT schemes for a set of graph theoretic as well as set theoretic problems. Application of the new schemes is illustrated with examples.

关键词： Fault tolerant computer systems

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Convolution theorems: partitioning the space of integral transforms: II

Convolution theorems: partitioning the space of integral tra...

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

作者： Suter, Bruce W. Lindsey, Alan R. Air Force Research Lab Rome United States

Investigating a number of different integral transforms uncovers distinct patterns in the type of scale-based convolution theorems afforded by each. It is shown that scaling convolutions behave in quite a similar fashion to translational convolution in the transform domain, such that the many diverse transforms have only a few different forms for convolution theorems. The hypothesis is put forth that the space of integral transforms is partitionable based on these forms.

关键词： signal processing

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Fault-tolerant arithmetic via time-shared TMR

Fault-tolerant arithmetic via time-shared TMR

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

作者： Swartzlander Jr., Earl E. Univ of Texas at Austin Austin United States

Fault tolerance is increasingly important as society has come to depend on computers for more and more aspects of daily life. The current concern about the Y2K problems indicates just how we much we depend on accurate computers. This paper describes work on time-shared TMR, a technique which is used to provide arithmetic operations that produce correct results in spite of circuit faults.

关键词： Digital signal processing

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Modulo-addressing utilization in automatic software synthesis for digital signal processors

Modulo-addressing utilization in automatic software synthesi...

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1997 IEEE International Conference on Acoustics, Speech, and signal processing (ICASSP 97)

作者： Willems, M Keding, H Zivojnovic, v Meyr, H Aachen Univ of Technology Aachen Germany

ISBN: (纸本)0818679204

Digital signal Processors (DSPs) have become key components for the implementation of digital signal processing systems. With DSPs moving into new application domains and the increasing complexity of modern DSP architectures, efficient programming support receives major interest. Therefore, an optimizing compiler becomes a must for future DSP-architectures. Todays DSP compilers result in significant overheads both in memory consumption and program execution time compared to hand-written assembly code. This is mainly due to an inefficient compiler support of the DSP specific architectural features, such as the modulo-addressing capability which is an enabling feature for a large class of DSP algorithms. Within this paper we analyze why existing compilers fail short in supporting the module-addressing mode and present a compiler concept that allows the efficient utilization of this feature. We describe how an advanced compiler optimization strategy allows a near optimum support of the module-addressing mode, and point out why this concept is favorable to DSP-specific language extensions.

关键词： Program compilers

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