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

共 172 条记录，以下是161-170 订阅

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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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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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Bidirectional MIMO and SISO 3GPP LTE-advanced Fronthaul architectures based on Multicore Fiber 11

Bidirectional MIMO and SISO 3GPP LTE-Advanced Fronthaul Arch...

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Photonics West OPTO conference on Broadband Access Communication Technologies xi

作者： Llorente, Roberto Morant, Maria Univ Politecn Valencia Nanophoton Technol Ctr Camino Vera S-N E-46022 Valencia Spain

ISBN: (纸本)9781510606975;9781510606982

Multicore fiber (MCF) systems have been proposed for high capacity optical transmission applications ranging from the access network to long haul. In this paper we critically review the application of MCF-based systems in optical fronthaul technology with the simultaneous radio-over-fiber (RoF) transmission of 3GPP LTE-advanced signals in downlink and uplink directions. The experimental study evaluates the quality of the received signals in terms of error vector magnitude (EVM) of the LTE-advanced signal and of each channel frame according to the 3GPP wireless standard. The suitability of the 3GPP MIMO processing algorithms is also investigated experimentally evaluating two-antenna and four-antenna system configuration and compared with single-antenna (SISO) transmission in a 4-core MCF.

关键词： Radio-over-fiber (RoF) multicore fiber (MCF) multiple-input multiple-output MIMO processing orthogonal frequency division multiplexing (OFDM) LTE-advanced

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Superresolution imaging: a survey of current techniques

Superresolution imaging: a survey of current techniques

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conference on advanced signal processing algorithms, architectures, and Implementantions XVIII

作者： Cristobal, G. Gil, E. Sroubek, F. Flusser, J. Miravet, C. Rodriguez, F. B. CSIC Inst Opt Serrano 121 E-28006 Madrid Spain ASCR Inst Informat Theory & Automat Prague Czech Republic Univ Autonoma Madrid Escuela Politecn Super Madrid Spain

ISBN: (纸本)9780819472946

Imaging plays a key role in many diverse areas of application, such as astronomy, remote sensing, microscopy, and tomography. Owing to imperfections of measuring devices (e.g., optical degradations, limited size of sensors) and instability of the observed scene (e.g., object motion, media turbulence), acquired images can be indistinct, noisy, and may, exhibit insufficient spatial and temporal resolution. In particular, several external effects blur images. Techniques for recovering the original image include blind deconvolution (to remove blur) and superresolution (SR). The stability of these methods depends on having more than one image of the same frame. Differences between images are necessary to provide new information, but they can be almost unperceivable. State-of-the-art SR techniques achieve remarkable results in resolution enhancement by estimating the subpixel shifts between images, but they lack any apparatus for calculating the blurs. In this paper, after introducing a review of current SR, techniques we describe two recently developed SR methods by the authors. First, we introduce a variational method that minimizes a regularized energy function with respect to the high resolution image and blurs. In this way we establish a unifying way to simultaneously estimate the blurs and the high resolution image. By estimating blurs we automatically estimate shifts with subpixel accuracy, which is inherent for good SR performance. Second, an innovative learning-based algorithm using a neural architecture for SR is described. Comparative experiments on real data illustrate the robustness and utilization of both methods.

关键词： superresolution deconvolution energy minimization probabilistic neural network sequence processing

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Acquisition algorithm based on circular correlation for GPS L2C CM code signal and the software implementation

Acquisition algorithm based on circular correlation for GPS ...

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International conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2014

作者： Zhu, Xue Fen Yang, Yang Yang, Dong Rui Shen, Fei Chen, xi Yuan School of Instrument Science and Engineering Southeast University Nanjing 210096 China Key Lab. of Micro-Inertial Instrument and Advanced Navigation Technology of Ministry of Education Southeast University Nanjing 210096 China

ISBN: (纸本)9783038350606

L2C is a new civilian's signal launched by the modernized GPS Block IIR-M satellite. This paper studies L2C acquisition algorithms with the implementations on MATLAB. Circular correlation is utilized to implement the acquisition algorithm. The input satellite signal is collected by hardware front-end and the local code then simulated by software. The input data after frequency reduction processing and the local simulated code are converted into the frequency domain by means of FFT (Fast Fourier Transform). After performing circular correlation, the initial phase of the CM code is attained and the carrier frequency is found with the resolution of *** effectiveness of the acquisition algorithm is finally verified through the actual satellite experiments. © (2014) Trans Tech Publications, Switzerland.

关键词： Global positioning system

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Hardware/software trade-offs for advanced 3G channel coding

Hardware/software trade-offs for advanced 3G channel coding

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Design, Automation and Test in Europe conference and Exhibition

作者： H. Michel A. Worm M. Munch N. Wehn Institute of Microelectronic System Design University of Kaiserslautern Kaiserslautern Germany ASIC Design Laboratories Zaventem Belgium

ISBN: (纸本)0769514715

Third generation's wireless communications systems comprise advanced signal processing algorithms that increase the computational requirements more than ten-fold over 2G's systems. Numerous existing and emerging standards require flexible implementations ("software radio"). Thus efficient implementations of the performance-critical parts as Turbo decoding on programmable architectures are of great interest. Besides high-performance DSPs, application-customized RISC cores offer the required performance while still maintaining the aspired flexibility. This paper presents for the first time Turbo decoder implementations on customized RISC cores and compares the results with implementations on state-of-the-art VLIW DSPs. The results of our studies show that the Log-MAP performance is about 50% higher that on an ST120, a current VLIW architecture.

关键词： Hardware Channel coding Decoding Digital signal processing Reduced instruction set computing VLIW signal generators Wireless communication signal processing algorithms Software standards

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Correctly rounded floating-point division for DSP-enabled FPGAs

Correctly rounded floating-point division for DSP-enabled FP...

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International conference on Field Programmable Logic and Applications

作者： Bogdan Pasca Altera European Technology Centre High Wycombe UK

Floating-point division is a very costly operation in FPGA designs. High-frequency implementations of the classic digit-recurrence algorithms for division have long latencies (of the order of the number fraction bits) and consume large amounts of logic. Additionally, these implementations require important routing resources, making timing closure difficult in complete designs. In this paper we present two multiplier-based architectures for division which make efficient use of the DSP resources in recent Altera FPGAs. By balancing resource usage between logic, memory and DSP blocks, the presented architectures maintain high frequencies is full designs. Additionally, compared to classical algorithms, the proposed architectures have significantly lower latencies. The architectures target faithfully rounded results, similar to most elementary functions implementations for FPGAs but can also be transformed into correctly rounded architectures with a small overhead. The presented architectures are built using the Altera DSP Builder advanced framework and will be part of the default blockset.

关键词： Digital signal processing Polynomials Field programmable gate arrays Approximation error Memory management

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Trends in design of massively parallel coprocessors implemented in digital ASICs

Trends in design of massively parallel coprocessors implemen...

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International Joint conference on Neural Networks (IJCNN)

作者： P. Foldesy Analogic and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

This paper collects the most recent parallel coprocessors and highlights the recent trends. It is shown that the single chip massively parallel processor implementations seem to disappear from the scientific investigations (with the exception of low-level near-sensor image processing). Meanwhile, the formerly developed architectures have moved inside complex system-on-chips/microprocessors. The common aspect of the recent architectures is the advanced processing element and internal interconnection solutions, and the dominant mid-grain parallelism (i.e. up to a hundred processing element per chip).

关键词： Coprocessors Application specific integrated circuits Concurrent computing Parallel processing Systolic arrays Radar signal processing signal processing algorithms Laboratories Automation Image processing

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Low power implementation of a turbo-decoder on programmable architectures

Low power implementation of a turbo-decoder on programmable ...

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Asia and South Pacific Design Automation conference

作者： F. Gilbert A. Worm N. Wehn Institute of Microelectronic Systems Department of Electrical Engineering and Information Technology University of Kaiserslautern Germany

ISBN: (纸本)0780366336

Low power is an extremely important issue for future mobile radio systems. Channel decoders are essential building blocks of base-band signal processing units in mobile terminal architectures. Thus low power implementations of advanced channel decoding techniques are mandatory. In this paper we present a low power implementation of the most sophisticated channel decoding algorithm (turbo-decoding) on programmable architectures. Low power optimization is performed on two abstraction levels: on the system level by the use of an intelligent cancellation technique, and on the implementation level by the use of dynamic voltage scaling. With these techniques we can reduce the worst case energy consumption to 55% using data of state-of-the-art processors. Our approach is also applicable for hardware implementations. To the best of our knowledge, this is the first in-depth study of low power implementations of turbo-decoders based on voltage scheduling for third generation wireless systems.

关键词： Dynamic voltage scaling Turbo codes Iterative decoding Processor scheduling Forward error correction signal processing algorithms Channel coding Error correction Redundancy Bit error rate

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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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International conference on Parallel processing (ICPP)

作者： Zain-Ul-Abdin Anders Åhlander Bertil Svensson Centre for Research on Embedded Systems (CERES) Halmstad University Halmstad Sweden Saab AB Gothenburg Sweden

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. Many core 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 many core architecture, namely a 16-core Epiphany processor, by implementing two significantly large case studies, viz. an auto focus 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 auto focus 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 back projection), 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： signal processing algorithms Computer architecture Synthetic aperture radar Parallel processing Radar imaging Image resolution

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