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Optimal and suboptimal detection of Gaussian signals in noise: Asymptotic relative efficiency

Optimal and suboptimal detection of Gaussian signals in nois...

引用

advanced signal processing algorithms, architectures, and implementations XV

作者： Sung, Youngchul Tong, Lang Poor, H. Vincent School of Electrical and Computer Engineering Cornell University Ithaca NY 14850 Dept. of Electrical Engineering Princeton University Princeton NJ 08544

The performance of Bayesian detection of Gaussian signals using noisy observations is investigated via the error exponent for the average error probability. Under unknown signal correlation structure or limited processing capability it;is reasonable to use the simple quadratic detector that is optimal in the case of an independent and identically distributed (i.i.d.) signal. Using the large deviations principle, the performance of this detector (which is suboptimal for non-i.i.d. signals) is compared with that of the optimal detector for correlated signals via the asymptotic relative efficiency defined as the ratio between sample sizes of two detectors required for the same performance in the large-sample-size regime. The effects of SNR on the ARE are investigated. It is shown that the asymptotic efficiency of the simple quadratic detector relative to the optimal detector converges to one as the SNR increases without bound for any bounded spectrum, and that the simple quadratic detector performs as well as the optimal detector for a wide range of the correlation values at high SNR.

关键词： signal processing

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PIPELINED IMPLEMENTATION OF HIGH-SPEED STAR-RLS ADAPTIVE FILTERS 4

PIPELINED IMPLEMENTATION OF HIGH-SPEED STAR-RLS ADAPTIVE FIL...

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4TH CONF ON advanced signal processing algorithms, architectures, AND implementations

作者： RAGHUNATH, KJ PARHI, KK Univ. of Minnesota/Twin Cities (United States)

ISBN: (纸本)0819412767

The popular QR decomposition based recursive least-squares (RLS) adaptive filtering algorithm (referred to as QRD-RLS) has a limited speed of operation depending on the processing time of each individual cell. A new scaled tangent rotation based STAR-RLS algorithm has been designed which is suitable for fine-grain pipelining and also has a lower complexity. The inter-cell communication is also reduced by about half. A direct application of look-ahead to STAR-RLS can still lead to some increase in hardware. In this paper look- ahead is applied using delayed update operations such that the complexity is reduced while maintaining a fast convergence. The pipelined STAR-RLS (or PSTAR-RLS) algorithm requires the same number of operations (multiplications or divisions) as the serial STAR-RLS algorithm. Practical issues related to the STAR-RLS algorithm such as numerical stability and dynamic range are also examined.

关键词： Digital filtering Algorithm development Error analysis Stars Tantalum Very large scale integration Data modeling Image processing Numerical stability Thulium

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Scale and translation invariant shape and signal classification and detection

Scale and translation invariant shape and signal classificat...

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Conference on advanced signal processing algorithms architectures and implementations Xiii

作者： Williams, WJ Univ Michigan Dept Elect Engn & Comp Sci Ann Arbor MI 48109 USA

ISBN: (纸本)0819450782

Highly sophisticated methods for detection and classification of signals and images are available. However, most of these methods are not robust to nonstationary variations such as imposed by Doppler effects or other forms of warping. Fourier methods handle time-shift or frequency shift variations in signals or spatial shifts in images. A number of methods have been developed to overcome these problems. In this paper we discuss some specific approaches that have been motivated by time-frequency analysis. Methodologies developed for images can often be profitably used for fime-frequency analysis as well, since these representations are essentially images. The scale transform introduced by Cohen can join Fourier transforms in providing robust representations. Scale changes are common in many signal and image scenarios. We call the representation which results from appropriate transformations of the object of interest the Scale and Translation Invariant Representation or STIR. The STIR method is summarized and results from machine diagnosis, radar, marine mammal sounds, TMJ sounds, speech and word spotting are discussed. Some of the limitations and variations of the method are discussed to provide a rationale for selection of particular elements of the method.

关键词： time-frequency analysis scale transforms pattern recognition radar machine monitoring biometrics word spotting target identification

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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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Regression in sensor networks: Training distributively with alternating projections

Regression in sensor networks: Training distributively with ...

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advanced signal processing algorithms, architectures, and implementations XV

作者： Predd, Joel B. Kulkarni, Sanjeev R. Vincent Poor, H. Department of Electrical Engineering Princeton University Princeton NJ United States

Wireless sensor networks (WSNs) have attracted considerable attention in recent years and motivate a host of new challenges for distributed signal processing. The problem of distributed or decentralized estimation has often been considered in the context of parametric models. However, the success of parametric methods is limited by the appropriateness of the strong statistical assumptions made by the models. In this paper, a more flexible nonparametric model for distributed regression is considered that is applicable in a variety of WSN applications including field estimation. Here, starting with the standard regularized kernel least-squares estimator, a message-passing algorithm for distributed estimation in WSNs is derived. The algorithm can be viewed as an instantiation of the successive orthogonal projection (SOP) algorithm. Various practical aspects of the algorithm are discussed and several numerical simulations validate the potential of the approach.

关键词： signal processing

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signal selection method of a directional diversity for VSB receiver

Signal selection method of a directional diversity for VSB r...

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advanced signal processing algorithms, architectures, and implementations XV

作者： Bae, Jae Hwui Kim, Juyeun Lim, Jong Soo Lee, Soo In Han, Dong Seok Electronics and Telecommunication Research Institute Kyungpook National University

We propose an output signal selection method for the directional diversity in VSB receiver which is to improve the reception performance of VSB system in severe Rayleigh fading channel. The VSB system has only about 0.3% of known training signal for the receiver in a data field and the reception performance of VSB receiver is degraded significantly when there are near-0 dB ghosts in received signal. To overcome this problem, the directional diversity is suggested. In directional diversity the selection of an output signal with best channel condition in point of VSB equalizer is very important to improve VSB reception performance. For the selection of the optimal signal, we extracted channel profiles in time domain for all the signals by correlating the PN511 sequence in VSB field sync and selected one signal by comparing the channel profiles. The simulation results show that the proposed method selects a signal with the best channel condition among the signals, so the reception performance of the VSB system can be improved in severe Rayleigh channels.

关键词： signal receivers

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Dynamically parameterized algorithms and architectures to exploit signal variations for improved performance and reduced power

Dynamically parameterized algorithms and architectures to ex...

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IEEE International Conference on Acoustics, Speech, and signal processing

作者： Burleson, W Tessier, R Goeckel, D Swaminathan, S Jain, P Euh, J Venkatraman, S Thyagarajan, V Univ Massachusetts Dept Elect & Comp Engn Amherst MA 01003 USA

ISBN: (纸本)0780370414

signal processing algorithms and architectures can use dynamic reconfiguration to exploit variations in signal statistics with the objectives of improved performance and reduced power consumption. Parameters provide a simple and formal way to characterize incremental changes to a computation and its computing mechanism. This paper examines five parameterized computations which are typically implemented in hardware for a wireless multimedia terminal: 1) motion estimation, 2) discrete cosine transform, 3) Lempel-Ziv lossless compression, 4) 3D graphics light rendering and 5) Viterbi decoding, Each computation is examined for the capability of dynamically adapting the algorithm and architecture parameters to variations in their respective input signals. Dynamically reconfigurable low-power implementations of each computation are currently underway.

关键词： Digital signal processing

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Self calibration techniques for high-resolution array processing 3

Self calibration techniques for high-resolution array proces...

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advanced algorithms and architectures for signal processing iii 1988

作者： Friedlander, Benjamin Signal Processing Technology Ltd. 703 Coastland Drive Palo AltoCA94303 United States

Eigenstructure -based direction finding techniques are capable of resolving closely spaced sources, but are very sensitive to errors in the calibration of the array. A first order sensitivity analysis is performed to quantify this sensitivity. A self -calibration technique based on simultaneous estimation of the directions -of- arrival and of the uncertain array parameters is proposed to alleviate the problems caused by this sensitivity. The properties of the proposed technique are studied using the Cramer -Rao bound, and a class of practical joint estimation algorithms is presented. © 1988 Proceedings of SPIE - The International Society for Optical Engineering. All rights reserved.

关键词： Array processing

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ADAPTIVE ANTENNA BEAMFORMING USING ORTHOGONAL DECOMPOSITION 4

ADAPTIVE ANTENNA BEAMFORMING USING ORTHOGONAL DECOMPOSITION

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4TH CONF ON advanced signal processing algorithms, architectures, AND implementations

作者： YU, KB GE Corporate Research and Development Ctr. (United States)

ISBN: (纸本)0819412767

An algorithm has been developed to control the antenna array beam pattern for multiple beam antenna (MBA) or phased array systems. The algorithm is motivated by military satellite communications applications where the uplink received antenna is desired to provide beamforming capability for selective earth coverage and jamming protection. The problem can be formulated as to determine the control weight to meet the user gain and jammer null requirements in their known directions subject to the norm constraint of the weight defined by the power conservation law. The algorithm makes use of an orthogonal decomposition of the weight vector into the constraint weight vector and the zero-output weight vector. If the constraint weight vector satisfies the norm bound constraint, the zero-output vector can further be optimized to minimize the deviation of the resulting weight from the quiescent weight. If the constraint weight vector does not satisfy the norm bound constraint, a recursive procedure has been developed which provides flexibility in the determination of the constraint vectors, the constraint order and the constraint phase optimization. This algorithm provides a practical means to achieve the constraints subject to the norm bound condition.

关键词： Antennas Algorithm development Phased arrays Control systems Nulling interferometry Satellite communications Telecommunications Data processing Mobile communications Receivers

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Design of a hybrid prefix adder for non-uniform input arrival times

Design of a hybrid prefix adder for non-uniform input arriva...

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Conference on advanced signal processing algorithms, architectures and implementations XII

作者： Choi, Y Swartzlander, EE Univ Texas Elect & Comp Engn Dept Austin TX 78712 USA

ISBN: (纸本)0819445584

This paper examines the design of a hybrid prefix adder under the condition of non-uniform input signal arrival. This is encountered in the final adder for fast parallel multipliers, which use column compression reduction. The prefix graph scheme efficiently accommodates the non-uniform arrival times. Rules are presented for designing hybrid prefix adders under such conditions. This rule produces adders which are faster and less complex than previous work.

关键词： prefix adder non-uniform input signal arrival parallel multipliers

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