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

共 419 条记录，以下是31-40 订阅

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FPGA-based high-performance arithmetic pipeline synthesis for DSP applications

FPGA-based high-performance arithmetic pipeline synthesis fo...

引用

advanced signal processing algorithms, architectures, and implementations xv

作者： Liddicoat, Albert A. Cary, Shawn Pang, Jackson Department of Electrical Engineering California Polytechnic State University San Luis Obispo

Today FPGAs are used in many digital signal processing applications. In order to design high-performance area efficient DSP pipelines various arithmetic functions and algorithms must be used. In this work, FPGA-based functional units for Cosine, Arctangent, and the Square Root functions are designed using bipartite tables and iterative algorithms. The bipartite tabular approach was four to 12 times faster than the iterative approach but requires 8-40 times more FPGA hardware resources to implement these functions. Next, these functions along with the FPGA hardware multipliers and a reciprocal bipartite table unit are used for hardware rectangular-to-polar and polar-to-rectangular conversion macro-functions. These macro-functions allow for a 7-10 times performance improvement for the high-performance pipelines or an area reduction of 9-17 times for the low cost implementations. In addition, software tool to design FPGA based DSP pipelines using the Cosine, Sine, Arctangent, Square Root, and Reciprocal units with the hardware multipliers is presented.

关键词： Digital signal processing

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Local regularization and Bayesian hypermodels

Local regularization and Bayesian hypermodels

引用

advanced signal processing algorithms, architectures, and implementations xv

作者： Calvetti, Daniela Somersalo, Erkki Department of Mathematics Center for Modeling Integrated Metabolic Systems Case Western Reserve University Cleveland OH United States Department of Mathematics Helsinki University of Technology Helsinki Finland

In this paper, we restore a one-dimensional signal that a priori is known to be a smooth function with a few jump discontinuities from a blurred, noisy specimen signal using a local regularization scheme derived in a Bayesian statistical inversion framework. The proposed method is computationally effective and reproduces well the jump discontinuities, thus is an alternative to using a total variation (TV) penalty as a regularizing functional. Our approach avoids the non-differentiability problems encountered in TV methods and is completely data driven in the sense that the parameter selection is done automatically and requires no user intervention. A computed example illustrating the performance of the method when applied to the solution of a deconvolution problem is also presented.

关键词： signal processing

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The sub-optimal receiver structure for the VSB DTV system with an array antenna

The sub-optimal receiver structure for the VSB DTV system wi...

引用

advanced signal processing algorithms, architectures, and implementations xv

作者： Park, Jaehyun Chun, Joohwan Kim, Ju Yeun Lim, JongSoo Dept. of Electrical Engineering and Computer Science Korea Advanced Institute of Science and Technology Daejeon Korea Republic of Electronics and Telecommunications Research Institute Daejeon Korea Republic of

We look into the optimal structure for the DTV (Digital TV) receiver system with an array antenna. In this paper, we apply the ML(Maximum likelihood) approach, which is a classical method in the theory of detection and estimation. And we examine the limitation of it. It is that the number of multi-paths should be less than that of antennas. But it conflicts with the indoor channel environment. To deal with this problem, we propose a sub-optimal structure, which has lower complexity and computation load, as compared with the optimal structure. And to verify the performance, we compare the SER(symbol error rate) curve of each system by computer simulation.

关键词： signal receivers

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Bayesian image deblurring and boundary effects

Bayesian image deblurring and boundary effects

引用

advanced signal processing algorithms, architectures, and implementations xv

We consider the deconvolution problem of estimating an image from a noisy blurred version of it. In particular, we are interested in the boundary effects: since the convolution operator is non-local, the blurred image depend on the scenery outside the field of view. Ignoring this dependency leads to image distortion known as boundary effect. In this article, we consider two different approaches to treat the non-locality. One is to estimate the image extended outside the field of view. The other is to treat the influence of the out of view scenery as boundary clutter. Both approaches are considered from the Bayesian point of view.

关键词： Image processing

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VLSI implementations OF NUMBER THEORETIC CONCEPTS WITH APPLICATIONS IN signal-processing

VLSI IMPLEMENTATIONS OF NUMBER THEORETIC CONCEPTS WITH APPLI...

引用

CONF ON advanced signal processing algorithms, architectures, AND implementations 3

作者： WIGLEY, NM JULLIEN, GA Univ. of Windsor (Canada)

ISBN: (纸本)081940943X

This paper explores novel techniques involving number theoretic concepts to perform real-time digital signal processing for high bandwidth data stream applications in digital signal processing. Often the arithmetic manipulations are simple in form (cascades of additions and multiplications in a well defined structure) but the numbers of operations that have to be computed every second can be large. This paper discusses ways in which new number theoretic mapping techniques can be used to perform DSP operations by both reducing the amount of hardware involved in the circuitry and by allowing the construction of very benign architectures down to the individual cells. Such architectures can be used in aggressive VLSI/ULSI implementations. We restrict ourselves to the computation of linear filter and transform algorithms, with the inner product form, which probably account for the vast majority of digital signal processing functions implemented commercially.

关键词： Digital signal processing Switching Radon Binary data Transistors Logic Very large scale integration Clocks CRTs signal processing

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TOMOGRAPHIC TECHNIQUES IN IMAGE AND signal-processing

TOMOGRAPHIC TECHNIQUES IN IMAGE AND SIGNAL-PROCESSING

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

作者： SNYDER, DL Washington Univ. (United States)

An iterative solution is given for solving deblurring problems having nonnegativity constraints through the use of methods motivated by tomographic imaging.

ISBN: (纸本)0819404098

An iterative solution is given for solving deblurring problems having nonnegativity constraints through the use of methods motivated by tomographic imaging.

关键词： Tomography Expectation maximization algorithms signal processing Image processing Reconstruction algorithms Imaging systems Detection and tracking algorithms Sensors Stochastic processes Image filtering

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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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Time-varying noise

Time-varying noise

引用

Conference on advanced signal processing algorithms, architectures, and implementations XIV

作者： Galleani, L Cohen, L CUNY New York NY 10021 USA

We obtain the exact Wigner spectrum for non-white Gaussian noise. As a special case the Wigner spectrum for the Wiener process is obtained.

ISBN: (纸本)0819454974

We obtain the exact Wigner spectrum for non-white Gaussian noise. As a special case the Wigner spectrum for the Wiener process is obtained.

关键词： signal processing

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Regression in sensor networks: Training distributively with alternating projections

Regression in sensor networks: Training distributively with ...

引用

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...

引用

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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