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

共 465 条记录，以下是231-240 订阅

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REAL-TIME RADAR signal-processing FOR AUTONOMOUS AIRCRAFT LANDING 4

REAL-TIME RADAR SIGNAL-PROCESSING FOR AUTONOMOUS AIRCRAFT LA...

引用

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

作者： SADJADI, F HELGESON, M RADKE, J STEIN, G Machine Intelligence Corp. (United States) Honeywell Inc. (United States)

ISBN: (纸本)0819412767

Landing in poor weather is a crucial problem for the air transportation system. To aid the pilots for these conditions several solutions have been suggested and/or implemented including instrument landing systems (ILS) and microwave landing systems (MLS) that put the responsibility of the landing to a large extent in the hands of the airport facilities. These systems even though useful are not available due to their high costs even in a few major metropolitan airports. This shortcoming has generated interest in providing all weather capabilities not on the landing facility but on the vehicle itself. The Synthetic Vision System Technology Demonstration sponsored by the United States Federal Aviation Administration (FAA) and the U.S. Air Force represents an effort to respond to the above needs. In this paper we present a summary of a typical synthetic vision system. This system consists of a scanning 35 GHz radar, a scanning antenna, a signal/image processor and a head up display (HUD). The pilot is presented a final perspective image of the scene sensed by the radar with associated flight guidance symbology. This system is implemented in real time hardware and has been undergoing tower and flight testing under a variety of weather conditions since early 1992.

关键词： Radar signal processing Antennas Heads up displays Video Digital signal processing Process control Radar signal processing Image enhancement Imaging systems

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Example of combined algorithm development and architecture design (Keynote Paper)

Example of combined algorithm development and architecture d...

引用

advanced signal processing algorithms, architectures, and implementations iiI

作者： Deprettere, Ed F. Delft Univ. of Technology Delft Netherlands

Matrix computation and signal processing applications can be given effective and efficient concrete forms in a systematic way if (1) the originating problems have formal and complete specifications and (2) the associa... 详细信息

ISBN: (纸本)081940943X

关键词： signal processing

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An efficient high-resolution time-frequency representation

An efficient high-resolution time-frequency representation

引用

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

作者： Nelson, D. J. Smith, D. C. US Dept Def R61 Ft George G Meade MD 20755 USA

ISBN: (纸本)0819463922

We address the problem of efficient resolution, detection and estimation of weak tones in a potentially massive amount of data. Our goal is to produce a relatively small reduced data set characterizing the signals in the environment in time and frequency. The requirements for this problem are that the process must be computationally efficient, high gain and able to resolve signals and efficiently compress the signal information into a form that may be easily displayed and further processed. We base our process on the cross spectral representation we have previously applied to other problems. In selecting this method, we have considered other representations and estimation methods such as the Wigner distribution and Welch's method. We compare our method to these methods. The spectral estimation method we propose is a variation of Welch's method and the cross-power spectral (CPS) estimator which was first applied to signal estimation and detection in the mid 1980's. The CPS algorithm and the method we present here are based on the principles first described by Kodera et at. now frequently called the reassignment principle.

关键词： signal detection signal estimation transient signals time-frequency representations

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ITERATIVE LEAST-SQUARES RECONSTRUCTION OF THE FOURIER PHASE OF AN IMAGE FROM THE MODULO-2-PI PHASE OF ITS BISPECTRUM

ITERATIVE LEAST-SQUARES RECONSTRUCTION OF THE FOURIER PHASE ...

引用

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

作者： ERDEM, AT SEZAN, MI Eastman Kodak Co. (United States)

ISBN: (纸本)081940943X

We propose a novel technique for the least-squares reconstruction of the Fourier phase of an image from the modulo-2(pi) phase of its bispectrum. The proposed technique unwraps the given bispectral phase and reconstructs the Fourier phase of the image iteratively through alternating projections onto two particular constraint sets: (1) the set of bispectral phase functions that differ from the given modulo-2(pi) bispectral phase by only integral multiples of 2(pi) at every sample point, and (2) the set of bispectral phase functions that correspond to deterministic signals. We formally define the above sets and their corresponding projection operators. We describe the iterative algorithm in detail, and provide experimental results to demonstrate its performance.

关键词： Tantalum Reconstruction algorithms Stereolithography Image restoration Aluminum Image quality Phase measurement Plutonium Astronomy Image processing

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Operational data processing to improve SPOT image resolution

Operational data processing to improve SPOT image resolution

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

作者： Breton, E Latry, C Lévy, F Rougé, B IGN F-31055 Toulouse France

ISBN: (纸本)0819441880

Mainly digital images are under sampled. It is the same for SPOT digital image satellite. The very meaning is that the instrument is too much powerful for this sampling. The worth side effect is that artifacts (aliasing) are introduced in the image, the good side is that images can be improved if the sampling density is increased. In this paper we use images from the two HRVIR instruments onboard SPOT1-4 satellite to multiply by a factor two the density and the resolution of the image.

关键词： super resolution operational data processing interlaced sampling interpolation correlation SPOT

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Optimum microphone placement for array sound capture

Optimum microphone placement for array sound capture

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Conference on advanced signal processing - algorithms, architectures, and implementations Vii

作者： Rabinkin, DV Renomeron, RJ French, JC Flanagan, JL Rutgers Univ. (United States)

ISBN: (纸本)0819425842

Microphone arrays can be used for high-quality sound pick up in reverberant and noisy environments. The beamforming capabilities of microphone array systems allow highly directional sound capture, providing superior signal-to-noise ratio (SNR) when compared to single microphone performance. There are two aspects in microphone array system performance: The ability of the system to locate and track sound sources, and its ability to selectively capture sound from those sources. Both aspects of system performance are strongly affected by the spatial placement of microphone sensors. A method is needed to optimize sensor placement based on geometry of the environment and assumed sound source behavior. The objective of the optimization is to obtain the greatest average system SNR using a specified number of sensors. A method is derived to evaluate array performance for a given array configuration defined by the above mentioned metrics. An overall performance function is described based on these metrics. A framework for optimum placement of sensors under the practical considerations of possible sensor placement and potential location of sound sources is also characterized.

关键词： signal to noise ratio Sensors Error analysis Interference (communication) Acoustics Monte Carlo methods signal attenuation Statistical analysis Environmental sensing signal processing

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Time-frequency domain reflectometry for smart wiring systems

Time-frequency domain reflectometry for smart wiring systems

引用

Conference on advanced signal processing algorithms, architectures and implementations Xii

作者： Shin, YJ Song, ES Kim, JW Park, JB Yok, JG Powers, EJ Univ Texas Dept Elect & Comp Engn Austin TX 78712 USA

ISBN: (纸本)0819445584

In this paper, a new high resolution reflectometry scheme, time-frequency domain reflectometry, is proposed to detect and locate a fault in wiring. Traditional reflectometry methods have been achieved in either the time domain or frequency domain only. However, time-frequency domain reflectometry utilizes time and frequency information of a transient signal to detect and locate the fault. The time-frequency domain reflectometry approach described in this paper is characterized by time-frequency reference signal design and post-processing of the reference and reflected signals to detect and locate the fault. Using a computational electromagnetic model of a coaxial cable with a fault, time-frequency domain reflectometry has been demonstrated. Knowledge of time and frequency localized information for the reference and reflected signal gained via time-frequency analysis, allows one to detect the fault and estimate the location accurately.

关键词： time-frequency domain reflectometry chirp signal fault detection fault location smart wiring

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Blind source separation using joint signal representations for arbitrary variables.

Blind source separation using joint signal representations f...

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Conference on advanced signal processing - algorithms, architectures, and implementations Vii

作者： Belouchrani, A Amin, MG Villanova Univ. (United States)

ISBN: (纸本)0819425842

Blind source separation is an emerging field of fundamental research with a broad range of applications. It is motivated by practical problems that involve several source signals and several sensors. Each sensor receives an instantaneous linear mixture of the source signals. The problem of the blind source separation consists then of recovering the original waveforms of the sources without any knowledge of the mixture structure. So far, the problem of the blind source separation has been solved using statistical information available on the source signals. A blind source separation approach for non-stationary signals based on time-frequency representations (TFR) have been recently introduced by the authors (SPIE 1996). Herein, we generalize the TFR based blind source separation approach to arbitrary variables, including time and frequency. 'Spatial joint arbitrary variable distributions' are introduced and used for blind source separation via joint diagonalization techniques.

关键词： blind source separation time-frequency representation joint signal representation spatial joint arbitrary variable distributions joint diagonalization

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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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RECURSIVE LEAST-SQUARES LEARNING algorithms FOR NEURAL NETWORKS

RECURSIVE LEAST-SQUARES LEARNING ALGORITHMS FOR NEURAL NETWO...

引用

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

作者： LEWIS, PS HWANG, JN Los Alamos National Lab. (United States) Univ. of Washington (United States)

ISBN: (纸本)0819404098

This paper presents the development of a pair of recursive least squares (ItLS) algorithms for online training of multilayer perceptrons which are a class of feedforward artificial neural networks. These algorithms incorporate second order information about the training error surface in order to achieve faster learning rates than are possible using first order gradient descent algorithms such as the generalized delta rule. A least squares formulation is derived from a linearization of the training error function. Individual training pattern errors are linearized about the network parameters that were in effect when the pattern was presented. This permits the recursive solution of the least squares approximation either via conventional RLS recursions or by recursive QR decomposition-based techniques. The computational complexity of the update is 0(N2) where N is the number of network parameters. This is due to the estimation of the N x N inverse Hessian matrix. Less computationally intensive approximations of the ilLS algorithms can be easily derived by using only block diagonal elements of this matrix thereby partitioning the learning into independent sets. A simulation example is presented in which a neural network is trained to approximate a two dimensional Gaussian bump. In this example RLS training required an order of magnitude fewer iterations on average (527) than did training with the generalized delta rule (6 1 BACKGROUND Artificial neural networks (ANNs) offer an interesting and potentially useful paradigm for signal processing and pattern recognition. The majority of ANN applications employ the feed-forward multilayer perceptron (MLP) network architecture in which network parameters are " trained" by a supervised learning algorithm employing the generalized delta rule (GDIt) [1 2]. The GDR algorithm approximates a fixed step steepest descent algorithm using derivatives computed by error backpropagatiori. The GDii algorithm is sometimes referred to as the

关键词： Algorithm development Detection and tracking algorithms Evolutionary algorithms Neural networks Network architectures Artificial neural networks Pattern recognition Chemical elements Machine learning signal processing

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