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1995 International Conference on Acoustics, Speech, and Signal Processing

9-12 May 1995

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  • Ocean acoustic tomography experiment using a vertical array

    Publication Year: 1995
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (49 KB)

    Summary form only given. An acoustic tomography experiment, supported by European MAST contracts, has been carried out in the all occidental Mediterranean sea. During 10 months in 1994, acoustic phase shift keying signals have been emitted at a pulse rate of 1 per 4 hours and received by seven sources-receivers localized in the all basin and spaced by several hundred kilometers. In addition, signa... View full abstract»

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  • Cosmology with gravitational lenses: time delay and microlensing

    Publication Year: 1995, Page(s):2891 - 2894 vol.5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB)

    Astronomers study quasars because of their huge distances; they sample the universe when it was only 1/10 of the present age. In about a dozen known cases, a random galaxy along the line of sight causes the quasar's image to be double or multiple, providing cosmologists with a tool for study of young galaxies and the structure of space and time itself. In these gravitational lens alignments, the i... View full abstract»

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  • High frequency acoustic imaging in the ocean

    Publication Year: 1995, Page(s):2793 - 2796 vol.5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB)

    The use of acoustical techniques in oceanography is well known. Traditional applications have concentrated on long range, low frequency propagation. Due a convergence of both technology and national interests, consideration of the possibilities for creating high frequency, real time, multi-dimensional imaging systems (2 and 3-D) has emerged. Unfortunately, due to a lack of experimental investigati... View full abstract»

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  • A novel modular systolic array architecture for full-search block matching motion estimation

    Publication Year: 1995, Page(s):3303 - 3306 vol.5
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (348 KB)

    Proposes a modular systolic array architecture for the full-search block matching motion estimation algorithm (FBMA). With this novel architecture, the authors are able to generate a motion vector for every reference block in raster scan order while achieving 100% processor utilization and high throughput rate. Furthermore, they devised a scheme to save the pin count (I/O) by sharing memory units.... View full abstract»

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  • Narrowband delay estimation for thalamocortical epileptic seizure pathways

    Publication Year: 1995, Page(s):2939 - 2942 vol.5
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (344 KB)

    Time series analysis applications of eigenstructure algorithms focus on temporal frequency estimation. The authors show that the ESPRIT algorithm can also be applied to simple phase delays for sinusoids. They show that a time delay data model can be rendered in the ESPRIT matrix pencil structure. The PRO-ESPRIT formulation can be then utilized to solve for phase delays among sinusoids. An applicat... View full abstract»

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  • Recurrent neural networks and discrete wavelet transform for time series modeling and prediction

    Publication Year: 1995, Page(s):3359 - 3362 vol.5
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (348 KB)

    A new approach is presented for time-series modeling and prediction using recurrent neural networks (RRNs) and a discrete wavelet transform (DWT). A specific DWT, based on the cubic spline wavelet, produces a set of wavelet coefficients from coarse to fine scale levels. The RNN has its current output fed back to its input nodes, forming a nonlinear autoregressive model for predicting future wavele... View full abstract»

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  • A RISC controlled motion estimation processor for MPEG-2 and HDTV encoding

    Publication Year: 1995, Page(s):3287 - 3290 vol.5
    Cited by:  Papers (2)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB)

    Describes the architecture of a hierarchical motion estimation processor, with respect to the MPEG-2 encoding standard. This processor can also be used in HDTV applications. The motion estimation processing is in 2 steps: first full-pixel then half-pixel. Several modes are possible, depending on the image types (I, P or B-MPEG terminology, frame based or field based). A decision is taken in this p... View full abstract»

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  • An overview of signal processing in astronomy

    Publication Year: 1995
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (32 KB)

    Abstract only given, as follows: signal processing is extensively used in astronomy for spectroscopy and synthetic imaging. Signals from celestial sources are stochastic in nature and weak compared to local sources of noise. Thus the emphasis is on improving the signal-to-noise-ratio. This necessitates the use of large bandwidths and real time processing of the signal. Considerable practical gain ... View full abstract»

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  • Passive target motion analysis using multipath differential time-delay and differential Doppler shifts

    Publication Year: 1995, Page(s):3139 - 3142 vol.5
    Cited by:  Papers (2)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB)

    Target motion analysis (TMA) is a basic function in passive sonar, generally using bearings only or bearings and frequency measurements. But due to the use of arrays whose aperture are practically negligible considering the target range, and even if the platform moves itself to yield a “synthetic array”, the classical TMA methods take minutes to give an acceptable solution. Hence, this... View full abstract»

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  • Language identification using phoneme recognition and phonotactic language modeling

    Publication Year: 1995, Page(s):3503 - 3506 vol.5
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (416 KB)

    A language identification technique using multiple single-language phoneme recognizers followed by n-gram language models yielded top performance at the March 1994 NIST language identification evaluation. Since the NIST evaluation, work has been aimed at further improving performance by using the acoustic likelihoods emitted from gender-dependent phoneme recognizers to weight the phonotactic likel... View full abstract»

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  • Blind system identification using multiple sensors

    Publication Year: 1995, Page(s):3171 - 3174 vol.5
    Cited by:  Papers (6)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (276 KB)

    This paper presents a study of blind system identification using measurements of multiple sensors. The mathematical model we consider here consists of multiple FIR channels driven by an unknown common source. We first show an orthogonal complement system matrix which is very useful in understanding the multi-channel system and developing efficient identification techniques. We then show a fast max... View full abstract»

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  • The partitioned eigenvector method for towed array shape estimation

    Publication Year: 1995, Page(s):3103 - 3106 vol.5
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB)

    The eigenvector method for estimating the positions of the receivers of an ocean-towed array is based on the eigendecomposition of the array signal correlation matrix to find the phase delays between the array receivers. Previous work has shown that for reasonable SNR, the bias and variance of the phase estimates is relatively independent of the number of receivers in the array. This suggests that... View full abstract»

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  • Properties of predictor based on relative neighborhood graph localized FIR filters

    Publication Year: 1995, Page(s):3391 - 3394 vol.5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (212 KB)

    A time signal prediction algorithm based on relative neighborhood graph (RNG) localized FIR filters is defined. The RNG connects two nodes, of input space dimension D, if their lune does not contain any other node. The FIR filters associated with the nodes, are used for local approximation of the training vectors belonging to the lunes formed by the nodes. The predictor training is carried out by ... View full abstract»

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  • Assimilation of satellite data in beta-plane ocean circulation models

    Publication Year: 1995, Page(s):2789 - 2792 vol.5
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (356 KB)

    The paper discusses a scheme based on Kalman-Bucy filters for the assimilation of satellite data in equatorial beta plane ocean circulation models. The state equation of the Kalman-Bucy filter is obtained by decoupling the nonlinearities from the Navier-Stokes equations by assuming an inviscid isentropic shallow water motion. Direct application of the Kalman-Bucy filter leads to a computationally ... View full abstract»

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  • The use of a multilayer perceptron for adaptive correlation processing in a acoustically complex environment

    Publication Year: 1995, Page(s):3591 - 3594 vol.5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB)

    Robust detection and classification for active sonar processing in acoustically complex environments is a difficult and challenging problem. Complex bathymetry and propagation effects may cause multipath spreading of the transmitted signal before it arrives back at the receiver. Correlating with a replica of the transmitted signal may thus severely degrade the performance of a system. The paper ex... View full abstract»

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  • Semi-systolic array based motion estimation processor design

    Publication Year: 1995, Page(s):3299 - 3302 vol.5
    Cited by:  Papers (4)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB)

    This paper presents a new VLSI architecture for full-search block matching algorithm. The proposed architecture has two specific features: (1) it has a processor element (PE) array which provides sufficient computational power, where PEs work in a semi-systolic style and (2) it contains stream memory banks which provide scheduled data flow to reduce idle operations within PE array. By exploiting b... View full abstract»

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  • An algorithm for prewhitening a large parallel line array

    Publication Year: 1995, Page(s):3543 - 3546 vol.5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB)

    A steepest descent gradient algorithm prewhitens the signal received by a uniform planar array. Previously developed methods work only on single line arrays. A novel model facilitates algorithm development by reducing problems dimensionality associated with exact multi-dimensional autoregressive (AR) modeling. The discrete source model, based on a Kronecker product of the received signals between ... View full abstract»

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  • Hidden process modeling

    Publication Year: 1995, Page(s):2935 - 2938 vol.5
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB)

    Presents a method that is a generalization of hidden Markov modeling for the situations where elementary events cannot be clearly defined. A family of fuzzy sets, induced on a temporal universe, is used to model the dynamic trajectory of a physical system as a collection of hidden processes that coexist at the same time, but to different degrees. An algorithm based on unsupervised pattern recognit... View full abstract»

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  • Detection of masses on mammograms using a convolution neural network

    Publication Year: 1995, Page(s):3483 - 3486 vol.5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB)

    A convolution neural network (CNN) was used for classification of masses and normal tissue on mammograms. A generalized CNN was developed that uses multiple images derived from a single region of interest (ROI) as the input. The CNN input images were obtained from the ROIs using (i) averaging and subsampling; and (ii) texture feature extraction methods on smaller sub-regions inside the ROI. In (ii... View full abstract»

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  • An improvement to the explicit time delay estimator

    Publication Year: 1995, Page(s):3151 - 3154 vol.5
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB)

    The explicit time delay estimator (ETDE) provides an efficient way to estimate the time difference of arrival between signals received at two separated sensors. However, the algorithm is biased for finite filter length and the delay bias increases when the signal-to-noise ratio (SNR) or the number of filter taps decreases. In this paper, we add an adaptive gain control to the ETDE to decouple the ... View full abstract»

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  • Feature extraction networks for dull tool monitoring

    Publication Year: 1995, Page(s):3355 - 3358 vol.5
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (508 KB)

    Automatic feature extraction is a need in many current applications, including the monitoring of industrial tools. Currently available approaches suffer from a number of shortcomings. The Kohonen (1989) self-organizing neural network (SONN) has the potential to act as a feature extractor, but we find it benefits from several modifications. The purpose of these modifications is to cause feature var... View full abstract»

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  • Active sensory tuning of windnoise using a genetic algorithm

    Publication Year: 1995, Page(s):2967 - 2970 vol.5
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB)

    The subjective tuning of multidimensional systems is considered. Listener preference for certain attributes of sound over others involves multiple options, costs, and payoffs, and may require complex strategies to arrive at an optimal solution. When the complexity of such strategies becomes excessive, listeners adopt simpler strategies that may lead to poor, but achievable, solutions. Active senso... View full abstract»

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  • A user-friendly system for microphone array research

    Publication Year: 1995, Page(s):3015 - 3018 vol.5
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (392 KB)

    Describes the design and use of a digital acoustic array signal processing research environment. The system unites the interactive numerical processing capabilities of The MathWorks' MATLAB with multichannel data acquisition/signal processing hardware and an overhead Cartesian robot for accurate sound source placement. In conjunction with additional electronic and electromechanical peripherals, th... View full abstract»

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  • A high-order temporal neural network for word recognition

    Publication Year: 1995, Page(s):3343 - 3346 vol.5
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    An important yet challenging task for neural network based speech recognizers is the effective processing of temporal information in speech signals. A high-order fully recurrent neural network is developed to effectively handle the sequential nature of speech signals and to accommodate both temporal and spectral variations. The proposed neural network has 4 layers, namely, the input layer, self or... View full abstract»

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  • ADEN: an environment for digital receiver ASIC design

    Publication Year: 1995, Page(s):3243 - 3246 vol.5
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (380 KB)

    Different levels of abstraction are suited for algorithm design and hardware architecture development. This paper presents a tool (ADEN) that provides a link from system design to VLSI implementation. It generates synchronous timed descriptions of digital hardware from dynamic data-flow system level configurations. It allows one to make use of optimized architectures available for a broad range of... View full abstract»

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