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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  • Algorithm-based low-power transform coding architectures

    Publication Year: 1995, Page(s):3267 - 3270 vol.5
    Cited by:  Papers (7)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (391 KB)

    In most low-power VLSI designs, the supply voltage is usually reduced to lower the total power consumption. However, the device speed will be degraded as the supply voltage goes down. In this paper, we propose new algorithmic-level techniques for compensating the increased delays based on the multirate approach. We will show how to compute most of the discrete sinusoidal transforms through the dec... 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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  • DSP design education at Georgia Tech

    Publication Year: 1995, Page(s):2869 - 2872 vol.5
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB)

    Digital signal processing (DSP) has made significant impact on the fields of telecommunications, medical technology, information storage and retrieval, military applications, remote sensing, and man-machine communications. The DSP Laboratory at Georgia Tech is heavily involved in research and education in this important area. This paper discusses the state-of-art DSP software and hardware design e... View full abstract»

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  • Advanced signal processing for misfire detection in automotive engines

    Publication Year: 1995, Page(s):2963 - 2966 vol.5
    Cited by:  Papers (2)  |  Patents (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (352 KB)

    The paper presents an application of artificial neural networks to the reliable detection of misfires in automotive engines. By government regulations, automobiles an required to be equipped with instrumentation to detect engine misfires and to alert the driver whenever the misfire rate has the potential to affect the health of emission control systems. A relevant model for the powertrain dynamics... View full abstract»

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  • Coherence effects of the interference on the performance of optimum/adaptive beamformer

    Publication Year: 1995, Page(s):3631 - 3634 vol.5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB)

    We present an analysis of the interference coherence effects on the performance of an antenna array processor, which maximizes the output signal-to-noise ratio (SNR) for a coherent wave. The analytical expression for the optimal weight vector, directional pattern and output SNR is derived as a function of the coherence coefficient, interference power and parameters of the adaptive processor. We sh... View full abstract»

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  • Associative approach to real time color, motion and stereo vision

    Publication Year: 1995, Page(s):3291 - 3294 vol.5
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (344 KB)

    Presents a new methodology, based on the associative signal processing (ASP) approach to real time parallel image processing. The architecture is fully programmable and can be programmed to implement a wide range of color image processing, computer vision and multi-media algorithms at much faster than video rate. The approach is based on an array of thousands of processors, each is nothing but an ... View full abstract»

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  • Cepstral prefiltering for time delay estimation in reverberant environments

    Publication Year: 1995, Page(s):3055 - 3058 vol.5
    Cited by:  Papers (14)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB)

    Time delay estimation (TDE) between the signals received by two or more spatially separated microphones can be used as a means for the passive localization of the dominant talker in applications such as audio-conference. However, in a recent study, it has been shown that reverberation can have disastrous effects on TDE performance. In this paper, we develop and evaluate a new cepstral prefiltering... View full abstract»

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  • Efficient approaches to testing VHDL DSP models

    Publication Year: 1995, Page(s):2865 - 2867 vol.5
    Cited by:  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (188 KB)

    Generation of test benches for large DSP behavioral models is a complicated, labor intensive task. Also, tests generated manually satisfy no formal definition of completeness. To address these needs, high level approaches to test bench development are employed which relieve the modeler of the details of this task. CASE tools are used to develop the test bench VHDL code, i.e., state machine behavio... 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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  • Multi-scale signal feature processing for automatic, objective vehicle noise and vibration quality analysis

    Publication Year: 1995, Page(s):2959 - 2962 vol.5
    Cited by:  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (360 KB)

    The paper describes a new signal processing technique for understanding the dynamics of time-varying signals in vehicles: hyperstate analysis. Vehicle noise and vibration are examples of randomly-varying transient or non-stationary signals that are not effectively analyzed with classical spectral analysis techniques. By the use of nested hidden Markov models, hyperstate analysis explicitly identif... View full abstract»

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  • Simulated annealing approach for the design of unequally spaced arrays

    Publication Year: 1995, Page(s):3627 - 3630 vol.5
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB)

    A synthesis method aimed at designing an array antenna is proposed. Simulated annealing (SA), which is a probabilistic methodology used to solve combinatorial optimization problems, has been utilized to optimize the position and the weighting coefficients of the array elements in order to improve the antenna performance. The sensor position and related weighting coefficients are considered as para... View full abstract»

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  • Multipath time-delay estimation for long data records

    Publication Year: 1995, Page(s):3143 - 3146 vol.5
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (272 KB)

    We address the problem of multipath time-delay estimation. When the received data is very long compared to the transmitted signal, the data is expected to consist of a large number of paths. Modeling the entire data becomes computationally expensive. We propose a technique to break the data into short segments and model each segment individually without misfitting or truncating any paths at the en... 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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  • A new adaptive intersubband tap-assignment algorithm for subband adaptive filters

    Publication Year: 1995, Page(s):3051 - 3054 vol.5
    Cited by:  Papers (3)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (332 KB)

    This paper proposes a new subband adaptive filtering algorithm with intersubband tap assignment. The number of taps for each subband adaptive filter is adaptively controlled based on a sum of squared coefficients to the impulse-response tail of the unknown system. The sum is weighted by the input reference signal power to reflect its power imbalance. For rapid convergence of intersubband tap assig... View full abstract»

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  • VLSI implementation of high throughput DSP using finite ring arithmetic

    Publication Year: 1995, Page(s):2861 - 2864 vol.5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (400 KB)

    Reviews strategies in implementing DSP systems using residue computations; in particular the authors highlight work underway in the VLSI Research Group, at the University of Windsor, in the area of high throughput DSP systems on silicon. The paper reviews a series of issues including mapping techniques, fault tolerant architectures, and area and power efficient VLSI implementation procedures. CAD ... View full abstract»

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  • Optimization of the observer motion using dynamic programming

    Publication Year: 1995, Page(s):3567 - 3570 vol.5
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    Classical bearings-only target motion analysis (TMA) are restricted to constant motion parameters (usually: position and velocity). However most of the interesting sources have maneuvering abilities, degrading, thus, dramatically the TMA performance. A basic idea consists of modelling the states of the source by a hidden Markov model (HMM). The main point is then to optimize the observer trajector... View full abstract»

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  • Discriminative training of self-structuring hidden control neural models

    Publication Year: 1995, Page(s):3379 - 3382 vol.5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB)

    This paper presents a new training algorithm for self-structuring hidden control neural (SHC) models. The SHC models were trained non-discriminatively for speech recognition applications. Better recognition performance can generally be achieved, if discriminative training is applied instead. Thus we developed a discriminative training algorithm for SHC models, where each SHC model for a specific s... View full abstract»

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  • A generalized maximum likelihood estimation algorithm for passive Doppler-bearing tracking

    Publication Year: 1995, Page(s):3175 - 3178 vol.5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (288 KB)

    Estimation of the trajectory of a target from a passive sonar's bearings and frequency measurements in the presence of multivariate normally distributed noise, with unknown inhomogeneous general covariance, is modelled as a nonlinear multiresponse parameter estimation problem. It is shown that maximum likelihood estimation in this case is identical to optimizing a determinant criterion which has a... View full abstract»

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  • A time warping neural network

    Publication Year: 1995, Page(s):3339 - 3341 vol.5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB)

    A method is proposed to improve any temporal pattern recognition system by time warping each pattern before presentation to the recognition system. The time warping function for a pattern is generated by repeated local application of a neural network to sections of the pattern. The output of this neural network is the slope of the warping function, and the internal weight parameters are trained by... 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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  • 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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  • 2-D DCT using on-line arithmetic

    Publication Year: 1995, Page(s):3275 - 3278 vol.5
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB)

    Presents a VLSI architecture for the evaluation of the (8×8)-point 2-D DCT with on-line arithmetic. The utilization of on-line arithmetic, in combination with an algorithm based on FCT and matrix multiplication, reduces the total hardware maintaining a data rate and a latency similar to approaches based on distributed or parallel arithmetic. The architecture has been integrated in a chip usi... View full abstract»

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  • Lane detection for automotive sensors

    Publication Year: 1995, Page(s):2955 - 2958 vol.5
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB)

    The paper addresses the problem of detecting lane boundaries in color images of road scenes acquired from a car mounted visual sensor. It is shown that the lane boundaries in such images have to obey a set of global constraint equations. All images with such constrained lanes are modeled via deformable templates. The observed image is related to the underlying lane boundary features through a like... View full abstract»

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  • Steered response control of the generalized sidelobe canceller

    Publication Year: 1995, Page(s):3623 - 3626 vol.5
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (340 KB)

    This paper presents a new set of derivative constraints for the generalized sidelobe canceller (GSC) that can be used to reduce sensitivity to steering error. These constraints are designed to flatten the spatial null of the GSC blocking matrix so that for a small steering error, the desired signal is still blocked and the GSC does not experience signal cancellation. With this approach, the steere... View full abstract»

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