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International Conference on Acoustics, Speech, and Signal Processing

3-6 April 1990

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  • ICASSP 90. 1990 International Conference on Acoustics, Speech and Signal Processing (Cat. No.90CH2847-2)

    Publication Year: 1990
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    Freely Available from IEEE
  • A novel multi-stage estimation of signal parameters

    Publication Year: 1990, Page(s):2491 - 2494 vol.5
    Cited by:  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB)

    A novel multistage estimation scheme is presented for estimating the parameters of a received carrier signal possibly phase-modulated by unknown data, and experiencing very high Doppler, Doppler rate, etc. Such a situation arises, for example, in the case of the Global Positioning System (GPS), where the signal parameters are directly related to the position, velocity, acceleration, and jerk of th... View full abstract»

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  • Chinese character recognition with neural nets classifier

    Publication Year: 1990, Page(s):2125 - 2128 vol.4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB)

    An optical Chinese character recognition system using a neural nets classifier is presented. To extract stable information and reduce the effect of varying stroke widths, a feature extraction scheme which retrieves character boundaries and then quantizes the pixels to four possible orientations is suggested. To improve the learning speed and to reduce the architectural complexity, a perceptron wit... View full abstract»

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  • On mask selection for time-varying filtering using the Wigner distribution

    Publication Year: 1990, Page(s):2487 - 2490 vol.5
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (288 KB)

    The application of a multiplicative modification function, or mask, to the Wigner distribution (WD) of a signal has been proposed as an implementation of time-varying filtering in the time-frequency plane. Because the least squares synthesis technique involves an eigenvalue/eigenvector decomposition, the effects of mask size, shape, and placement on the reconstructed system output are not well und... View full abstract»

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  • A fast exact least mean square adaptive algorithm

    Publication Year: 1990, Page(s):1457 - 1460 vol.3
    Cited by:  Papers (3)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (332 KB)

    A general block-formulation is presented for the LMS (least-mean-square) algorithm for adaptive filtering. This formulation has an exact equivalence with the initial LMS, hence retaining the same convergence properties while allowing a reduction in the arithmetic complexity, even for very small block lengths. Furthermore, tradeoffs between number of operations and convergence rate are obtainable b... View full abstract»

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  • Spectral resolution and noise robustness in auditory modeling

    Publication Year: 1990, Page(s):817 - 820 vol.2
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (344 KB)

    An analysis is presented of an auditory model of the inner ear to achieve robust spectral estimation. To obtain a better estimate of spectral magnitude, a new method of determining aggregate synchrony is developed. Using mathematical analysis, the first-stage bandpass filtering in the model is shown to directly determine spectral resolution and noise robustness. Statistical evaluation results are ... View full abstract»

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  • Towards feature-based speech metric

    Publication Year: 1990, Page(s):781 - 784 vol.2
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (260 KB)

    A speech metric which directly uses spectral features such as spectral peak frequencies and bandwidths is proposed and evaluated. The spectral features either are derived directly by solving the all-pole model polynomial to get spectral peak frequencies and bandwidths and fitting the linear regression line to the logarithmic spectrum of the model or are estimated as a linear combination of the sev... View full abstract»

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  • A neural network algorithm for enhancing delta modulation/LPC tandem connections

    Publication Year: 1990, Page(s):221 - 224 vol.1
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB)

    The enhancement of coded speech which has been degraded by a tandem connection between wideband and narrowband data links, specifically a delta-modulation (CVSD 16000 b/s) to linear predictive coding (LPC) (2400 b/s) link, is discussed. Speech enhancement is achieved by developing mappings from vector quantization (VQ) codebooks trained on distorted data to VQ codebooks trained on undistorted data... View full abstract»

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  • Nonlinear predictive image coding with a neural network

    Publication Year: 1990, Page(s):1009 - 1012 vol.2
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    A multilayer neural network used for nonlinear predictive image coding is described. Two coding schemes, nonadaptive and adaptive, are shown. Owing to matching of the local properties of the image, nonlinear predictive coding gives a better performance than linear predictive coding. A series of computer experiments shows the method has not only the ability to generalize but also noise reduction ca... View full abstract»

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  • A minimum mean square error approach for speech enhancement

    Publication Year: 1990, Page(s):829 - 832 vol.2
    Cited by:  Papers (35)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB)

    A minimum mean square error (MMSE) estimation approach for enhancing speech signals degraded by statistically independent additive noise is developed, based upon Gaussian autoregressive (AR) hidden Markov modeling of the clean signal and Gaussian AR modeling of the noise process. The parameters of the models for the two processes are estimated from training sequences of clean speech and noise samp... View full abstract»

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  • An assembly source level global compacter for digital signal processors

    Publication Year: 1990, Page(s):1061 - 1064 vol.2
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB)

    A global compacter is presented for digital signal processors. The global compaction algorithm outlined demonstrates that optimal or near-optimal code can be produced for digital signal processing (DSP) chips by employing conventional compiler optimization techniques in conjunction with a global compacter and a loop pipeliner. Code can be efficiently compacted across basic block boundaries as well... View full abstract»

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  • A variable-step LMS based on tap weight time variation

    Publication Year: 1990, Page(s):1453 - 1456 vol.3
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (228 KB)

    A promising method is introduced for adjusting the LMS (least-mean-square) step size μ, based on the time variation of the tap weights. This method belongs to the class of diagonal step-matrix algorithms: a separate μ is used for each tap weight. Computer simulations are presented for a self-tuning filter configuration operating on a sine wave of abruptly changing frequency in Gaussian white... View full abstract»

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  • Motion compensated enhancement of noisy image sequences

    Publication Year: 1990, Page(s):2121 - 2124 vol.4
    Cited by:  Papers (20)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (408 KB)

    A motion compensated image sequence enhancement algorithm is presented. A combined segmentation and motion estimation algorithm is employed. A temporal or a spatiotemporal low-pass filter is then applied. Mean and median filters are presented as low-pass filters. The temporal filtering is performed over the motion path of each pixel, which is provided by the motion-estimation algorithm. The spatia... View full abstract»

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  • On-line recognition of handwritten Chinese characters and alphabets

    Publication Year: 1990, Page(s):2029 - 2032 vol.4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB)

    An online handwritten-character recognition system is proposed based on stroke-sequence feature extraction and on a string-matching method called the dynamic neighboring matching method. The patterns to be recognized, including Chinese characters and alphabets, are allowed to be stroke-order- and stroke-number-free and tolerant of combined strokes and wrong strokes. Fewer learning samples are need... View full abstract»

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  • Suppression of CW interference and filtered noise in QPRS systems using decision-feedback filters

    Publication Year: 1990, Page(s):1703 - 1706 vol.3
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (268 KB)

    An analysis is made of the performance of three types of quadrature partial response signaling (QPRS) systems using complex one-sided and two-sided transversal filters with additional decision-feedback (DF) taps in the presence of single continuous wave (CW) interference and additive white Gaussian noise. It is found that both DF filtered noise which is necessarily colored by passing through the Q... View full abstract»

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  • On Bernoulli-Gaussian process modeling of speech excitation source

    Publication Year: 1990, Page(s):217 - 220 vol.1
    Cited by:  Papers (4)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (220 KB)

    In the multipulse linear predictive coding (LPC) speech synthesis, an autoregressive filter is excited by a multipulse excitation consisting of impulses of various amplitudes and locations. The authors statistically model the excitation signal as a zero mean Bernoulli-Gaussian process. The pulse locations are independently distributed with a probability distribution, and the pulse amplitudes are e... View full abstract»

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  • Pulsed noise in self-sustained oscillations of musical instruments

    Publication Year: 1990, Page(s):1157 - 1160 vol.2
    Cited by:  Papers (4)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB)

    A theory of bow and breath noise generation has been tested by analyzing recorded cello tones and by simulation using physical models of the cello and clarinet. For the synthesis to be successful, the listener's perceptions of noise and sound must fuse. Evidence is presented that the noise must be pulse modulated in a period synchronous way, as is shown for voiced fricatives. A method is described... View full abstract»

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  • RAP: a ring array processor for multilayer perceptron applications

    Publication Year: 1990, Page(s):1005 - 1008 vol.2
    Cited by:  Papers (2)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB)

    A ring array processor (RAP) designed for fast simulation of artificial neural network algorithms is described. The RAP is a multiprocessor system which is particularly targeted in the training of feedforward networks for the recognition of continuous speech. The overall system consists of several four-processor boards serving together as an array processor for a 68020-based host running a real-ti... View full abstract»

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  • Fractal excitation signals for CELP speech coders

    Publication Year: 1990, Page(s):669 - 672 vol.2
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB)

    A class of random signals is presented as a new excitation codebook for stochastic predictive speech coders. These signals, known as fractional noises, depend on a single parameter, 0<H<1, that controls the low- or high-pass trend of their power spectrum. Preliminary experiments have shown their performance improves when H is limited to a subinterval of (0,1) and becomes be... View full abstract»

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  • Image modeling using higher-order statistics with application to predictive image coding

    Publication Year: 1990, Page(s):1893 - 1896 vol.4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB)

    The mathematical framework to develop parametric image models based on higher-order statistics (HOS) is discussed. For non-Gaussian images, the model parameters will depend on the HOS if the model has a nonlinear form or if a fidelity criterion other than the mean square error (MSE) is utilized. Three new image models are proposed: (i) a nonlinear model based on the MSE criterion, (ii) a linear mo... View full abstract»

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  • Automatic design of parallel implementations of DSP algorithms

    Publication Year: 1990, Page(s):1053 - 1056 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB)

    An integrated system is presented combining a rule-based symbolic code simplification system and a fine-grain code scheduler for a multiprocessor based on a ring/mesh of commercial single-chip digital signal processing (DSP) processors. The code simplification component uses a priori information to direct the application of symbolic simplification rules to local or global code segments of the orig... View full abstract»

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  • An algorithm for thinning noisy images

    Publication Year: 1990, Page(s):2217 - 2220 vol.4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (280 KB)

    A two-step algorithm is presented for thinning noisy images. The first step consists of removing noisy spurs from an image using a combination of morphological operations. In the second step, thinning is performed by using the standard morphological skeleton transform (MST). This approach is useful in mode-based vision applications where the features of the image are required for object recognitio... View full abstract»

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  • Transform coding of images using trellis coded quantization

    Publication Year: 1990, Page(s):2241 - 2244 vol.4
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB)

    Trellis-coded quantization (TCQ) is incorporated into a transform coding structure for encoding monochrome images. Both fixed-rate and entropy-constrained designs are considered. The fixed-rate TCQ-based systems provide gains in peak signal-to-noise ratio of up to 4.13 dB over scalar quantizer-based schemes, while the entropy-constrained TCQ-based systems provide gains of up to 6.39 dB. The subjec... View full abstract»

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  • Texture analysis based on a human visual model

    Publication Year: 1990, Page(s):2137 - 2140 vol.4
    Cited by:  Papers (13)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (352 KB)

    A texture analysis approach superior to previous ones in such aspects as classification/segmentation performance and applicability is presented. It is based on a widely adopted human visual model which hypothesizes that the human visual system (HVS) processes input pictorial signals through a set of parallel and quasi-independent mechanisms or channels. This model is referred to as the multichanne... View full abstract»

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  • The Frazier-Jawerth transform

    Publication Year: 1990, Page(s):2483 - 2486 vol.5
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (276 KB)

    The Frazier-Jawerth transform (FJT), a simple yet rigorous method for the time-frequency analysis of nonstationary signals, is discussed. The FJT is related to the wavelet transform. Both the FJT and the wavelet methods improve upon the classical methods of time-frequency analysis due to Wigner and Gabor. A tutorial introduction to the FJT is given, and a brief discussion is presented of an exampl... View full abstract»

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