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IEEE Signal Processing Letters

Issue 8 • Date Aug. 1994

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Displaying Results 1 - 4 of 4
  • Low-power signaling in asymmetric noisy channels via spectral shaping

    Publication Year: 1994, Page(s):117 - 118
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (182 KB)

    Portable and mobile applications require low power consumption in addition to high throughput to prolong battery life in a VLSI implementation. The authors propose a novel configuration of a low-power portable communications (PCS) device that promises improved performance over very noisy band-limited channels through the use of a feedback channel and digital signal processing techniques that have ... View full abstract»

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  • Source correlation compensation for blind channel identification based on second-order statistics

    Publication Year: 1994, Page(s):119 - 120
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (194 KB)

    Presents a source correlation compensation approach for the blind channel identification method proposed by Tong et al. [1991, 1994]. Instead of assuming independent and identically distributed (i.i.d.) source symbols as assumed by Tong et al., the present authors consider the case where each source symbol is weakly correlated to its nearest neighbors with an unknown correlation coefficient. They ... View full abstract»

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  • Adaptive entropy-constrained residual vector quantization

    Publication Year: 1994, Page(s):121 - 123
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (271 KB)

    Entropy-constrained residual vector quantization (EC-RVQ) is a relatively new VQ method that was shown to be capable of excellent rate-distortion performance. The paper investigates the incorporation of adaptivity into the EC-RVQ framework for application to image coding. Experimental results show that the dynamic nature of the implementation leads to a noticeable improvement in coding quality as ... View full abstract»

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  • Stochastic matching for robust speech recognition

    Publication Year: 1994, Page(s):124 - 125
    Cited by:  Papers (5)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (235 KB)

    Presents an approach to decrease the acoustic mismatch between a test utterance Y and a given set of speech hidden Markov models /spl Lambda//sub X/ to reduce the recognition performance degradation caused by possible distortions in the test utterance. This is accomplished by a parametric function that transforms either U or /spl Lambda//sub X/ to better match each other. The functional form of th... View full abstract»

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Aims & Scope

The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing.

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Meet Our Editors

Editor-in-Chief
Peter Willett
University of Connecticut
Storrs, CT 06269
peter.willett@uconn.edu