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ASSP Magazine, IEEE

Issue 2  Part 1 • Date April 1984

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Displaying Results 1 - 9 of 9
  • [Front cover and table of contents]

    Publication Year: 1984 , Page(s): 0
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    Freely Available from IEEE
  • President's message

    Publication Year: 1984 , Page(s): 2 - 3
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  • Vector quantization

    Publication Year: 1984 , Page(s): 4 - 29
    Cited by:  Papers (927)  |  Patents (84)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4155 KB)  

    A vector quantizer is a system for mapping a sequence of continuous or discrete vectors into a digital sequence suitable for communication over or storage in a digital channel. The goal of such a system is data compression: to reduce the bit rate so as to minimize communication channel capacity or digital storage memory requirements while maintaining the necessary fidelity of the data. The mapping for each vector may or may not have memory in the sense of depending on past actions of the coder, just as in well established scalar techniques such as PCM, which has no memory, and predictive quantization, which does. Even though information theory implies that one can always obtain better performance by coding vectors instead of scalars, scalar quantizers have remained by far the most common data compression system because of their simplicity and good performance when the communication rate is sufficiently large. In addition, relatively few design techniques have existed for vector quantizers. During the past few years several design algorithms have been developed for a variety of vector quantizers and the performance of these codes has been studied for speech waveforms, speech linear predictive parameter vectors, images, and several simulated random processes. It is the purpose of this article to survey some of these design techniques and their applications. View full abstract»

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  • Echo cancellation algorithms

    Publication Year: 1984 , Page(s): 30 - 38
    Cited by:  Papers (24)  |  Patents (10)
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  • Book reviews - Medical imaging systems

    Publication Year: 1984 , Page(s): 39
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  • Book reviews - FAST TRANSFORMS, algorithms, analyses, applications

    Publication Year: 1984 , Page(s): 39
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  • Dates ahead

    Publication Year: 1984 , Page(s): 40
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  • Meeting summary

    Publication Year: 1984 , Page(s): 46
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  • [Back cover]

    Publication Year: 1984 , Page(s): c4
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Aims & Scope

This Magazine ceased production in 1990. The current retitled publication is IEEE Signal Processing Magazine.

Full Aims & Scope