• DocumentCode
    1168568
  • Title

    An architecture for lossy compression of waveforms using piecewise-linear approximation

  • Author

    Konstantinides, Konstantinos ; Natarajan, Balas K.

  • Author_Institution
    Hewlett-Packard Co., Palo Alto, CA, USA
  • Volume
    42
  • Issue
    9
  • fYear
    1994
  • fDate
    9/1/1994 12:00:00 AM
  • Firstpage
    2449
  • Lastpage
    2454
  • Abstract
    Lossy compression schemes are often desirable in many signal processing applications such as the compression of ECG data. This paper presents a relaxation of a provably good algorithm for lossy signal compression, based on the piecewise linear approximation of functions. The algorithm approximates the data within a given tolerance using a piecewise linear function. The paper also describes an architecture suitable for the single-chip implementation of the proposed algorithm. The design consists of control, two multiply/divide units, four adder/subtracter units, and an I/O interface unit. For uniformly sampled data, no division is required, and all operations can be completed in a pipelined manner in at most three cycles per sample point. The corresponding simplified architecture is also presented
  • Keywords
    data compression; digital signal processing chips; electrocardiography; medical signal processing; piecewise-linear techniques; pipeline processing; ECG data compression; I/O interface unit; adder/subtracter units; architecture; control units; lossy signal compression; multiply/divide units; piecewise linear function; piecewise-linear approximation; pipelined operations; signal processing applications; single-chip implementation; uniformly sampled data; Approximation algorithms; Data compression; Electrocardiography; Frequency; Piecewise linear approximation; Piecewise linear techniques; Redundancy; Signal processing; Signal processing algorithms; Voice mail;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.317866
  • Filename
    317866