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Signal Processing Letters, IEEE

Issue 10 • Date Oct. 1996

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Displaying Results 1 - 4 of 4
  • Constrained ECG compression using best adapted wavelet packet bases

    Publication Year: 1996 , Page(s): 273 - 275
    Cited by:  Papers (10)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (269 KB)  

    The main goal of any electrocardiogram (ECG) compression algorithm is to reduce the bit rate while keeping the signal distortion at a clinically acceptable level. Percentage root mean square difference (PRD), the commonly used figure of merit, does not directly reveal whether the clinically significant ECG waveform information is preserved or not. We present the results of a study of ECG compression using an upper bound on the PRD. This bound is based on the initial performance of the algorithm and could be specified by the clinician after correlating the quality of the compressed versions of the ECG and the resulting PRD. View full abstract»

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  • High-order system identification with an adaptive recursive second-order polynomial filter

    Publication Year: 1996 , Page(s): 276 - 279
    Cited by:  Papers (10)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (329 KB)  

    In this letter, an adaptive recursive nonlinear filter based on the Volterra series and an infinite impulse response (IIR) structure is considered. For certain types of nonlinear systems where high-order nonlinearities are recursively generated, we show that the adaptive recursive second-order polynomial filter has improved performance over the well-known (nonrecursive) adaptive second-order Volterra filter and a third-order Volterra filter. This filter represents an alternative to using a traditional Volterra filter whose order has been increased to match that of the system being modeled. View full abstract»

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  • Joint channel and echo impulse response shortening on digital subscriber lines

    Publication Year: 1996 , Page(s): 280 - 282
    Cited by:  Papers (6)  |  Patents (11)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (235 KB)  

    A new scheme for joint shortening of two long impulse responses using a single finite impulse response (FIR) equalizer is presented. The optimum settings, in the mean square error (MSE) sense, of the equalizer and the two (unit-tap constrained) shortened impulse responses are derived. The main application of interest is joint shortening of the channel and echo impulse responses for high-speed transmission on digital subscriber lines. View full abstract»

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  • A super-exponential algorithm for blind fractionally spaced equalization

    Publication Year: 1996 , Page(s): 283 - 285
    Cited by:  Papers (9)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (308 KB)  

    In this letter, a blind fractionally spaced equalizer (FSE) is presented. This work extends the super-exponential algorithm of Shalvi and Weinstein (1993, 1994) by exploiting the cyclostationarity of fractionally sampled pulse amplitude modulated (PAM) signals. The resulting algorithm converges to the classic FSE solution, and therefore it synthesizes a discrete-time matched filter without prior knowledge of both channel and transmitted sequence. Experimental results show the improvement in residual error and timing sensitivity over the symbol-spaced super-exponential algorithm. 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