By Topic

IEEE Signal Processing Letters

Issue 2 • Feb. 1999

Filter Results

Displaying Results 1 - 5 of 5
  • Image vector quantization with minimax L/sub /spl infin// distortion

    Publication Year: 1999, Page(s):25 - 27
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (118 KB)

    A new framework of vector quantization that minimizes maximal L/sub /spl infin// distortion is introduced. Based on the concept of minimax L/sub /spl infin// distortion, a new centroid rule and a new codebook design method are developed. The problem of minimizing the number of occurrences of quantization errors larger than a preselected threshold is also investigated. Compared to the methods that ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Stochastic lexicon modeling for speech recognition

    Publication Year: 1999, Page(s):28 - 30
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (97 KB)

    To optimally cope with continuous speech recognizer, we propose the stochastic lexicon model that effectively represents variations in pronunciation. In this lexicon model, the baseform of a word is represented by subword-states with a probability distribution of subword units as a two-level hidden Markov model (HMM) and this baseform is automatically trained by sample utterances. Also, the propos... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A modified CS-ACELP algorithm for variable-rate speech coding robust in noisy environments

    Publication Year: 1999, Page(s):31 - 34
    Cited by:  Papers (9)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (54 KB)

    This letter deals with a variable bit-rate CS-ACELP speech coder based on new algorithms that are robust in the presence of the background noise typical of wireless communications. The coder presents eight operating modes ranging from 0-8 kbit/s with an average bit-rate of about 4 kbit/s. Subjective and objective comparisons with the recent ITU-T G.729 8 kbit/s standard, used in the discontinuous ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Unbiased equation-error adaptive IIR filtering based on monic normalization

    Publication Year: 1999, Page(s):35 - 37
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (115 KB)

    We present a novel may to remove the bias in equation-error based adaptive infinite impulse response (IIR) filtering by conceiving a scheme called monic normalization. It is found that normalizing all the coefficients of the denominator filter by the first coefficient after each adaptation removes the bias and leads to unbiased estimates. The analysis of stationary points is presented to show that... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A novel approach for multidimensional interpolation

    Publication Year: 1999, Page(s):38 - 40
    Cited by:  Papers (1)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (150 KB)

    We have developed an approach for effectively reducing the interpolation dimensions and thus the computational burden in a multidimensional interpolation (MDI) problem. More important, our approach can be used for interpolation task where other interpolation techniques may not be applicable. We illustrate this approach by using MDI problems that arise in medical imaging. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.

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.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
James E. Fowler
Dept Electrical & Computer Engineering
Associate Director                         
Distributed Analytics and Security Institute
Mississippi State University
Mississippi State, MS 39762 USA
fowler@ece.msstate.edu