By Topic

IET Signal Processing

Issue 1 • March 2007

Filter Results

Displaying Results 1 - 7 of 7
  • IET Signal Processing

    Publication Year: 2007, Page(s): 1
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (23 KB)

    The present Editorial presents an introduction to this new journal, including the reasoning behind the creation of the journal and the types of papers it hopes to attract View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Detection of the number of sources at low signal-to-noise ratio

    Publication Year: 2007, Page(s):2 - 8
    Cited by:  Papers (11)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (411 KB)

    A new method to detect the number of sources in array signal processing is proposed. Most source detection techniques perform reasonably well at medium or high signal-to-noise ratio (SNR), but not at low SNR. This method exploits eigenvectors, instead of sample eigenvalues, for source enumeration. It employs the blind beamforming technique and the peak-to-average power ratio based frequency estima... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Partial update and sparse adaptive filters

    Publication Year: 2007, Page(s):9 - 17
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (663 KB)

    There has been increasing research interest in developing adaptive filters with partial update (PU) and adaptive filters for sparse impulse responses. On the basis of maximum a posteriori (MAP) estimation, new adaptive filters are developed by determining the update when a new set of training data is received. The MAP estimation formulation permits the study of a number of different prior distribu... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • ECG beat classification using GreyART network

    Publication Year: 2007, Page(s):19 - 28
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (143 KB)

    The grey relational grade is a similarity measure. On the basis of the grey relational grade, an adaptive resonant theory (ART) type network, GreyART, has been developed. When the GreyART is used to classify a dataset with varying amount of data, the measurement between two specific data in the dataset may vary since the measurement is affected by new added data. In this case, the grey relational ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Blind source extraction based on a linear predictor

    Publication Year: 2007, Page(s):29 - 34
    Cited by:  Papers (7)  |  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (480 KB)

    A rigorous analysis of the blind source extraction (BSE) approach based on a linear predictor is provided. It is shown that by minimising the mean squared prediction error (MSPE), as originally proposed, it is only possible to reach a solution subject to an arbitrary orthogonal transformation. To remove this ambiguity, a new cost function based on the normalised MSPE is introduced which by design ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • High resolution estimation for sub-gaussian stable signals in a linear array model

    Publication Year: 2007, Page(s):35 - 42
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (203 KB)

    The authors describe a high resolution subspace fitting (HRE) algorithm for robust estimation of direction of arrival (DOA) in the uniform linear array model with heavy-tailed signals and noise. Electromagnetic disturbances on telephone lines, atmospheric noise and underwater acoustic noise often exhibit heavy-tailed behaviour with differing characteristics. Although statistical models under Gauss... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Modelling speech signals using formant frequencies as an intermediate representation

    Publication Year: 2007, Page(s):43 - 50
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (278 KB)

    Multiple-level segmental hidden Markov models (M-SHMMs) in which the relationship between symbolic and acoustic representations of speech is regulated by a formant-based intermediate representation are considered. New TIMIT phone recognition results are presented, confirming that the theoretical upper-bound on performance is achieved provided that either the intermediate representation or the form... View full abstract»

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

Aims & Scope

IET Signal Processing publishes novel contributions in signal processing.

Full Aims & Scope

Meet Our Editors

IET Research Journals
iet_spr@theiet.org