By Topic

IEEE Signal Processing Letters

Issue 11 • Date Nov. 1996

Filter Results

Displaying Results 1 - 5 of 5
  • A DCT-based embedded image coder

    Publication Year: 1996, Page(s):289 - 290
    Cited by:  Papers (130)  |  Patents (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (235 KB)

    Since Shapiro (see ibid., vol.41, no.12, p. 445, 1993) published his work on embedded zerotree wavelet (EZW) image coding, there have been increased research activities in image coding centered around wavelets. We first point out that the wavelet transform is just one member in a family of linear transformations, and the discrete cosine transform (DCT) can also be coupled with an embedded zerotree... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Formulas for McClellan transform parameters in designing 2-D zero-phase FIR fan filters

    Publication Year: 1996, Page(s):291 - 293
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (227 KB)

    New formulas for McClellan (1973) transform parameters for the design of 2-D zero-phase FIR fan filters are optimally derived under the integral squared error (ISE) criterion. By imposing the constraint that F(0,0)=cos w/sub c/, where F(/spl middot/) is the McClellan transform and w/sub c/ is the cutoff frequency of the one-dimensional (1-D) prototype filter, the ISE is directly minimized without ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Energy demodulation of two-component AM-FM signal mixtures

    Publication Year: 1996, Page(s):294 - 298
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (471 KB)

    An algorithm for the separation and energy-based demodulation of two-component mixtures of AM-FM signals is presented. The proposed algorithm is based on the generating differential or difference equation of the mixture signal and nonlinear differential energy operators. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Study of the Cramer-Rao bound as the numbers of observations and unknown parameters increase

    Publication Year: 1996, Page(s):299 - 300
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (223 KB)

    For a data model consisting of deterministic signals in additive Gaussian noise, we prove that the Cramer-Rao bound (CRB) corresponding to the signal parameters decreases as the number of data samples increases provided that the number of new observations is larger than the number of additional unknowns required to parameterize these observations. We also show that the CRB theory is not applicable... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • On-line learning for active pattern recognition

    Publication Year: 1996, Page(s):301 - 303
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (302 KB)

    An adaptive on-line learning method is presented to facilitate pattern classification using active sampling to identify the optimal decision boundary for a stochastic oracle with a minimum number of training samples. The strategy of sampling at the current estimate of the decision boundary is shown to be optimal compared to random sampling in the sense that the probability of convergence toward th... 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
Peter Willett
University of Connecticut
Storrs, CT 06269
peter.willett@uconn.edu