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IEEE Signal Processing Letters

Issue 4 • April 1994

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  • STFT computation using pruned FFT algorithms

    Publication Year: 1994, Page(s):61 - 63
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (281 KB)

    We show that the discrete short-time Fourier transform with temporal decimation (DSTFT-TD) can be evaluated using a variety of pruned FFT structures. A pruning method we refer to as overlap pruning can be used to eliminate computational overlap between consecutive FFT's for computing slices of the DSTFT-TD. When only a limited frequency range of the DSTFT-TD is of interest, further computational s... View full abstract»

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  • Functional optimization properties of median filtering

    Publication Year: 1994, Page(s):64 - 65
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (210 KB)

    In this letter, we use a new approach for studying the properties of median filtering. Specifically, using threshold decomposition, it is shown that median filtering operation minimizes a two-term cost function of the output state of the median filter. The first term of the cost function measures the smoothness between the median filter output and its neighbor points within the operation window, a... View full abstract»

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  • Integrated optimization of dynamic feature parameters for hidden Markov modeling of speech

    Publication Year: 1994, Page(s):66 - 69
    Cited by:  Papers (8)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (335 KB)

    Construction of dynamic (delta) features of speech, which has been in the past confined to only the preprocessing domain in the hidden Markov modeling (HMM) framework, is generalized and formulated as an integrated speech modeling problem. This generalization allows us to utilize state-dependent weights to transform static speech features into dynamic ones. In this letter, we describe a rigorous t... View full abstract»

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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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Editor-in-Chief
Peter Willett
University of Connecticut
Storrs, CT 06269
peter.willett@uconn.edu