Sinusoidal modeling using psychoacoustic-adaptive matching pursuits
نویسندگان
چکیده
منابع مشابه
Sinusoidal modeling of audio and speech using psychoacoustic-adaptive matching pursuits
In this paper, we propose a segment-based matching pursuit algorithm where the psychoacoustical properties of the human auditory system are taken into account. Rather than scaling the dictionary elements according to auditory perception, we define a psychoacoustic-adaptive norm on the signal space which can be used for assigning the dictionary elements to the individual segments in a rate-disto...
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We propose a method for sinusoidal modeling that takes into account the psychoacoustics of human hearing using a frame-based perceptually weighted matching pursuit. Working on blocks of the input signal, a set of sinusoidal components for each block is iteratively extracted taking into consideration perceptual significance by using extensions to the well known matching pursuits algorithm. These...
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Computing the optimal expansion of a signal in a redundant dictionary of waveforms is an NP-complete problem. We introduce a greedy algorithm called a matching pursuit which computes a sub-optimal expansion. The dictionary waveforms which best match a signal's structures are chosen iteratively. An orthogonalized version of the matching pursuit is also developed. Matching pursuits are general pr...
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The sinusoidal model has proven useful for representation and modi cation of speech and audio. One drawback, however, is that a sinusoidal signal model is typically derived using a xed frame size, which corresponds to a rigid signal segmentation. For nonstationary signals, the resolution limitations that result from this rigidity lead to reconstruction artifacts. It is shown in this paper that ...
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ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 2002
ISSN: 1070-9908,1558-2361
DOI: 10.1109/lsp.2002.802999