Venkatesh, YV and Ramani, K and Nandini, R (1994) Hermite sieve as a wavelet-like array for 1D and 2D signal decomposition. In: IEE Proceedings of Vision, Image and Signal Processing, 141 (5). pp. 348-356.
A new class of an array of wavelet-like functions, derived from generalised Hermite polynomials and controlled by a scale parameter, has been used to create a multilayered representation for one- and two-dimensional signals. This representation, which is explicitly in terms of an array of coefficients, reminiscent of Fourier series, is stable. Among its other properties, (a) the shape of the resolution cell in the 'phase-space' is variable even at a specified scale, depending on the nature of the signal under consideration; and (b) zero crossings at the various scales can be extracted directly from the coefficients. The new representation is illustrated by examples. However, there do remain some basic problems with respect to the new representation.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to Institution of Electrical Engineers (IEE)|
|Keywords:||Wavelet transform;Multiresolution;Signal decomposition; Generalised Hermite polynomials;Scale space;Fourier series;Windowed Fourier transform;Zero crussings|
|Department/Centre:||Division of Electrical Sciences > Electrical Engineering|
|Date Deposited:||22 Sep 2005|
|Last Modified:||19 Sep 2010 04:20|
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