njit-etd2003-081 - New Jersey Institute of Technology

njit-etd2003-081 - New Jersey Institute of Technology njit-etd2003-081 - New Jersey Institute of Technology

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75 Now one can define the basis functions of a Discrete Wavelet Transform as the subset of continuous wavelet function [45 - 48] with the corresponding discrete transform lattices or grids Hence, the discrete wavelet transform basis functions can be expressed as Here m and n are integers. It is intuitively seen that this discrete wavelet family approaches a continuous wavelet family when a 0 —31 b0 ----> 0 It can be shown that the functions of a discrete wavelet transform basis ψmn(t) can form a frame or the sets of m and n parameters are proper for the completeness if the wavelet function (At) satisfies the admissibility condition. Then the frame bounds are constrained by the inequalities [45] 0

76 and the wavelet transform representation of the signal There is a particular interest on a binary or dyadic grid where a0 = 2 and b0 = 1, which leads to the conventional multiresolution concept and the orthogonal discrete wavelet transforms.

75<br />

Now one can define the basis functions <strong>of</strong> a Discrete Wavelet Transform as the<br />

subset <strong>of</strong> continuous wavelet function [45 - 48]<br />

with the corresponding discrete transform lattices or grids<br />

Hence, the discrete wavelet transform basis functions can be expressed as<br />

Here m and n are integers. It is intuitively seen that this discrete wavelet family<br />

approaches a continuous wavelet family when a 0 —31 b0 ----> 0<br />

It can be shown that the functions <strong>of</strong> a discrete wavelet transform basis<br />

ψmn(t) can form a frame or the sets <strong>of</strong> m and n parameters are proper for the<br />

completeness if the wavelet function (At) satisfies the admissibility condition. Then the<br />

frame bounds are constrained by the inequalities [45] 0

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