Titlebook: Wavelet Theory and Its Applications; Randy K. Young Book 1993 Springer Science+Business Media New York 1993 Invariant.Signal.analog.filter

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r physicists are nowadays doing ex- periments in steady magnetic fields of up to 30 Tesla. But the field homogenity {/B}, required in a volume of the order of a 3 few cm is usually several orders of magnitude less severe than the one which is needed for high resolution NMR. Over the last 30 years, w

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Introduction/Background,Operation (see Figure 1.3). These two conditions must be simultaneously satisfied for the funtion to be a little wave or wavelet. Forming the product of the oscillatory and decay functions yields the waveley of Figure 1.1.

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Wideband Scattering and Environmental Imaging,nmental effects) may be desired. Assumptions regarding the environments can be enforced by parametric models (i.e., assume that only one narrowband source is in the environment and it is in the farfield of all sensors - then the characterization of the environment can be performed by closed form models and estimators).

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Wideband Scattering and Environmental Imaging,nmental effects) may be desired. Assumptions regarding the environments can be enforced by parametric models (i.e., assume that only one narrowband source is in the environment and it is in the farfield of all sensors - then the characterization of the environment can be performed by closed form models and estimators).

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Wavelet Theory Extensions and Ambiguity Functions,perator is derived that improves the efficiency and interpretation of the unconstrained wavelet transforms and, in general, extends wavelet theory. Improvements and extensions are achieved for wideband correlation receivers and the wideband ambiguity functions.

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The Wavelet Transform,. Then the “discrete” wavelet transform is presented. The resolution properties of wavelet transforms are touched upon but then deferred until after ambiguity functions are discussed. For the less mathematically inclined reader the proofs can be avoided without losing continuity.

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The Wavelet Transform,. Then the “discrete” wavelet transform is presented. The resolution properties of wavelet transforms are touched upon but then deferred until after ambiguity functions are discussed. For the less mathematically inclined reader the proofs can be avoided without losing continuity.