THE WAVELET TUTORIAL PART IV by ROBI POLIKAR
ثبت نشده
چکیده
Although the discretized continuous wavelet transform enables the computation of the continuous wavelet transform by computers, it is not a true discrete transform. As a matter of fact, the wavelet series is simply a sampled version of the CWT, and the information it provides is highly redundant as far as the reconstruction of the signal is concerned. This redundancy, on the other hand, requires a significant amount of computation time and resources. The discrete wavelet transform (DWT), on the other hand, provides sufficient information both for analysis and synthesis of the original signal, with a significant reduction in the computation time.
منابع مشابه
The Wavelet Tutorial
Welcome to this introductory tutorial on wavelet transforms. The wavelet transform is a relatively new concept (about 10 years old), but yet there are quite a few articles and books written on them. However, most of these books and articles are written by math people, for the other math people; still most of the math people don't know what the other math people are talking about (a math profess...
متن کاملAdaptive noise cancellation schemes for magnetic flux leakage signals obtained from gas pipeline inspection
Nondestructive evaluation of the gas pipeline system is most commonly performed using magnetic flux leakage (MF L) techniques. A major segment of this network employs seamless pipes. The data obtained from MFL inspection of seamless pipes is contaminated by various sources of noise; including seamless pipe noise due to material properties of the pipe, lift -off varia tion of MFL sensor due to m...
متن کاملComparative multiresolution wavelet analysis of ERP spectral bands using an ensemble of classifiers approach for early diagnosis of Alzheimer's disease
Early diagnosis of Alzheimer's disease (AD) is becoming an increasingly important healthcare concern. Prior approaches analyzing event-related potentials (ERPs) had varying degrees of success, primarily due to smaller study cohorts, and the inherent difficulty of the problem. A new effort using multiresolution analysis of ERPs is described. Distinctions of this study include analyzing a larger ...
متن کاملCan AdaBoost.M1 Learn Incrementally? A Comparison to Learn++ Under Different Combination Rules
We had previously introduced Learn, inspired in part by the ensemble based AdaBoost algorithm, for incrementally learning from new data, including new concept classes, without forgetting what had been previously learned. In this effort, we compare the incremental learning performance of Learn and AdaBoost under several combination schemes, including their native, weighted majority voting. We sh...
متن کاملA combined pattern separability and two-tiered classification approach for identification of binary mixtures of VOCs
Several classification techniques have been developed with varying degrees of success for automated identification of VOCs, however, the problem becomes considerably more challenging when more than one VOC is present. The reason is two-fold: first, the response of the sensors to certain VOCs may be too strong and mask the response of the sensors to other VOCs in the environment; and second the ...
متن کامل