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 Wavelet Transforms in Time Series Analysis
Wavelet Transform Time −> Frequency −> • The wavelet transform contains information on both the time location and fre-quency of a signal. Some typical (but not required) properties of wavelets • Orthogonality - Both wavelet transform matrix and wavelet functions can be orthogonal. Useful for creating basis functions for computation....
A Combined Time Diversity Blind Equalization Algorithm ...
To overcome the defects of multi-path underwater acoustic channel and Constant Modulus Algorithm (CMA), time diversity blind equalization algorithm based on orthogonal wavelet transform (WT-CTDE) was proposed.
Wavelet - Wikipedia
Wavelet theory is applicable to several subjects. All wavelet transforms may be considered forms of time-frequency representation for continuous-time (analog) signals and so are related to harmonic analysis.Discrete wavelet transform (continuous in time) of a discrete-time (sampled) signal by using discrete-time filterbanks of dyadic (octave band) configuration is a wavelet approximation to ......
Unsupervised feature extraction for time series clustering ...
2.3 Haar Wavelet Transform We use the Haar wavelet in our experiments which has the fastest transform algorithm and is the most popularly used orthogonal wavelet proposed by Haar. Note that the properties mentioned in Section 2.2 are hold for all orthogonal wavelets such as the Daubechies wavelet family....
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