Wavelets are wavelike functions used to transform signals into a representation which has time and frequency domain components. Visually wavelets appear as wave-like oscillations with an amplitude that starts at zero, increases, then returns to zero. Another way to consider a wavelet is as a bandpass filter, which can be applied to a time series under investigation, letting through only components of the time series within a finite range of frequencies to different extents depending on the energy spectrum of the wavelet. Wavelets take the form:
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Meanwhile, even the most enthusiastic bitcoin evangelists are realizing that a retooling is in order. Michael J. Casey, a senior adviser for blockchain research at MIT’s Digital Currency Initiative, recently wrote about how the crypto-winter has arrived, but it may lead to better things down the line:
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