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Nyquist barrier - not for all! Jaan Pelt Tartu Observatory Monday, 7. October 2013 Information and computer science forum
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Peep Kalv looking through astrophotographic plate (1964-65).
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http://www.aai.ee/~pelt/ Ilkka Tuominen
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Gravitational lenses Rudy Schild and Sjur Refsdal in wild Estonia
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Four views Time (AR, ARMA, etc) Frequency (Power spectrum) Time-Frequency (Wavelets, Wigner TF etc) Phase dispersion
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Phase-process diagram (folding)
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Live demo
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Weights G are larger than zero when phases of two points in pair are similar, or: G=0 G=1
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How to compute?
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Multiperiodic processes
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An example ???
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Why?
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Carrier fit Carrier frequency Splines Function with sparse spectra.
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Harry Nyquist
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Comb function and its Fourier transform
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Fourier transform
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Sampling
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Spectrum replication
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Reconstruction
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Aliasing
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Simple harmonic, regular sampling
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Simple harmonic, irregular sampling
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Frequency to the right from Nyquist limit
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Here it is !
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From “Numerical Recipes”
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They tell us…
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Many possibilities Some intervals are shorter (as Press et al). Mean sampling step is to be computed. Statistical argument, from N data points you can not get more than N/2 spectrum points. Every time point set is a subset of some regular grid.
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Phases Arbitrary trial period (frequency)Correct period (frequency) Observed magnitudes Phases s – frequency, P=1/s - period
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Old story
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Typical “string length spectrum”
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Horse racing argument For “string length” method maximal return time is N! – number of permutations (N is number of data points). For other methods return time scales as N N. This comes from Poincare return theory.
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Noiseless case, simple power spectrum.
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10% noise
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25% noise
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Comments
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More comments
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Left from Nyquist limit Bandlimited process
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Michael Berry http://www.phy.bris.ac.uk/people/berry_mv/index.html http://michaelberryphysics.wordpress.com/
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Ohhh…, no….
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But still? Derivatives of bandlimited functions are also bandlimited! Look at red dots! Zeros are maxima and minima after differentiation.
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First hints
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Aharonov again
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Berry is more explicit
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Abstract
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Kempf is the best seller!
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Another example
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Spectrum of it, no hint of SO-s
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Research programme? 1. Super-resolution using super-oscillations. Already done – using nanohole patterns
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Antenna beamforming
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But sparse and random array?
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Transplanckian frequencies
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Superoscillating particles
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And finally… Where are the super-oscillations here?
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Gateway to superoscillations: PROFESSOR SIR MICHAEL VICTOR BERRY, FRS http://michaelberryphysics.wordpress.com/
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