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Estimating a Signal from a Magnitude Spectrogram via Convex Optimization
Estimating a Signal Magnitude Spectrogram Convex Optimization
2012/11/22
The problem of recovering a signal from the magnitude of its short-time Fourier transform (STFT) is a longstanding one in audio signal processing. Existing approaches rely on heuristics that often per...
Magnitude is a real-valued invariant of metric spaces, analogous to the Euler characteristic
of topological spaces and the cardinality of sets. The de nition of magnitude is a special case of a gener...
How does the quality of a prediction depend on the magnitude of the events under study?
quality of a prediction magnitude of the events
2009/10/30
We investigate the predictability of extreme events in time series. The focus of this work is to understand, under which circumstances large events are better predictable than smaller events. Therefor...
A Note on the Magnitude of Walsh Fourier Coefficients
Functions of $p-$bounded variation $phi-$bounded variation $p-Lambda-$bounded variation and of $phi-Lambda-$bounded variation Walsh Fourier coefficients Integral modulus continuity of order $p$
2010/1/25
In this note, the order of magnitude of Walsh Fourier coefficients for functions of the classes , , and is studied. For the classes and Taibleson-like technique for Walsh Fourier coefficien...