Coorbit Theory, Multi-α-Modulation Frames, and the Concept of Joint Sparsity for Medical Multichannel Data Analysis
نویسندگان
چکیده
This paper is concerned with the analysis and decomposition of medical multi-channel data. We present a signal processing technique that reliably detects and separates signal components such as mMCG, fMCG or MMG by involving the spatio-temporal morphology of the data provided by the multi-sensor geometry of the so-called multi-channel superconducting quantum interference device (SQUID) system. The mathematical building blocks are Coorbit theory, multi-α-modulation frames and the concept of joint sparsity measures. Combining the ingredients, we end up with an iterative procedure (with component dependent projection operations) that delivers the individual signal components. MSC: 57S25, 42C15, 42C40, 46E15
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ورودعنوان ژورنال:
- EURASIP J. Adv. Sig. Proc.
دوره 2008 شماره
صفحات -
تاریخ انتشار 2008