Hi all,
I am interested in techniques for the compression of time signals.
Under steady-state conditions Fourier Transform (FT) is the most powerful tool to keep only the relevant information. However, its ability to track power quality events is almost null.
In the literature a good work on compression strategies for Power Quality events is "F. Lorio and F. Magnago, Analysis of Data Compression Methods for Power Quality Events". The problem is that it is quite old and it lacks of new techniques, like Compressive Sensing (CS).
Do you know about a comparison between CS and well-known techniques like EZW?
Regards
Alberto
some new works are as follows:
1) Power Quality data compression by G Găşpăresc -InTechOpen
2) Simultaneous denoising and compression of power system disturbances using sparse representation on overcomplete hybrid dictionaries, in IET Generation, Transmission & Distribution.
A relatively older work on PQ data compression, but worth having a look is:
Power quality disturbance data compression, detection, and classification using integrated spline wavelet and S-transform, in IEEE Transaction on Power Delivery
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