I am working on transmitting EEG signals over wireless body area network. I have applied two different compression techniques: DCT-based and compressive sensing (CS-based) approach. I noticed that the reconstructed signal is better using the DCT-based approach. Is this reasonable? I know that compression using DCT is lossy. The metrics used for evaluating the quality of the reconstructed signal is the normalized mean square error (NMSE) and the structural similarity index metric (SSIM).
Thanks in advance
Hi,
First of all, you have not mentioned, which sparsifying dictionary you have used in CS approach.
If you used DCT bases in CS-based approach, you would end up having the same reconstruction in both cases. However, it is completely acceptable to obtain a poor reconstruction with the CS than the DCT compression.
Hello Satheesh ,
Thanks for your replay.
Why it is acceptable to obtain better reconstruction with DCT, although it is a lossy compression technique?
Why compressed sensing is used with wireless body area networks, although it gives poor reconstruction?
I think that reconstructing biomedical signals with excellent quality is important, since this will affect the diagnosis process
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