Inverse filtering
Brief description of the problem:

Our aim is to measure broad band time or other domain waveforms. If the bandwidth of the signal to be measured is larger than that of the measurement system the recorded waveform will be a distorted version of the original one. Assuming that the distortion is known the measurement can be partly compensated for it. This process is called inverse filtering.

The main problem of the inverse filtering process is that measurement noise (quantization noise, electromagnetic interference etc.) is amplified in a great extent, hiding many times the useful signal completely. This noise has to be suppressed on the price of bias in the reconstructed signal. A good compromise has to be found between the noisy and biased reconstruction. The inverse filtering process should be adaptive to the signal to be measured and to the noise.


Research grants: Publications

Contact person:

Tamás Dabóczi, PhD
Dept. of Measurement and Information Systems
Budapest University of Technology and Economics
H-1521 Budapest, Hungary

Phone:    +36 1 463-2065
Fax:        +36 1 463-4112