Title :
Deconvolution of sensor array signals using scale transform properties
Author :
M. Izzetoglu;T. Akgul
Author_Institution :
Signal Processing Lab., Drexel Univ., Philadelphia, PA, USA
Abstract :
In this paper, we present the extension of solutions to the multiscale deconvolution problem which appears in sensor array applications. The sensor outputs are assumed to be generated as a convolution of the unknown source signal, the so-called wavelet, with various time-scaled versions of an unknown impulse response of the medium, namely reflectivity sequences. Methods to deconvolve these signals are available if the scaling effects, referred to as time-scale factors, are truly known. Here we show that time-scale factors between the system impulse responses can be obtained from the sensor array measurements by using the scale transform properties which yield "absolutely blind" multiscale deconvolution scheme.
Keywords :
"Sensor arrays","Deconvolution","Reflectivity","Signal processing","Biosensors","Application software","Convolution","Sensor systems","Discrete transforms","Signal generators"
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
Print_ISBN :
0-7803-5073-1
DOI :
10.1109/TFSA.1998.721489