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Over last few decades, the time-reversal techniques have increasingly found applications in various disciplines ranging from medicine to telecommunications. One such discipline is the microwave remote sensing where only a limited academic literature exists on how to utilize time-reversal concept for improved sensing performance. This book, therefore, introduces novel time-reversal based signal processing techniques employing ultrawideband electromagnetic waves for the detection and imaging of obscured objects. Several distinct algorithms utilizing spatial, frequency and polarization data have…mehr

Produktbeschreibung
Over last few decades, the time-reversal techniques
have increasingly found applications in various
disciplines ranging from medicine to
telecommunications. One such discipline is the
microwave remote sensing where only a limited
academic literature exists on how to utilize
time-reversal concept for improved sensing
performance. This book, therefore, introduces novel
time-reversal based signal processing techniques
employing ultrawideband electromagnetic waves for the
detection and imaging of obscured objects. Several
distinct algorithms utilizing spatial, frequency and
polarization data have been theoretically and
numerically analyzed and an inverse filter approach
is introduced for the compensation of lossy and
dispersive environment effects. The algorithms
presented here should especially be helpful to
professionals in the fields of Microwave Remote
Sensing and Signal Processing or anyone else who may
consider adapting these algorithms in different
applications such as microwave breast cancer
detection, nondestructive testing or synthetic
aperture radar.
Autorenporträt
MEHMET EMRE YAVUZ received his PhD degree from The Ohio State
University, Columbus, OH. Currently, he is a Principle
Scientist at Halliburton Technology Research, Houston, Texas.

FERNANDO L. TEIXEIRA received his PhD degree from the University
of Illinois at Urbana-Champaign. Currently, he is an Associate
Professor at the Ohio State University.