Title :
Anamorphic time stretch transform and its application to analog bandwidth compression
Author :
Asghari, Mohammad H. ; Jalali, Bahram
Author_Institution :
Dept. of Electr. Eng., Univ. of California, Los Angeles, Los Angeles, CA, USA
Abstract :
A method for compressing the time-bandwidth of analog signals is introduced and demonstrated. As one of its applications, this mathematical transformation performs feature-selective time-stretch. When used as an analog pre-processor before the digitizer, it enables capture of random signals that would otherwise be beyond digitizer´s bandwidth. At the same time, it compresses the digital data volume. Our method is lossless and does not require prior knowledge of the signal. It is inspired by operation of Fovea centralis in human eye and by anamorphic transformation in visual arts. Implemented in the digital domain, the proposed transform also performs data and image compression.
Keywords :
data compression; signal sampling; transforms; Fovea centralis; analog bandwidth compression; analog preprocessor; anamorphic time stretch transform; anamorphic transformation; data compression; feature-selective time-stretch; image compression; random signals; signal sampling; Bandwidth; Delays; Image coding; Optical filters; Optical modulation; Transforms; Ambiguity function; Analog-to-Digital Converter; Anamorphic Stretch Transform; Feature selective sampling; Generalized Dispersive Fourier Transform; Generalized wavelength-time mapping; Photonic time stretch; Same-domain transform; Time frequency distribution; Warped Stretch Transform; Warped dispersive Fourier transform; Warped temporal imaging; Wigner distribution function; big data; image compression;
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GlobalSIP.2013.6737065
