Statistics – Applications
Scientific paper
Jan 1981
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1981ieeep..69...79t&link_type=abstract
IEEE, Proceedings, vol. 69, Jan. 1981, p. 79-92.
Statistics
Applications
14
Noise Reduction, Optical Data Processing, Signal Analysis, Signal Detection, Signal Processing, Spectrum Analysis, Computer Techniques, Correlators, Digital Filters, Radiometers, Time Series Analysis, Wideband Communication
Scientific paper
The use of optical processing for spectrum analysis is discussed with reference to space integrating and time integrating techniques. The space integrating techniques discussed include radiometry for detecting low-level signals in wide-band noise, programmable filtering of electrical signals for interference rejection applications, and an optical technique that is equivalent to one million parallel filters for applications where fast response, high resolution, and wide bandwidth of coverage are required. Time integrating techniques are discussed in terms of time integrating correlators and distributed oscillators. Consideration is given to the use of one-dimensional optical components configured for performing two-dimensional operations.
No associations
LandOfFree
Spectrum analysis using optical processing does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Spectrum analysis using optical processing, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Spectrum analysis using optical processing will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1053679