Back to Search
Start Over
Chirp images in 2-D fractional Fourier transform domain
- Source :
- 2016 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- Chirp signals are very common in radar, communication, sonar, and etc. Little is known about chirp images, i.e., 2-D chirp signals. In fact, such images frequently appear in optics and medical science. Newton's rings fringe pattern is a classical example of the images, which is widely used in optical metrology. It is known that the fractional Fourier transform(FRFT) is a convenient method for processing chirp signals. Furthermore, it can be extended to 2-D fractional Fourier transform for processing 2-D chirp signals. It is interesting to observe the chirp images in the 2-D fractional Fourier transform domain and extract some physical parameters hidden in the images. Besides that, in the FRFT domain, it is easy to separate the 2-D chirp signal from other signals to obtain the desired image.
- Subjects :
- business.industry
Bluestein's FFT algorithm
02 engineering and technology
021001 nanoscience & nanotechnology
01 natural sciences
Sonar
Fractional Fourier transform
Domain (software engineering)
law.invention
010309 optics
symbols.namesake
Fourier transform
law
0103 physical sciences
Chirp
symbols
Computer vision
Artificial intelligence
Radar
0210 nano-technology
business
Digital filter
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)
- Accession number :
- edsair.doi...........b231d4ed51be9e781886c3f069e86cac
- Full Text :
- https://doi.org/10.1109/icspcc.2016.7753740