TY - JOUR
T1 - Convolution theorems for the linear canonical transform and their applications
AU - Deng, Bing
AU - Tao, Ran
AU - Wang, Yue
PY - 2006/10
Y1 - 2006/10
N2 - As generalization of the fractional Fourier transform (FRFT), the linear canonical transform (LCT) has been used in several areas, including optics and signal processing. Many properties for this transform are already known, but the convolution theorems, similar to the version of the Fourier transform, are still to be determined. In this paper, the authors derive the convolution theorems for the LCT, and explore the sampling theorem and multiplicative filter for the band limited signal in the linear canonical domain. Finally, the sampling and reconstruction formulas are deduced, together with the construction methodology for the above mentioned multiplicative filter in the time domain based on fast Fourier transform (FFT), which has much lower computational load than the construction method in the linear canonical domain.
AB - As generalization of the fractional Fourier transform (FRFT), the linear canonical transform (LCT) has been used in several areas, including optics and signal processing. Many properties for this transform are already known, but the convolution theorems, similar to the version of the Fourier transform, are still to be determined. In this paper, the authors derive the convolution theorems for the LCT, and explore the sampling theorem and multiplicative filter for the band limited signal in the linear canonical domain. Finally, the sampling and reconstruction formulas are deduced, together with the construction methodology for the above mentioned multiplicative filter in the time domain based on fast Fourier transform (FFT), which has much lower computational load than the construction method in the linear canonical domain.
KW - Convolution theorems
KW - Linear canonical transform
KW - Multiplicative filter
KW - Sampling
UR - http://www.scopus.com/inward/record.url?scp=33749469804&partnerID=8YFLogxK
U2 - 10.1007/s11432-006-2016-4
DO - 10.1007/s11432-006-2016-4
M3 - Article
AN - SCOPUS:33749469804
SN - 1009-2757
VL - 49
SP - 592
EP - 603
JO - Science in China, Series F: Information Sciences
JF - Science in China, Series F: Information Sciences
IS - 5
ER -