Title :
Kernel approach to discrete-time linear scale-invariant systems
Author :
Lee, Seungsin ; Rao, Raghuveer
Author_Institution :
Center for Imaging Sci., Rochester Inst. of Technol., NY, USA
fDate :
6/23/1905 12:00:00 AM
Abstract :
Zhao and Rao (1998) have proposed linear scale-invariant systems that operate with continuous dilation but in discrete-time. This was done through a discrete-time continuous-dilation operator which tacitly uses warping transforms such as bilinear transforms to implement conversion from discrete time frequency to continuous time frequency. This paper introduces a more general method based on kernels for effecting the dilation. It is shown that the warping function based scaling is a special case. The kernel approach results in an alternative formulation of discrete-time linear scale-invariant systems that possesses desirable properties not seen in the earlier formulation
Keywords :
discrete time systems; linear systems; mathematical operators; signal processing; transforms; bilinear transforms; continuous time frequency; discrete time frequency; discrete-time continuous-dilation operator; discrete-time linear scale-invariant systems; discrete-time signal; kernel approach; self-similarity; warping function based scaling; warping transforms; Discrete transforms; Fourier transforms; Kernel; Network synthesis; Random processes; Signal generators; Signal synthesis; Telecommunication traffic; Time frequency analysis; White noise;
Conference_Titel :
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN :
0-7803-7011-2
DOI :
10.1109/SSP.2001.955222