Modeling polarization for Hyper-NA lithography tools and masks
Kafai Lai, Alan E. Rosenbluth, et al.
SPIE Advanced Lithography 2007
Next generation cognitive radio networks require an RF and mixed signal hardware architecture that can achieve low-energy, very wideband spectrum sensing. We survey state-of-the-art low-power CMOS building blocks as potential candidates for realizing such an architecture. For the critical analog-to-digital converter, we compare time-interleaved and frequency-interleaved architectures, including system-level simulations, and frequency-interleaving is shown to provide significant advantages. Measurement results from a 3.8 mW 5 GHz bandwidth analog domain frequency interleaver are presented to confirm the possibility of a very low-energy frequency domain digitizer. Coupled with DSP for calibration and signal feature extraction, this architecture has significant promise for cognitive spectrum sensing. Copyright © 2014 IEEE.
Kafai Lai, Alan E. Rosenbluth, et al.
SPIE Advanced Lithography 2007
M.J. Slattery, Joan L. Mitchell
IBM J. Res. Dev
Chidanand Apté, Fred Damerau, et al.
ACM Transactions on Information Systems (TOIS)
J.P. Locquet, J. Perret, et al.
SPIE Optical Science, Engineering, and Instrumentation 1998