Thisbook contains revised contributions byt he speakers oft he 1s t IEEE Workshop on Wireless Communication Circuits andSystems, held in Lucerne, Switzerland, from June 22-24, 1998. The aim oft he workshop was to apply the vast expertise oft he CAS Society in the area of circuit and systemdesign to therapidly growing field of wireless communications. Theworkshop combined presentations by invited experts from academia and industry with panel and informal discussions. The following topics were covered: RFSystemInteg ration (single chip systems, CM OS RF circuits), RFFront End Circuits (CMOS RF...

Cellular Neural Networks (CNNs) constitute a class of nonlinear, recurrent and locally coupled arrays of identical dynamical cells that operate in parallel. ANALOG chips are being developed for use in applications where sophisticated signal processing at low power consumption is required.
Signal processing via CNNs only becomes efficient if the network is implemented in analog hardware. In view of the physical limitations that analog implementations entail, robust operation of a CNN chip with respect to parameter variations has to be insured. By far not all mathematically possible CNN...

As the frequency of communication systems increases and the dimensions of transistors are reduced, more and more stringent performance requirements are placed on analog circuits. This is a trend that is bound to continue for the foreseeable future and while it does, understanding performance trade-offs will constitute a vital part of the analog design process. It is the insight and intuition obtained from a fundamental understanding of performance conflicts and trade-offs, that ultimately provides the designer with the basic tools necessary for effective and creative analog design....

Thisbook contains revised contributions byt he speakers oft he 1s t IEEE Workshop on Wireless Communication Circuits andSystems, held in Lucerne, Switzerland, from June 22-24, 1998. The aim oft he workshop was to apply the vast expertise oft he CAS Society in the area of circuit and systemdesign to therapidly growing field of wireless communications. Theworkshop combined presentations by invited experts from academia and industry with panel and informal discussions. The following topics were covered: RFSystemInteg ration (single chip systems, CM OS RF circuits), RFFront End Circuits (CMOS RF...

Cellular Neural Networks (CNNs) constitute a class of nonlinear, recurrent and locally coupled arrays of identical dynamical cells that operate in parallel. ANALOG chips are being developed for use in applications where sophisticated signal processing at low power consumption is required.
Signal processing via CNNs only becomes efficient if the network is implemented in analog hardware. In view of the physical limitations that analog implementations entail, robust operation of a CNN chip with respect to parameter variations has to be insured. By far not all mathematically possible CNN...