Cognitive Radio Receiver Front-Ends: RF/Analog Circuit Techniques

Software-defined radio
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Biography : Dr.

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Sudhakar Pamarti is an associate professor of electrical engineering at the University of California, Los Angeles. He received the Bachelor of Technology degree in electronics and electrical communication engineering from the Indian Institute of Technology, Kharagpur in , and the M.

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Cognitive Radio Receiver Front-Ends. RF/Analog Circuit Techniques. Authors: Sadhu, Bodhisatwa, Harjani, Ramesh. Free Preview. Discusses in detail the. This book focuses on the architecture and circuit design for cognitive radio receiver front-ends. The authors first provide a holistic explanation of RF circuits for.

Friday February 26th, at a. Abstract : The majority of textbook material on analog circuit design is based on the square-law model for MOS transistors. While this model remains useful for teaching, it has become too inaccurate for design in nanoscale CMOS. In circuit simulators, this problem has been solved using complex models equations with hundreds of parameters. This tutorial presents a systematic design methodology that bridges the gap between simulation, hand analysis and script-based optimization.

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We will detail the inner workings of this approach, and showcase its capabilities using a variety of practical examples. He received the Ph. Friday March 11th, at p.

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This talk examines the potential of silicon photonic microring resonator-based optical transceivers for compact wavelength-division multiplexing WDM optical interconnects. An overview of the photonic devices typically found in a ring resonator optical interconnect platform is provided and the design of transceiver circuits which address key challenges related to the modulators and drop filters is described. Biography : Samuel Palermo received the B.

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It can be seen that the weak QAM signal can be detected, but the performance is poor, as shown by the constellations in Figure 11 b. Furthermore, feature parameters can be extracted. A multi-giga-Hertz frequency coverage may sound aggressive, but it is technically achievable, considering recent advances in electronic devices and our experience in UWB radio. The weighted spectrum estimate WSE a is further processed by taking into account inputs from the IT estimator, primary users, other secondary users requirements and channel conditions. It is evident that in cognitive radio transmission, the total bandwidth exploited is less than the total bandwidth W.

From to , he was with Texas Instruments, Dallas, TX, where he worked on the design of mixed-signal integrated circuits for high-speed serial data communication. His research interests include high-speed electrical and optical interconnect architectures, high performance clocking circuits, and integrated sensor systems. Thursday January 28, at a.

Marimo Electronics' Cognitive Radio System based on RadioVerse

This intrinsically creates large open-loop distortion components that need to be compressed through feedback to insure high closed-loop linearity. Minimizing close loop residual distortion involves three steps that will be discussed.

Cognitive Radio Receiver Front-Ends: RF/Analog Circuit Techniques

First, eliminate all open-loop source of distortion not intrinsic to the proper operation of the push pull structure. Second, choose the amplifier topology that gives the maximum close loop compression of the open-loop distortion components for a given bandwidth. In he joined the University of Pavia where he is now a Full Professor. He promoted the establishing of several design centre from multinational IC companies in the Pavia area among them Marvell for which he has been consulting from Monday October 26, at a.

Familier, I. Venerus, I. Weltin-Wu, G.

Cognitive Radio Receiver Front-Ends - Book | S-Logix

Zhao, I. Gudem; James F. Venerus, J.

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