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We concluded the circular-gate transistor is more tolerant to radiation than the rectangular-gate transistor.
This is the only way to successfully design radios to meet the stringent demands of today's increasingly complex wireless systems
Thus, it opens up the possibility of low-power software-defined radios.
It is also important as a convenient base technology for the future context-sensitive, adaptive and learning radio units referred to as cognitive radios.
We demonstrate its suitability for present and future commercial radios.
This is the only way to successfully design radios to meet the stringent demands of today's increasingly complex wireless systems.
Experimental results obtained for a silicon RF bipolar transistor demonstrate validity of the method.
Proceedings ArticleDOI
23 Oct 2006
8 Citations
Theses smart radios, or cognitive/software-defined radios (C/SDR), can potentially make more efficient use of the available RF spectrum and adapt to a wide range of protocols and environments.
The transistor design could provide the basis for low-noise radiation-tolerant circuits.
Proceedings ArticleDOI
Gaurav Gandhi, Varun Aggarwal, Leon O. Chua 
01 Jun 2014
19 Citations
The paper demonstrates that the first radios were made of memristor and provides novel applications of the same.

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What testbeds exist for cooperative ai?
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How does the choice of K-Nearest Neighbors (KNN) affect the performance of microwave absorbers in wireless communication systems?
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The choice of K-Nearest Neighbors (KNN) significantly impacts the performance of microwave absorbers in wireless communication systems. In the context of microwave devices optimization, a novel algorithm combining KNN and differential evolution methods was proposed to enhance convergence speed and global optimization ability, showcasing improved performance in benchmarking experiments involving waveguide filters and antennas. Additionally, in the realm of cognitive radio technology, the KNN algorithm is utilized for spectrum sensing tasks, where the selection of an optimal K value plays a crucial role in achieving efficient and effective classification of secondary users, thereby enhancing overall system performance. Moreover, in regression analysis, innovative decision models based on density and KNN techniques have been developed to address limitations in traditional KNN approaches, resulting in improved performance and accuracy for wireless communication applications.
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What is the number of studies on memcapacitor emulator in the literature?
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Is there any fine material about bluetooth technology to write a student paper?
4 answers
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