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The transmission phase variations versus gain in common emitter and common base amplifiers are analyzed revealing that these stages can be tuned to yield opposite phase characteristics versus gain. By cascading these two stages, e.g., on the basis of a cascode, and optimizing added feedback elements, it is possible to compensate these phase variations. A(More)
This paper presents an active BiCMOS circulator based phase shifter suitable for spatial diversity transceivers in the C-band. Up to 10 GHz, a phase control range of at least 90 ° and a gain of 0 ± 0.5 dB can be realized. The circuit uses a single supply of 1.8 V and draws a maximum current of 4.6 mA. The proposed phase control principle(More)
Neural networks are intended to be used in future nano-electronic systems since neural architectures seem to be robust against malfunctioning elements and noise in their weights. In this paper we analyze the fault-tolerance of Radial Basis Function networks to Stuck-At-Faults at the trained weights and at the output of neurons. Moreover, we determine upper(More)
In this paper, we study beamforming schemes for a novel MIMO transceiver, which performs adaptive signal combining in the radio-frequency (RF) domain. Assuming perfect channel knowledge at the receiver side, we consider the problem of designing the transmit and receive RF beamformers under orthogonal frequency division multiplexing (OFDM) transmissions. In(More)
In this paper, we study transmission schemes for a novel OFDM-based MIMO system which performs adaptive signal combining in radio-frequency (RF). Specifically, we consider the problem of selecting the linear precoder and the transmit and receive RF weights (or beamformers) for minimizing the bit error rate (BER) under the assumption of perfect channel(More)
—In this paper, we study beamforming schemes for a novel MIMO transceiver, which performs adaptive signal combining in the radio-frequency domain. Assuming perfect channel knowledge at both the transmit and receive sides, we consider the problem of selecting the transmit and receive RF beamformers that maximize the capacity (MaxCAP criterion) of the system(More)
The challenge of future nanoelectronic applications, e.g. in quantum computing or in molecular computing, is to assure reliable computation facing a growing number of malfunctioning and failing computational units. Modeled on biology artificial neural networks are intended to be one preferred architecture for these applications because their architectures(More)
An architecture for implementing the maximum ratio combining (MRC) in the radio-frequency (RF) domain has recently been proposed based on applying vector modulators at each branch. In this paper we study a simplified architecture, which eliminates the need for IQ mixing and reduces the number of adders. Interestingly , the optimal beamforming solution,(More)