International Conference on Electronics, Circuits, and Systems 

About: International Conference on Electronics, Circuits, and Systems is an academic conference. The conference publishes majorly in the area(s): CMOS & Amplifier. Over the lifetime, 6650 publications have been published by the conference receiving 35002 citations.

Person identification based on parametric processing of the EEG

Abstract: Person identification based on parametric spectral analysis of the EEG signal is addressed in this work-a problem that has not yet been seen in a signal-processing framework, to the best of our knowledge. AR parameters are estimated from a signal containing only the alpha, rhythm activity of the EEG. These parameters are used as features in the classification step, which employs a learning vector quantizer network. The proposed method was applied on a set of real EEG recordings made on healthy individuals, in an attempt to experimentally investigate the connection between a person's EEG and genetically-specific information. Correct classification scores at the range of 72% to 84% show the potential of our approach for person classification/identification and are in agreement with previous research showing evidence that the EEG carries genetic information.

SFDR-bandwidth limitations for high speed high resolution current steering CMOS D/A converters

Abstract: Although very high update rates are achieved in recent publications on high resolution D/A converters, the bottleneck in the design is to achieve a high spurious free output signal bandwidth. The influence of the dynamic output impedance on the chip performance has been analyzed and has been identified as an important limitation for the spurious free dynamic range (SFDR) of high resolution DAC's. Based on the presented analysis an optimized topology is proposed.

Transmit processing with low resolution D/A-converters

Abstract: We study the transmitter optimization for the flat multi-input multi-output (MIMO) channel under nonlinear distortion from the digital-to-analog converters (DACs). Our design is based on a minimum mean square error (MMSE) approach, taking into account the effects of the transmitter nonlinearities. Our derivation does not make use of the assumption of uncorrelated white distortion (quantization) errors and considers the correlations of the quantization error with the other signals of the system. Through simulation, we compare the new optimized linear transmitter to previously proposed linear transmitter designs when operating under DACs in terms of uncoded BER.

Comparison of Propagation Models Accuracy for WiMAX on 3.5 GHz

Abstract: Fixed Wireless Access (FWA) networks based on WiMAX technology provide efficient packet radio interface enabling high data transmission rates. The accurate prediction of path losses is a crucial element in the first step of network planning. This paper presents few empirical models suitable for path loss prediction in mobile as well as fixed wireless systems like WiMAX. Experimental measurements of received power for the 3.5 GHz WiMAX system are made in urban and suburban areas of Osijek, Croatia. Measured data are compared with those obtained by four prediction models: SUI model, COST 231 Hata, Macro Model and Model 9999. Analysis is made separately for location with NLOS and LOS propagation conditions. Standard deviation of the prediction error for NLOS condition is the lowest for the SUI model. The Macro Model achieved the lowest error standard deviation for LOS propagation conditions.

MEMS for distributed wireless sensor networks

Abstract: MEMS technology is enabling the development of inexpensive, autonomous wireless sensor nodes with volumes ranging from cubic mm to several cubic cm. These tiny sensor nodes can form rapidly deployed, massive distributed networks to allow unobtrusive, spatially dense, sensing and communication. MEMS enable these devices by reducing both the volume and energy consumption of various components. This paper reviews some of the wireless sensor nodes under development and applicable MEMS devices for small and efficient optical communication, micropower generation, and sensing. In addition, CMOS post-process micromachining is discussed as a method of achieving low cost and high integration.