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We present a digital system for adaptive data compression for low power wireless transmission of Electroencephalography (EEG) data. The proposed system acts as a base-band processor between the EEG analog-to-digital front-end and RF transceiver. It performs a real-time accuracy energy trade-off for multi-channel EEG signal transmission by controlling the volume of transmitted data. We propose a multi-core...
In this paper, we describe a design of the hardware interface and communication process of a wireless data acquisition system using a monolithic CC1100 chip working with a PIC16Fxxx MCU. The design has been applied to collect data during the transportation of petroleum products in the petrochemical industry. The fault tolerance problem in the one-to-many data communication is solved. This paper also...
In this paper, a process tunable, continuously adaptive wireless front end architecture and related adaptation algorithms are presented that allow an RF transceiver to function at minimum power irrespective of channel conditions and process variability induced performance loss in the RF front end and baseband interface. Current wireless transceiver front ends are designed for worst case channel conditions...
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