An algorithm that simultaneously determines an appropriate number of neurons and their interaction parameters in a single hidden layer feed-forward neural network (NN) classification model is proposed. First, a large pool of candidate hidden units with second-order inputs interaction is constructed. Next, the hidden layer is designed by selecting appropriate units from the pool. This is achieved through global hidden layer optimization by a simulated annealing technique that adds and deletes hidden units as needed. Experimental results using the proposed model show improved generalization and reduced complexity as compared to previous constructive learning algorithms based on greedy design techniques.
Artefacts which are present in electrocardiogram (ECG) recordings distort detection of life-threatening arrhythmias such as ventricular tachycardia and ventricular fibrillation. The method examines single ECG lead and exploits time domain signal parameters for real-time detection of severe cardiac arrhythmias. The method is dedicated to implementation in mobile ECG telemetry systems, which are designed by using low-power microcontrollers, operating more than a week on a single battery charge. The method has been validated on publicly available databases and the results are presented. We verified our method on ECG signals obtained without pre-selection meaning that the noisy intervals were not omitted from signal analysis.
The utilization of the techniques for Peak to Average Power Ratio (PAPR)
reduction makes the wireless infrastructure conform to rigorous
telecommunication standard specifications (error vector magnitude (EVM), bit
error rate (BER), transmit spectrum mask (TSM)). In modern modulation
schemes reduction of PAPR is important requirement for distortion free and
energy-efficient operation of power amplifiers (PA). In this paper novel
implementation of Peak Windowing method for PAPR reduction in Software
Defined Radio (SDR) Base Stations (BS) is presented. The measurement results
in terms of EVM and ACPR are given for 5 MHz, 10 MHz, 15 MHz, 20 MHz
Long-Term Evolution (LTE) and Wideband Code Division Multiple Access (WCDMA)
modulations. In case of 10MHz LTE signal, we achieved PAPR = 8 dB, EVM =
2.0%, ACPR -52dBc at modulated PA output, antenna point.
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