This paper proposes a robust combination of digital predistortion (DPD) and crest factor reduction (CFR) for radio frequency (RF) power amplifiers (PAs). It is constructed using the architecture of CFR-DPD connected with a compensation module (CM). The compensation module is introduced to achieve mutual compensation between the output signals of CFR and DPD, and this can reduce the damage to th...

With the next generation of mobile communication being trialled across world, 5G New Radio (NR) promises to provide a flexible radio interface that fits diverse range use cases. As trials and pilots progress, propagation studies are required evaluate electromagnetic (EM) effects for NR signals. In this article, signals used over-the-air (OTA) error vector magnitude (EVM) within line-of-sight (L...

This work proposes a direct sequence spread spectrum transmitter with high transmission range and efficiency for audio signals. It is shown that by choosing high process gain for spread spectrum signal the data could reach a range of 55km in the 2.4GHz ISM band. By employing a light modulation scheme, we have a relaxed SNR requirement for having a low bit error rate (BER) which translates to re...

Direct RF sampling has been suggested as a solution for receivers that are flexible in frequency and across standards, while utilising only single radio front-end. However there concerns about their robustness the presence of out-of-band in-band blockers. Tunable filtennas offer to this, incorporating filtering into antenna space providing rejection unwanted signals. This paper presents filtenn...

We present SBFT: a scalable decentralized trust infrastructure for Blockchains. SBFT implements a new Byzantine fault tolerant algorithm that addresses the challenges of scalability and decentralization. Unlike many previous BFT systems that performed well only when centralized around less than 20 replicas, SBFT is optimized for decentralization and can easily handle more than 100 active replic...

Ethnoveterinary medicine (EVM) considers implementation of folk knowledge and skills in animal health care, production and breeding. Also it means understanding of diagnostic, preventive, therapeutic skills and treatments in order to improve public health. EVM has a wide importance in the organic farming and environmental protection. Our studied geographic area is important because it is inhabi...

Several mathematical models have been proposed for the modelling of someone's degrees of belief. The oldest is the Bayesian model that uses probability functions. The upper and lower probabilities (ULP) model, Dempster's model, the evidentiary value model (EVM) and the probability of modal propositions somehow generalize the Bayesian approach. The transferable belief model (TBM) is based on oth...

Smile is one of the key elements in identifying emotions and present state of mind of an individual. In this work, we propose a cluster of approaches to classify posed and spontaneous smiles using deep convolutional neural network (CNN) face features, local phase quantization (LPQ), dense optical flow and histogram of gradient (HOG). Eulerian Video Magnification (EVM) is used for micro-expressi...

Error Vector Magnitude (EVM) or alternately Offset (OEVM) is one of the most important performance to verify for RF circuits such as ZigBee transmitters in order ensure that quality generated modulated-signal complies with requirements wireless communication standard. The conventional solution measure this relies on use an Automatic Test Equipment (ATE) equipped expensive channels. This paper p...