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In this paper, we propose a general smartphone user activity prediction framework utilizing the general concept of partial repetitive behavior (instead of the stronger periodicity condition) for similarity scoring and the landmark behaviors (representative behaviors to identify groups of similar behavior vectors). Prediction of the next-day(s) behavior is based on a weighted sum of the most similar...
In this paper, a novel Adaptive Voice Activity Detection (VAD) algorithm is proposed, which is successfully implemented in a MFCC based speech recognition system. The proposed adaptive VAD describes a novel scheme of detecting speech presence/absence by tracking the higher portion of speech power spectrum. Both clean and noisy speech is used to show the effectiveness of the proposed VAD algorithm...
This paper proposes a digital implement method of selective harmonic elimination pulse width modulation (SHEPWM) based on digital signal processor (DSP). First, the switching angles for eliminating selective harmonics are calculated with computer-aided software, and functional relationships between modulation indexes and switching angles are obtained. The curve fitting technique is then used to fit...
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