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In spite of several decades of intense research and development, the existing algorithms of myoelectric pattern recognition (MPR) are yet to satisfy the criteria that a practical upper extremity prostheses should fulfill. This study focuses on the criterion of the short, or even zero subject training. Due to the inherent nonstationarity in surface electromyography (sEMG) signals, current myoelectric...
Pattern recognition based myoelectric prostheses (MP) need a training procedure for calibrating the classifier. Due to the non-stationarity inhered in surface electromyography (sEMG) signals, the system should be retrained day by day in long-term use of MP. To boost the training procedure in later periods, we propose a method, namely Mixed-LDA, which computes the parameters of LDA through combining...
The paper analyzes the bit-error rate (BER) performance of rectangular quadrature amplitude modulation (QAM) and gives the exact closed-form expression of average BER over Rician fading channel. The presented formula is valid for arbitrary bits-to-symbols mapping including Gray and non-Gray cases. Deduction of average BER only involves integral operation on basic functions, which is much easier to...
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