The Poisson probability distribution is frequently encountered in physical science measurements. In spite of the simplicity and familiarity of this distribution, there is considerable confusion among ...

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Sampling isn’t just recycling old sounds—it’s a powerful form of musical storytelling that bridges generations, honors cultural legacy, and sparks innovation. Imagine sitting in your car, listening to ...

Differentially Private Stochastic Gradient Descent (DP-SGD) is a key method for training machine learning models like neural networks while ensuring privacy. It modifies the standard gradient descent ...

Abstract: Remote source coding for signal estimation via random sampling is analyzed. We consider a stationary Gaussian source to be estimated from samples randomly scattered according to a ...

Abstract: Packet sampling measurement is a key technique in high-speed network traffic monitoring and management. In this paper, packet sampling techniques are introduced and analyzed after the ...