This paper presents a statistical framework for microphone identification using only digital audio recordings. To accomplish this task, the microphone-induced artifacts are modeled using a nonlinear function and then a statistical tool based on higher-order statistics is used to capture these artifacts. More specifically, polyspectral analysis is used to capture microphone-induced artifacts. Di...

A general formula is given for the conditional mean in terms of higher order statistics. Using this formula, a general scheme for nonlinear system identi cation is introduced including a broad range of nonlinearities which depends on the probability density function of the input. As a special case of that general scheme, the polynomial system identi cation problem is treated. It is shown that o...

We analyze the level crossing rate (LCR) and the average fade duration of the output signalto-noise-ratio (SNR) in generalized switched diversity systems. By using a common approach, we study these higher order statistics for two different kinds of configurations: (1) Colocated diversity, i.e. receiver equipped with multiple antennas, and (2) Distributed diversity, i.e. relaying link with multi...

Playing out the game from the current state to the end many times randomly, provides statistics that can be used for selecting the best move. This play-out analysis has proved to work well in games such as Backgammon, Bridge, and Go. This paper introduces a method that selects relevant patterns of moves to collect higher order statistics. This can be used to improve the quality of the play outs...

Assuming an auto regressive (AR) lter model driven by a non-Gaussian white noise we formulate a general parameter estimation problem. A maximum likelihood solution gives an AR estimate of the l-ter and the probability distribution function parameters for non-Gaussian input. The proposed method is optimal in the information theoretic sense, giving the most probable model for the source and lter ...