Abstract Interference is an important limitation in many communication systems. It has been shown situations that the popular Gaussian approximation not adequate and interference exhibits impulsive behavior. This paper surveys different statistical models proposed for such interference, can generally be unified using class of sub-exponential family distributions, its impact on receiver design. ...

Performance of speech recognition systems strongly degrades in the presence of background noise, like the driving noise in the interior of a car. We aim to improve noise robustness focusing on all major levels of speech recognition: feature extraction, feature enhancement, and speech modeling. Different auditory modeling concepts, speech enhancement techniques, training strategies, and model ar...

To solve the problem in which the conventional ARMA modeling methods for gyro random noise require a large number of samples and converge slowly, an ARMA modeling method using a robust Kalman filtering is developed. The ARMA model parameters are employed as state arguments. Unknown time-varying estimators of observation noise are used to achieve the estimated mean and variance of the observatio...