One of the most important prediction problems in finite population is the prediction of a linear function of characteristic values of a finite population. In this paper the admissibility of linear predictors of an arbitrary linear function of characteristic values in a finite population under reflected normal loss function is considered. Under the super-population model, we obtain the condition...

In this work we develop and study a framework for tracking and prediction of multipath components for wireless MIMO channels. The proposed methodology is a multi-stage procedure that relies on the concept of hypermodels, which capture the dynamics for each multipath. First the individual multipaths are resolved and extracted. In this work we also develop a new estimation algorithm based on the ...

Prediction of the rapidly fading envelope of a mobile radio channel enables a number of capacity improving techniques like fast resource allocation or fast adaptive modulation. Some power prediction algorithms are based on linear prediction of the taps of the complex impulse response and then forming the power prediction as the sum of the absolute square of the prediction of the taps in the imp...

Linear prediction (LP) is the most prevalent method for spectral modelling of speech, and line spectrum pair (LSP) decomposition is the standard method to robustly represent the coefficients of LP models. Specifically, the angles of LSP polynomial roots, i.e. line spectrum frequencies (LSFs), encode exactly the same information as LP coefficients. The conversion of LP coefficients to LSFs and b...

Representation theory for the Jordanian quantum algebra Uh(sl(2)) is developed using a nonlinear relation between its generators and those of sl(2). Closed form expressions are given for the action of the generators of Uh(sl(2)) on the basis vectors of finite dimensional irreducible representations. In the tensor product of two such representations, a new basis is constructed on which the gener...

It is a classical result of linear prediction theory that as long as the minimum prediction error variance is nonzero, the transfer function of the optimum linear prediction error filter for a stationary process is minimum phase, and therefore, its inverse is exponentially stable. Here, extensions of this result to the case of nonstationary processes are investigated. In that context, the filte...

Prediction of the rapidly fading envelope of a mobile radio channel enables a number of capacity improving techniques like fast resource allocation or fast adaptive modulation. Some power prediction algorithms are based on linear prediction of the taps of the complex impulse response and then forming the power prediction as the sum of the absolute square of the prediction of the taps in the imp...

For linear predictive coding (LPC) of speech, the speech waveform is modelled as the output of an all-pole filter. The waveform is divided into many short intervals (10-30 msec) during which the speech signal is assumed to be stationary. For each interval the constant coefficients of the all-pole filter are estimated by linear prediction by minimizing a squared prediction error criterion. This ...

In this paper, a novel neuro-fuzzy system has been introduced for the use of approximation and prediction of complex plants. The proposed system uses a parameter estimation network to provide coefficients of a linear combination, dynamically and then identifies a plant by approximating its target signal. So we have called it PENTA which stands for Parameter Estimation Network for Target Approxi...