In this paper, we discuss the performance of the orthogonal frequency division multiplexing (OFDM) wireless communication systems using the binary phase shift keying (BPSK) modulation over Rayleigh fading channel implementing the generalized receiver (GR) constructed in accordance with the generalized approach to signal processing in noise. We compare OFDM-BPSK wireless communication systems ba...

In this paper, we consider the detection problem with intermittent observations, due to the unreliable shared communication link between local sensors and the fusion center. Detection performance is analyzed using Neyman-Pearson criterion of maximizing the probability of detection, for a given probability of false alarm. The detector performance is compared, with and without intermittent observ...

Akaike's criterion is used to test composite hypotheses ; for example to determine the order of AR models. A modiication is presented to test composite hypotheses given an upper-bound on the error of the rst kind (Neyman-Pearson). The presented theory is applied to AR order estimation and veriied by simulations. The experimental results are so good that we consider the AR order estimation probl...

This paper studies the Generalized Neyman–Pearson (GNP) optimality of empirical likelihood-based tests for parameter hypotheses. The GNP optimality focuses on the large deviation errors of tests, i.e., the convergence rates of the type I and II error probabilities under fixed alternatives. We derive (i) the GNP optimality of the empirical likelihood criterion (ELC) test against all alternatives...

The theory of distributed detection is receiving a lot of attention. A common assumption used in previous studies is the conditional independence of the observations. In this paper, the optimization of local decision rules for distributed detection networks with correlated observations is considered. We focus on presenting the detection theory for parallel distributed detection networks with fi...

In this paper, the Bayesian, Neyman-Pearson and Competitive Neyman-Pearson detection approaches are analyzed using a perceptually modified Ephraim-Malah (PEM) model, based on which a few practical voice activity detectors are developed. The voice activity detection is treated as a composite hypothesis testing problem with a free parameter formed by the prior signal-to-noise ratio (SNR). It is r...