We consider binary communication over the additive white Gaussian noise channel with no bandwidth constraint on the channel input signals, assuming the availability of a noiseless delayless feedback link. Although the signals at time t can depend on the noise at times 7 < t and are therefore random functions, we require that the signal energy never exceed a fixed level. We show that the optimal...

Many musical instruments’ sounds can be represented by harmonic and additive noise signals. We are interested in separating these two elements of the sound. We fit a local harmonic model that tracks changes in pitch and of the amplitude of the harmonics. Deterministic changes in the signal suggest that different window sizes should be considered. Various ways to choose appropriate window sizes ...

In this paper, the noise-enhanced detection problem is investigated for the binary hypothesis-testing. The optimal additive noise is determined according to a criterion proposed by DeGroot and Schervish (2011), which aims to minimize the weighted sum of type I and II error probabilities under constraints on type I and II error probabilities. Based on a generic composite hypothesis-testing formu...

In this paper we present a new alternative noise reduction method for color images that were corrupted with additive Gaussian noise. We illustrate that color images have to be processed in a different way than most of the state-of-the-art methods. The proposed method consists of two sub-filters. The main concern of the first subfilter is to distinguish between local variations due to noise and ...

This paper presents an important application of a novel information theoretic order estimation method, minimum description complexity (MDC). The selection of optimum number of poles and zeros in identification of LTI systems based on observed data is accomplished by MDC. The comparison of MDC with important existing order estimation methods, MDL and AIC, is provided.

ABSTRACT On the base of the estimator variance analysis we present a classification for a number digital chaos communication schemes and conventional spread spectrum techniques, which allows the qualitative comparison of the behaviour of the systems under the presence of additive white Gaussian noise on the channel. The classification results in a ranking and shows that the conventional stored-...

• The direct part (i.e., achievablity of transmission at rates approaching 1 2 log2(1+ P σ z )) however does not rely on the noise being AWGN and the theorem holds for a much broader class of channels. In fact, the proof below requires only that the noise have average power σ2 z and that it is empirically uncorrelated with the input signal. Thus, the noise may be non-Gaussian, and does not even...

We describe procedures for designing optimal and suboptimal linear detectors (discrete-time case) for additive white noise channels. We rst describe a technique for designing linear detectors based on the Wiener theory of nonlinear systems. Next, exact expressions for optimal linear detector are found when the noise amplitude's probability distribution is stable. We then describe how to computa...

This paper proposed an adaptive multi-ary steganographic method based on additive noise to ensure the security of secret information. In order to minimizing the distortion caused by embedding operations, the characteristics of multi-ary steganography by adding removable noise and multi-ary matrix embedding are analyzed, and then a combination-based coding method is proposed for embedding inform...