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100.810  Articles
1 of 10.081 pages  |  10  records  |  more records»
In this paper, we present upper bounds for the rate distortion function (RDF) of finite-length data blocks of Gaussian wide sense stationary (WSS) sources and we propose coding strategies to achieve such bounds. In order to obtain those bounds, we previou... see more

In this paper, we obtain an integral formula for the rate distortion function (RDF) of any Gaussian asymptotically wide sense stationary (AWSS) vector process. Applying this result, we also obtain an integral formula for the RDF of Gaussian moving average... see more

Although Shannon introduced the concept of a rate distortion function in 1948, only in the last decade has the methodology for developing rate distortion function lower bounds for real-world sources been established. However, these recent results have not... see more

The explicit form of the rate-distortion function has rarely been obtained, except for few cases where the Shannon lower bound coincides with the rate-distortion function for the entire range of the positive rate. From an information geometrical point of ... see more

Various studies exist on the social functions of humour and such studies have been carried out in diverse fields that range from the humanities to the sciences. In linguistics specifically, research shows that humour has been studied from the perspectives... see more

Mixture distributions arise in many parametric and non-parametric settings—for example, in Gaussian mixture models and in non-parametric estimation. It is often necessary to compute the entropy of a mixture, but, in most cases, this quantity has no closed... see more

The essential part of Cognitive Radio (CR) is spectrum sensing, so that the underutilized spectrum could be detected to improve the spectrum efficiency. For this purpose, a wide range of frequency bands are considered and locations of multiple occupied sp... see more

In this paper, we use the adaptive kernel estimates method to improve nonparametically the estimator of the probability density function (pdf) using the Erlang kernel (Erlang estimator). In addition, the cumulative distribution (cdf) of the improved Erlan... see more

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