有哪些信誉好的足球投注网站a novel estimator for the rate of information transfer by continuous signals一种新颖的估计量的信息传递的速度连续信号.pdfVIP
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a novel estimator for the rate of information transfer by continuous signals一种新颖的估计量的信息传递的速度连续信号
A Novel Estimator for the Rate of Information Transfer by
Continuous Signals
¨ ¨ ¨ ¨
Jouni Takalo, Irina Ignatova, Matti Weckstrom, Mikko Vahasoyrinki*
Department of Physics, Biophysics and Biocenter Oulu, University of Oulu, Oulun yliopisto, Finland
Abstract
The information transfer rate provides an objective and rigorous way to quantify how much information is being
transmitted through a communications channel whose input and output consist of time-varying signals. However, current
estimators of information content in continuous signals are typically based on assumptions about the system’s linearity and
signal statistics, or they require prohibitive amounts of data. Here we present a novel information rate estimator without
these limitations that is also optimized for computational efficiency. We validate the method with a simulated Gaussian
information channel and demonstrate its performance with two example applications. Information transfer between the
input and output signals of a nonlinear system is analyzed using a sensory receptor neuron as the model system. Then, a
climate data set is analyzed to demonstrate that the method can be applied to a system based on two outputs generated
by interrelated random processes. These analyses also demonstrate that the new method offers consistent performance in
situations where classical methods fail. In addition to these examples, the method is applicable to a wide range of
continuous time series commonly observed in the natural sciences, economics and engineering.
¨ ¨ ¨ ¨
Citation: Takalo J, Ignatova I, Weckstrom M, Vahasoyrinki M (2011) A Novel Estimator for the Rate of Information Transfer by Continuous Signals. PLoS ONE 6(4):
e18792. doi:
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