This paper deals with an efficient and fast approach for determining the mutual inductance between coaxial circular coils of rectangular cross section in combination with thin coaxial circular coils as the thin wall solenoid, the thin disk coil and the filamentary coil. This approach is based on the filament method where conductors are approximated by the set of Maxwell’s coils. The obtained ex...

Peterson’s algorithm [G.L. Peterson, Myths about the mutual exclusion problem, Inform. Process. Lett. 12 (3) (1981) 115–116] for mutual exclusion has been widely studied for its elegance and simplicity. In Peterson’s algorithm, each process has to cross n− 1 stages to access the shared resource irrespective of the contention for the shared resource at that time, and allows unbounded bypasses. I...

In this paper several computer simulations and pool experiments have been carried out to verify and demonstrate underwater communication between moving acoustic sensor nodes over different distances achieving optimum mutual information. We have developed GUI software “SAM-control” that generates m-sequences of 1023 length, handles their transmission and communications between sensor nodes. In a...

In this paper, diversity-multiplexing tradeoff (DMT) curve for 2×2 Dual-Polarized uncorrelated Rice MIMO channels is studied. Exact expressions for statistic information of mutual information exponent are derived. Impacts of channel parameters such as signal to noise ratio (SNR), k-factor and cross polarization discrimination (XPD) on mutual information exponent are analyzed. Compared to conven...

We present a new linear discriminant analysis method based on information theory, where the mutual information between linearly transformed input data and the class labels is maximized. First, we introduce a kernel-based estimate of mutual information with a variable kernel size. Furthermore, we devise a learning algorithm that maximizes the mutual information w.r.t. the linear transformation. ...

Traditional stereo systems often falter over changes in lighting between their two views. Unfortunately, such changes often occur when using stereo with a wide baseline or between images from different spectra. In this paper, we propose a new dense stereo correspondence similarity metric, mutual information, which has the potential to overcome such adverse conditions. We explore the strengths a...

Combining the mutual information criterion with a forward feature selection strategy offers a good trade-off between optimality of the selected feature subset and computation time. However, it requires to set the parameter(s) of the mutual information estimator and to determine when to halt the forward procedure. These two choices are difficult to make because, as the dimensionality of the subs...