The Jensen–Shannon divergence is a renown bounded symmetrization of the Kullback–
Leibler divergence which does not require probability densities to have matching supports …

In recent years, extensive multimodal medical image fusion algorithms have been proposed.
However, existing methods are primarily based on specific transformation theories. There …

Millimeter wave (mmWave) communication with large antenna arrays is a promising
technique to enable extremely high data rates due to large available bandwidth in mmWave …

Divergence measure is a significant tool for evaluating the amount of discrimination for IFSs.
Since then it has acquired concentration for their applications in different areas. In this …

Sorting is the task of ordering n elements using pairwise comparisons. It is well known that
m= Θ (n log n) comparisons are both necessary and sufficient when the outcomes of the …

Multi-parameter flow cytometry (MFC) is a cornerstone in clinical decision making for
leukemia and lymphoma. MFC data analysis requires manual gating of cell populations …

In this paper, we consider variable-length coding over the memoryless binary asymmetric
channel (BAC) with full noiseless feedback, including the binary symmetric channel (BSC) …

Objective. Brain computer interface (BCI) technology is an innovative way of information
exchange, which can effectively convert physiological signals into control instructions of …

This paper presents a general approach for optimizing the number of symbols in increments
(packets of incremental redundancy) in a feedback communication system with a limited …

This paper presents a variable-length decision-feedback coding scheme that achieves high
rates at short blocklengths. This scheme uses the reliability-output Viterbi algorithm (ROVA) …