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Quantum computational complexity is a branch of computational complexity theory that studies the classes of problems that can be solved by quantum algorithms, and the resources that are needed to ...

Efficiency of an algorithm can be measured in terms of execution time that is time complexity and the amount of memory required that is space complexity. Computer Scientists use different notations to ...

Learn how to evaluate the trade-offs between time and space complexity in your algorithm design using tools and techniques such as big O notation, profiling, experimentation, evaluation ...

In this paper, a fast algorithm for MSDD is presented, which reduces the number of trellis paths searched by using a subset search concept. It is proved that its performance is identical to that of ...

After that, we derive the code words for each symbol from the binary tree, giving short code words for symbols with large probabilities and longer code words for symbols with small probabilities [1] .

A new reduced-complexity algorithm for multiple-symbol differential detection ... We propose a reduced-complexity algorithm for MSDD. Our simulations show that the performance of the reduced ...