This project implements a solution for reconstructing sequences based on a given set of rules and operations. The program reads input data, processes it using a dynamic programming approach, and ...

Memory efficient version of the algorithm (using Divide and Conquer) is expected to generate the sequence alignment with lesser memory utilization when compared to Dynamic programming version. However ...

This paper presents a recursive algorithm of combinational optimization to blindly recover transmitted sequences of any length. The recursive algorithm is obtained by using a moving window with a ...

Figure 1 describes two such examples: Viterbi, 23 which finds the most-likely path through a hidden-Markov model for a sequence of observations, and LCS, 10 which finds the longest common subsequence ...

In this article a new algorithm for the design of stationary input sequences for system identification is presented. The stationary input signal is generated by optimizing an approximation of a scalar ...