Digital signal analysis of a WK algorithm

For around a decade communication with mobility is a prime necessity in different aspects of education and business fields. Currently, communication has become the first priority not only in different professions but in everyday life with ease, simplicity and smoothness. For smooth communication, error free transmission is needed. For the said objective, a framework is established by serially merging two powerful tools, wavelet and Krylov subspace sequence. The presented algorithm was the PhD research of the author which was well published and is recognised as WK algorithm. This current research paper briefly explained the WK algorithm and applies it with different modulation set to fully make it understandable. The previous findings of the research were on analogue signal only and were recognised in an internationally reputed publication on the basis of which the candidate acquired a PhD degree. The current research was done on the same algorithm but with digital analysis, i.e., the algorithm is tested on digital modulated signal that were BPSK, QPSK and 16-PSK. The findings in the paper were the same as in previous papers: WK's performance is far better than other traditional algorithms, and it gave the desired output in a more efficient manner.