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The design and construction of electronic circuits need the creation of innovative methods for analysing signals for increased performance, which led to the birth of the discipline of signal processing. Signal processing is a branch of electronics and electrical engineering that focuses on the creation and analysis of many types of signals, including electrical, electronic, sound, picture, and video signals. Both the characteristics of the signal and the outcome one wants to achieve decide the technique to be used. The present work is a novel attempt of employing complex network for signal analysis. The analysis of the Fourier component of a square wave reveals the untapped potential of complex network and graph properties. Investigation is also done into the changes that occur when the Fourier series' terms are added and how they affect the graph's features. [ABSTRACT FROM AUTHOR]

Rectifiers are unavoidable parts of most of the electronic circuits which necessitate a proper analysis and understanding of the ripple component present at the output of the rectifier. The present study employs a unique methodology for studying the ripple component through the construction of a complex network utilizing the Markov model. The analysis of the Markov chain reveals that a drop in the ripple component is associated with the rise in number of disconnected nodes and last node's self-loop probability. In the absence of filtering, it is observed that the output of the rectifier exhibits interconnectivity among all the nodes through edges. There is a positive correlation between filtering efficiency and indegree. [ABSTRACT FROM AUTHOR]