Neelapala Anil KumarAnkita Manjayya NaikChirayu PDeepa J ShettyGnane Swarnadh SatapathiManisa PandaG S Pradeep Ghantasala2025-07-022025-07-022025https://doi.org/10.1016/j.procs.2025.04.116https://gnanaganga.alliance.edu.in/handle/123456789/8298The periodicities present in genomic sequences are mainly responsible for the structure and function of DNA signals. It is primarily a three-base periodicity that has had to be intrinsic to protein-coding regions, as it is used for the placement of exons in eukaryotic DNA sequences. Digital Signal processing (DSP) methods used are Discrete Fourier Transform (DFT) and Artificial Neural Network (ANF)-based techniques, that detect the exons and introns within the gene by utilizing its three-base periodicity property in the spectral domain. Various other methods, which are also based upon this peculiar feature, have grown during the last two decades. Yet, their validity has not, though, been demonstrated in a DSP processor. This paper compares base-3 periodicity in the exons of DNA by using different values of Electron-ion interaction pseudopotential (EIIP), proved by the implementation on digital signal processor (TMS320C6748) and are compared with Ryzen 5 processor results.enDNADigital Signal ProcessorExonsFourier transformjournal-article