• Vaibhav Srivastava
• Ramapati Mishra

Nowadays we are used to perform many filtering tasks which in the not so distant past were performed almost exclusively by analog filters and are replacing the traditional analog filters in many applications. Along with the advantages, such as, high accuracy and reliability, small physical size and reduced sensitivity to component tolerances or drift, digital implementations helps to achieve certain characteristics not possible with analog designs such as exact linear phase and multirate operation. They are applied to very low frequency signals, such as those occurring in biomedical and seismic applications very efficiently. In addition, the characteristics of digital filters can be changed or adapted by simply changing the content of a finitenite number of registers, thus multiple filtering tasks can be performed by one programmable digital filter without the need to replicate the hardware. With the ever increasing number of applications involving digital filters, the variety of requirements that have to be met by them is increased. Consequently design techniques that are capable of satisfying sophisticated design requirements are becoming an impregnable necessity.

Pass band, Stop band ripples, PSO, Velocity formula.

"Filter Design Strategy Using Optimization Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.634-638, June 2019, Available :http://www.jetir.org/papers/JETIR1906V92.pdf

"Filter Design Strategy Using Optimization Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp634-638, June 2019, Available at : http://www.jetir.org/papers/JETIR1906V92.pdf