• Ravjot Kaur
• Ranjit Kaur

In this paper a digital Infinite impulse response (IIR) digital filter is proposed which is designed using crow search optimization algorithm (CSA). CSA is population based metaheuristic algorithm which works on the intelligent activities of crows. CSA is based on the inspiration that crows hide their excess food in inaccessible places and get back it when needed. The intent of this work is to optimize coefficients of filter using CSA so that magnitude response error and passband and stopband ripples are minimized. The designed filter is further applied for recognition of cancer cells using Genomic signal processing (GSP) which is the study of genes. The ratio of mean amplitude and frequency is used to develop methodology for recognition of cancer cell from Homo sapiens DNA. Ratio of cancer cell differentiates from normal cell. This research will help in prediction of cancer in pre-stage and will further aid in the treatment.

Infinite Impulse Response (IIR) Filter, Crow Search Algorithm (CSA), Magnitude Response, Optimization, Genomic Signal Processing (GSP), Cancer Cell, DNA.

"Design of Digital IIR Filter using Crow Search Optimization Algorithm for Cancer Cell Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.310-317, July-2018, Available :http://www.jetir.org/papers/JETIR1807765.pdf

"Design of Digital IIR Filter using Crow Search Optimization Algorithm for Cancer Cell Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp310-317, July-2018, Available at : http://www.jetir.org/papers/JETIR1807765.pdf