Abstract

Objective: One of the challenges facing modern digital radar receivers is the detection of images with high dynamic range and proximity to one another. An innovative smart FFT (SFFT) based receiver is presented in this paper. Different undersampling rates are taken into consideration for a set of big data to detect more image data more accurately without any prior knowledge. A tumor is a mass of tissue formed by the extra cells. Cells proliferate abnormally and uncontrollably in brain tumors. This study examines separation techniques utilized in biomedical image processing and investigates methods that can improve extraction. The suggested fast Fourier transform (FFT) based receiver uses signal detection image, a squarer, an adaptive gaincontrol amplifier, and other components to analyze incoming signal characteristics and provide real-time accomplishment of these tasks. To present improvements over currently in-use devices in this field, the simultaneous image accommodations and their properties are supplied.