احمد طرفه ئي يگانه

In this study, the capabilities of the Fractional Fourier Transform (FRFT) in enhancing signal processing procedures were investigated. This transform, by providing a continuous representation between the time an‎d frequency domains, offers a suitable framework for improving signal compression, reconstruction, an‎d detection. Initially, a sample image was compressed using FRFT an‎d the classical method, reconstructed, an‎d eva‎luated through the MSE an‎d PSNR metrics, where the results demonstrated the significant superiority of FRFT in preserving quality an‎d reducing error. Subsequently, moving radar signals based on sinusoidal waves with diverse an‎d complex frequencies were simulated an‎d analyzed using the MSE, SNR, an‎d NRR criteria. The findings indicate the higher accuracy of FRFT in tracking an‎d separating signal components, particularly in sensitive an‎d military applications. The novelty of this research lies in presenting an analytical an‎d practical framework for utilizing FRFT to improve reconstruction quality an‎d increase signal tracking accuracy, which shows considerably better performance compared to classical approaches.

پردازش سيگنال , فشرده سازي داده ها , كاهش نويز , تحليل سيگنال ها

Signal Processing , Data Compression , Noise Reduction , Signal Analysis

Ahmad Torfeh Yeganeh

Dr. Mohammad Bagher Ghaemi