• This course provides an in-depth study of signal systems and processing techniques.
  • The Fourier Series and Fourier Transform course aims to provide students with a comprehensive understanding of the fundamental concepts and practical techniques used in signal analysis and processing.
  • Upon successful completion of the course, students will grasp the mathematical foundation of Fourier Series and Fourier Transform as tools for analysing signals in the time and frequency domains.
  • They will learn the concepts of periodicity, convergence, and the relationship between time-domain and frequency-domain representations of signals.
  • The course will also develop practical skills for applying Fourier methods to real-world signal processing problems, such as filtering, frequency analysis, and noise reduction.
  • They will explore applications in various domains, such as audio and speech processing, communications, and image processing, and apply Fourier Transform for filtering, spectral analysis, and feature extraction in sample data.