Digital Signal Processing (DSP) is the process of capturing, analysing, and manipulation of usually an analog signal by a digital processor, e.g. a digital computer. The theory of DSP is quite complex and requires good understanding of high level of mathematics. Students new to DSP are usually taught the theory in great detail with very little or no practical applications. For example, in many cases a student can derive complex equations for digital filters, but is unable to implement a digital filter in real life. Some institutions use tools such as MATLAB to derive the coefficients of digital filters and then simulate the behaviour of these filters on a PC. Although simulation can be an invaluable tool in teaching, it is never the same as real-time and real-life implementations. The aim of this webinar is to outline the basic principles of DSP and to introduce DSP from a practical point of view, using minimum of mathematics. The practical implementation is described using widely available low-cost general purpose microcontrollers so that DSP applications can be designed with ease. The webinar will focus on using high-end PIC18F series of microcontrollers. Reference will be made to author's recent DSP book (see Elektor web site).
Presenter: Professor Dogan Ibrahim
Dogan Ibrahim is a Professor at the Near East University in Cyprus. He has almost 30 years of experience in real-time embedded systems design and digital signal processing. Dogan is the author of over 60 technical books published by famous publishers such as Wiley, Butterworth-Heinemann, Newnes, and Elektor.