This course covers advanced digital signal processing topics, including signal processing fundamentals, analog to digital conversion, discrete-time signals, and systems. By the end of the course, students will be able to understand the concept of frequency, the advantages and disadvantages of digital signal processing, and the classification of discrete-time signals based on various criteria. The course teaches skills such as analyzing discrete-time signals and characterizing discrete-time systems. The teaching method involves reviewing fundamental concepts and providing examples for better understanding. This course is intended for individuals interested in expanding their knowledge of digital signal processing.
Overview
Syllabus
Signal Processing Fundamentals Review (part 1).
Signal Processing Fundamentals Review (part 2): Concept of Frequency.
Analog to Digital Conversion (Sampler block).
Analog to Digital Convertor : Quantization Process.
Analog vs Digital Signal Processing: Advantages & Disadvantages of DSP.
Representation of discrete time signals.
Elementary Discrete Time Signals.
Classification of Discrete-time Signals (based on energy, power, periodicity and symmetry).
Discrete-time Systems: Characterization and Examples.
Taught by
Decipher Technic
