Digital Signal Processing 4: Applications

This course is part of Digital Signal Processing Specialization

Instructors: Paolo Prandoni +1 more

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What you'll learn

  •   The basics of image processing
  •   How digital communication systems work, including ADSL
  •   How to program a microcontroller to implement real-time DSP algorithms
  • Skills you'll gain

  •   Computer Hardware
  •   Quantitative Research
  •   Digital Communications
  •   Debugging
  •   Embedded Systems
  •   Telecommunications
  •   Electronic Systems
  •   Algorithms
  •   Electrical and Computer Engineering
  •   Applied Mathematics
  •   Engineering Analysis
  •   Electronics
  •   Image Analysis
  • There are 3 modules in this course

    The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice. To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course.

    DIGITAL COMMUNICATIONS AND ADSL

    MODULE 4.3: REAL-TIME AUDIO SIGNAL PROCESSING

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