Digital Signal Processing

The explosion of digital data in today’s world means it is crucial for learners to understand and practice how to manage and process digital signals that come in from a wide variety of sources. Arm Education Media is addressing this need with the creation of our Digital Signal Processing (DSP) online course.

This online course is powered by Arm Cortex-M4-based microcontrollers, which enable high performance yet energy-efficient digital signal processing at a very affordable price. By reducing the barrier of entry  with the introduction of these low cost development boards, the DSP online course will allow students to practice theory with advanced hardware.

Purchase Course Online

If you are interested in an institutional subscription, contact the Arm Education Media team at edumedia@arm.com

Course aims

The course aims to help learners develop their capability of designing DSP systems and creating commercially-viable audio applications using high-performance and energy-efficient Arm processors.

Learning outcomes

Knowledge and understanding of

  • DSP basic concepts such as sampling, reconstruction and aliasing
  • Fundamental filtering algorithms such as FIR, IIR, FFT
  • Arm-based microcontrollers as low-power DSP computing platforms
  • Software programming basics and principles

Intellectual

  • Ability to choose between different DSP algorithms for different applications
  • Ability to use different design methods to achieve better results
  • Ability to evaluate experimental results (e.g. quality, speed, power) and correlate them with the corresponding designing and programing techniques

Practical

  • Ability to implement DSP algorithms and design methods on Arm-based microcontrollers
  • Ability to use commercial hardware and software tools to develop real time DSP application

Prerequisites

Basic C programming and Elementary mathematics

Course syllabus

Module name
1. Discrete Time Signals and Systems
2. Sampling, Reconstruction, and Aliasing - Complex Exponentials and Fourier Analysis
3. Sampling, Reconstruction, and Aliasing - Time and Frequency Domains
4. Z-Transform - Time and Frequency Domains
5. FIR Filters - Moving Average Filters
6. FIR Filters - Window Method of Design
7. IIR Filters - Impulse Invariant and Bilinear Transform Methods of Design
8. IIR Filters - Simple Design Example
9. Fast Fourier Transform - Review of Fourier Transformation
10. Fast Fourier Transform - Derivation of Radix-2 FFT
11. Adaptive Filters

The above syllabus is indicative. It might change from time to time.