Digital Signal Processing (DSP) Education Kit
The explosion of digital data in today’s world means it is crucial for students to understand and practice how to manage and process digital signals that come in from a wide variety of sources. The ARM University Program is addressing this need with the creation of our Digital Signal Processing (DSP) Education Kit. This Education Kit 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 Education Kit will allow students to practice theory with advanced hardware.
Central to the DSP Education Kit a full set of teaching materials including power point slides, lab manuals with solutions to professors, quizzes with answers and more, which can be readily used in a typical 10-12 week course. The teaching materials cover both fundamentals and practical knowledge. State-of-the-art hardware platforms are harnessed in the labs to support the course’s learning outcomes. These use the industry-standard Keil MDK-ARM tool for application development.
DSP courses have traditionally used software simulation packages, or hands-on labs using relatively expensive development kits. The prohibitive costs associated with deploying such equipment in laboratories means that many students will miss out on educational benefits of using this hardware in real-world situations. Our cost effective kit includes hardware boards donated by partners (sub $50.00), software licenses from ARM and a complete set of teaching materials—all available to professors worldwide (subject to a qualification process).
- The course aims to produce students who are capable of designing DSP systems and creating commercially-viable audio applications using high-performance and energy-efficient ARM processors
- 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
- 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
- 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
- Basics C programing
- Elementary mathematics
The course consists of a number of modules sufficient to run a typical term course on DSP with lecture notes in PPT format, homework with solutions, demonstration code, lab exercises with solution, and programming projects with solutions. As with all our courseware, the DSP Education Kit is has been created with learning outcomes in mind. The materials will inspire deep learning as well as contain modules that are fun and interactive, thereby re-enforcing theoretical principles.
The course starts with DSP basics such as discrete time signal sampling, reconstruction and aliasing, and fundamental concepts about Fourier and Z-Transform, time and frequency domains. It then presents the most commonly used filters, i.e. FIR, IIR and their design methods. Finally it introduces the Fast Fourier Transform and how it can be effectively employed in making adaptive filters for performing noise cancellations on an audio signal (e.g. the voice of an airline pilot amidst the aircraft engine noise in the background). In the lab exercises, audio signals are used for demonstrating the DSP concepts in real-time, using various examples such as generating artificial sounds, applying different filtering effects to human voice, and using noise cancellation to increase the SNR thus improve the audio quality.
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This kit is available on a variety of low cost, high performance and low power hardware platforms from the vast ARM eco-system. To access samples of our teaching materials or to make a full donation request please click on the donation request below.