SylabUZ
| Course name | Digital signal processors and microcontrollers |
| Course ID | 06.5-WE-AutP-DSPandM-Er |
| Faculty | Faculty of Computer Science, Electrical Engineering and Automatics |
| Field of study | WIEiA - oferta ERASMUS / Automatic Control and Robotics |
| Education profile | - |
| Level of studies | First-cycle Erasmus programme |
| Beginning semester | winter term 2018/2019 |
| Semester | 5 |
| ECTS credits to win | 3 |
| Course type | optional |
| Teaching language | english |
| Author of syllabus |
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| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Lecture | 15 | 1 | - | - | Credit with grade |
| Laboratory | 30 | 2 | - | - | Credit with grade |
Basic knowledge of: programming digital signal processors (DSP) and microcontrollers; implementation of digital signal processing methods and digital control algorithms using DSPs and microcontrollers.
Computer architecture, Foundations of digital and microprocessor engineering
History, trends and comparison of digital signal controllers. Basic features of signal controllers. Differences between a DSP and microcontroller and microprocessor.
DSP architecture. Hardware multiplier, Harvard architecture, multibus architecture, pipeline, delayed braches, parallel operations, long accumulator, barrel shifter, circular buffer. Memory addressing modes: direct, indirect, immediate, circular, with bit reversion. Direct memory access systems (DMA). Multiprocessor systems.
Data types used in floating point and fixed point microprocessors. Fixed point and floating point arithmetics.
Fixed-point DSPs. Characteristics of DSP families: ADSP-21x and TMS320C2xx.
DSPs type VLIW (Very Long Instruction Word). Characteristics of DSPs - TMS320C6x.
Floating-point DSPs. Characteristics of floating-point families: ADSP-210xx and TMS320C67xx.
Instruction sets of DSPs - comparison. DSP programming tools. DSP programming with the application of C language. Programming environments: VisualDSP and Code Composer.
Implementation of basic structures of digital signal processing circuits using DSPs. Digital filters FIR and IIR, filter banks, DFT, interpolation and decimation, signal generators. Application of DSPs in video and audio signal processing.
DSP application in control systems. Specialized DSPs for power electronics control circuits: TMS320F24x, TMS320F28x, ADSP2199x.
Lecture: conventional lecture.
Laboratory: laboratory exercises.
| Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture: the main condition to get a pass are sufficient marks in written tests.
Laboratory: a condition of pass is to obtain positive grades from all laboratory exercises that are expected to be performed within the laboratory program.
Composition of the final grade: lecture: 60% + laboratory: 40%
1. Martin K., Digital Integrated Circuit Design (Oxford Series in Electrical and Computer Engineering), Oxford University Press, 1999.
2. Embree P.M., Kimble B., C Language Algorithms for Digital Signal Processing, Prentice Hall, 1991..
3. Sen M. Kuo and Woon-Seng S. Gan, Digital Signal Processors: Architectures, Implementations, and Applications, Prentice Hall, 2004.
4. Stallings W., Computer Organization and Architecture, Prentice Hall Inc., 2012.
5. Baer J., Microprocessor Architecture: From Simple Pipelines to Chip Multiprocessors, Cambridge University Press, 2009.
6. McFarland G., Microprocessor Design (Professional Engineering), McGraw-Hill Professional, 2006.
7. Chassaing R., Reay D., Digital signal processing and applications with the C6713 and C6416 DSK, A John Wiley & Sons, Inc., 2008.
1. Chassaing R., Digital Signal Processing with C and the TMS320C30, John Wiley & Sons, 1992.
Modified by dr hab. inż. Wojciech Paszke, prof. UZ (last modification: 29-04-2020 08:06)
