Course detail

Digital Signal Processors

FEKT-MSPRAcad. year: 2017/2018

Definition of digital signal processor, its differences from the other microprocessors. Generations of digital signal processors and their typical features, trends of development. Basic digital signal processor architectures – the Harvard architecture, the VLIW architecture. Fixed- and floating-point number formats, IEEE-754 standard. Fixed-point digital signal processor of the TMS320C6400 series. Processor core, functional units, register set, addressing modes. Instruction set and the way it is applied. Link between programming in assembler and in the C language, intrinsic function, pragma expressions. Canonic and non-canonic structures for implementing FIR and IIR digital filters in digital signal processors, analysis of quantization noise, Mason’s rule, transfer function modification regarding fixed-point representation. Adaptive LMS algorithm and its implementation. Generation of harmonic signal and harmonic analysis, Goertzel's algorithm, structure of FFT algorithm and its types. Sum of peripherals, memory mapping, communication with external peripheries, direct memory access DMA. Real-time processing, circular buffer, double buffering.

Learning outcomes of the course unit

Students will be able to:
- explain the meaning of the parameters of microprocessors and digital signal processors, and choose a processor suitable for the application,
- explain the progress of the translation of separate C language source files including linking with other libraries,
- prepare the quantized coefficients of a digital system
- check the stability of the digital system after coefficient quantization,
- design a suitable form to implement the fixed point algorithm,
- analyze the effect of quantization in the structure and assess a suitable structure in terms of quantization,
- consider the advantages of the fast Fourier transform algorithm and Goertzel’s algorithm
- use the direct memory access (DMA) to transfer the samples in real time.


The knowledge of digital signal processing and microprocessor technology is required. Students should be able to: - describe the function of the basic blocks of the microprocessor (CPU, memory, I / O circuits, etc.) - explain the basic commands of ANSI C, - apply the basic commands of the ANSI C language and implement a simple program, - calculate in terms of numbers the different number systems (binary, hex), - explain the course of sampling the continuous signal - explain the importance of stability, - apply the Fourier transform.


Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

MITRA, S.K., KAISER, J.F.: Handbook for Digital Signal Processing. John Wiley & Sons, New York 1993. ISBN 0-471-61995 (EN)
SMÉKAL, Z., VÍCH, R.: Signal Processing on Digital Signal Processors (Zpracování signálů se signálovými procesory). Radix spol. s.r.o, Praha 1998. ISBN 80-86031-18-7 (In Czech) (CS)
SHENOI, K.:Digital Signal Processing in Telecommunications,Prentice-Hall, New Jersey, 1995, ISBN 0-13-096751-3 (EN)
HEATH, S.:Multimedia & Communications Technology,Focal Press, Oxford, 1996, ISBN 0-240-51460-2 (EN)
Smékal, Z., Sysel, P. Signálové procesory. 1. vydání. Praha: Sdělovací technika, 2006. 283 s. ISBN 80-86645-08-8 (CS)

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in article 7 of the BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

Evaluation of study results follows the Rules for Studies and Examinations of BUT and the Dean's Regulation complementing the Rules for Studies and Examinations of BUT.
Solution of seven homework assignments max. 40 marks
Written examination max. 60 marks

Language of instruction


Work placements

Not applicable.

Course curriculum

1. Generations of digital signal processors, common properties of digital signal processors, von Neumann's architecture, the Harvard architecture, parallel processing and VLIW architecture.
2. Fixed-point and floating-point representations, representations of negative numbers, properties of fixed-point digital signal processors.
3. Architecture of digital signal processors of the TMS320C6400 series by Texas Instruments, processor core, functional units, registers, specific instructions.
4. Address generation unit, modulo addressing mode.
5. Program structure and writing in assembler.
6. Program structure and writing in the C language, intrinsic functions, pragma directives, integrated development environment.
7. Program Controller, instruction pipeline.
8. Quantization effects on digital filters characteristics, limit cycles, optimization of digital filters in digital signal processors.
9. FIR and IIR digital filter implementation in digital signal processors.
10. Generation of harmonic signals and harmonic analysis, the Goertzel algorithm, implementation of the fast Fourier transform.
11. On-chip peripherals, DMA controller, interrupt controller.
12. External buses, external memory interface.
13. Floating-point digital signal processors.


The aim of the course is to introduce students to the architecture and basic properties of fixed- and floating-point digital signal processors, to describe the method of assembler programming, and to outline the connection with higher programming languages. Also covered is the implementation of algorithms of linear and adaptive digital filtering.

Specification of controlled education, way of implementation and compensation for absences

Lectures are not obligatory
Computer exercises are obligatory
Individual project is obligatory
Written examination is obligatory

Classification of course in study plans

  • Programme EEKR-M1 Master's

    branch M1-SVE , 1. year of study, winter semester, 6 credits, optional interdisciplinary

  • Programme AUDIO-P Master's

    branch P-AUD , 2. year of study, winter semester, 6 credits, optional specialized

  • Programme EEKR-M1 Master's

    branch M1-BEI , 2. year of study, winter semester, 6 credits, optional interdisciplinary
    branch M1-TIT , 2. year of study, winter semester, 6 credits, optional specialized
    branch M1-EST , 2. year of study, winter semester, 6 credits, optional specialized

  • Programme EEKR-CZV lifelong learning

    branch ET-CZV , 1. year of study, winter semester, 6 credits, optional specialized

Type of course unit



26 hours, optionally

Teacher / Lecturer

Laboratory exercise

39 hours, compulsory

Teacher / Lecturer


eLearning: opened course