Course detail

Digital Signal Processors

FEKT-MSPRAcad. year: 2012/2013

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 – harvard architecture, VLIW architecture. Fixed- and floating-point number formats, IEEE-754 standard. Fixed-point digital signal processors series 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, intrinsics function, pragma expressions. Canonic and non-canonic structures for implementing FIR and IIR digital filters in digital signal processors, analysis of quantization noise, Mason 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.

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

doc. Ing. Petr Sysel, Ph.D.

Department

Department of Telecommunications (UTKO)

Learning outcomes of the course unit

The student will be able to design and adapt algorithms of digital signal processing for implementation on digital signal processor. He will be familiar with basic architectures of digital signal processors, their properties, and their employment in practical applications.

Prerequisites

The subject knowledge on the digital signal processing and the microprocessor technology is requested.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

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

Assesment methods and criteria linked to learning outcomes

Solution of the given project 20 points
Test 10 points
Check exercises 10 points
Written examination 60 points

Course curriculum

1. Generations of digital signal processors, common properties of digital signal processors, von Neumann's architecture, 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 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 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 filters implementation in digital signal processors.
10. Generation of harmonic signals and harmonic analysis, Goertzel algorithm, implementation of fast Fourier transform.
11. On-chip peripherials, DMA controller, interrupt controller.
12. External buses, external memory interface.
13. Floating-point digital signal processors.

Work placements

Not applicable.

Aims

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 conection 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 duly
Computer exercise are duly
Self-dependent project is duly
Written examamination is duly

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Smékal, Z., Sysel, P. Signálové procesory. 1. vydání. Praha: Sdělovací technika, 2006. 283 s. ISBN 80-86645-08-8 (CS)
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)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EEKR-M Master's

    branch M-SVE , 1 year of study, winter semester, elective interdisciplinary
    branch M-TIT , 2 year of study, winter semester, elective specialised
    branch M-BEI , 2 year of study, winter semester, elective interdisciplinary
    branch M-EST , 2 year of study, winter semester, elective specialised

  • Programme EEKR-M Master's

    branch M-TIT , 2 year of study, winter semester, elective specialised
    branch M-SVE , 1 year of study, winter semester, elective interdisciplinary
    branch M-BEI , 2 year of study, winter semester, elective interdisciplinary
    branch M-EST , 2 year of study, winter semester, elective specialised

  • Programme EEKR-CZV lifelong learning

    branch EE-FLE , 1 year of study, winter semester, elective specialised

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

doc. Ing. Petr Sysel, Ph.D.

Syllabus

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

Laboratory exercise

39 hod., compulsory

Teacher / Lecturer

doc. Ing. Petr Sysel, Ph.D.

Syllabus

1. CodeWarrior Development Studio, basic assembler directives.
2. Fixed-point arithmetic, multiplication, saturation, rounding.
3. Core of 56F8367 digital signal processor, examples of using core registers. Implementation of polynomial functions.
4. Address generation unit, implementation of lookup table functions.
5. Indirect addressing, linear and circular addressing.
6. Hardware cycles DO, implementation of FIR digital filters.
7. Implementation of IIR digital filters.
8. Bitwise reversed addressing, implementation of FFT algorithm.
9. Program control unit, implementation of interrupt services.
10. On-chip peripherals, implementation of serial communications.
11. Timer, counter, examples of usage.
12. Implementation of communication between DSP and A/D and D/A converters.
13. Classification of individual projects.