Faculty of Information Technology, BUT

Course details

Digital Signal Processing

SIG Acad. year 2006/2007 Winter semester 5 credits

Introduction to the DSP theory. Analog signal digitalization. A/D a D/A converters. Digital signal processor architecture. DSP generations by different vendor. Floating and fixed point data representation. Instruction set. DSP programming. Development systems and tools. DSP algorithms programming (discrete convolution, correlation, digital filters IIR, FIR , LMS, DFT, FFT and IFFT). Voice and music processing using DSPs. Image processing using DSPs. DSP operations implementation using FPGAs. DSP-based embedded system design. Complex DSP system case study.

Guarantor

Language of instruction

Czech, English

Completion

Examination (written)

Time span

26 hrs lectures, 10 hrs pc labs, 16 hrs projects

Assessment points

50 exam, 15 half-term test, 10 exercises, 25 projects

Department

Lecturer

Instructor

Granát Jiří, Ing. (DCGM FIT BUT)

Subject specific learning outcomes and competences

The students are able to program basic digital signal processing algorithms on DSPs using professional development tools.

Learning objectives

To give the students the knowledge of basic digital signal processing algorithms, programming techniques and skills to be able to implement multimedia applications using DSP processors.

Study literature

Fundamental literature

  • Lyons, R.G.: Understanding Digital Signal Processing, Prentice Hall PTR; 2nd edition, 2004, 688 p., ISBN 0131089897.

Syllabus of lectures

  • Introduction to DSP theory. Analog signal digitalization. A/D and D/A converters.
  • Digital signal processor architecture. DSP generations by different vendor.
  • Floating and fixed point representation. Instruction set.
  • DSP programming. Development systems and tools.
  • DSP algorithms programming I. (discrete convolution, correlation).
  • DSP algorithms programming II. (digital filters IIR, FIR, and LMS).
  • DSP algorithms programming III. (DFT, FFT, and IFFT).
  • Voice processing using DSPs.
  • Music processing using DSPs.
  • Image processing using DSPs.
  • DSP operations implementation using FPGAs.
  • DSP-based embedded system design.
  • Complex DSP system case study.

Syllabus - others, projects and individual work of students

  • Individual five-hour DSP project.

Progress assessment

Written mid-term exam, submitted 4 PC lab reports and project in due dates.

Controlled instruction

Mid-term exam, 4 PC labs and project.

Exam prerequisites

Requirements for class accreditation are not defined.
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