Course details

Digital Signal Processing

CZS Acad. year 2004/2005 Winter semester 6 credits

Current academic year

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

Fučík Otto, doc. Dr. Ing. (DCSY)

Language of instruction

Czech

Completion

Examination

Time span

  • 39 hrs lectures
  • 10 hrs pc labs
  • 16 hrs projects

Department

Department of Computer Systems (UPSY)

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 and programming skills to be able to implement multimedia applications using DSP processors.

Prerequisite knowledge and skills

There are no prerequisites

Study literature

  • Přednáškové materiály v elektronické formě.

Fundamental literature

  • Lyons, R.G.: Understanding Digital Signal Processing,
    Prentice Hall PTR; 2. vydání, 2004, 688 s., 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 of computer exercises

  • Evaluation boards. Development systems and tools. DSP programming.
  • Basic DSP algorithms implementation I.
  • Basic DSP algorithms implementation II.
  • Basic DSP algorithms implementation III.
  • A representative DSP application programming.

Progress assessment

Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.

Duty credit consists of mid-term exam passing, submitting of 5 PC lab reports and competing the project in due dates.

Controlled instruction

There are no checked study.

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