Title:

Digital Signal Processing

Code:CZS
Ac.Year:ukončen 2004/2005
Sem:Winter
Language of Instruction:Czech
Private info:http://www.fit.vutbr.cz/study/courses/CZS/private/
Credits:6
Completion:examination (written)
Type of
instruction:
Hour/semLecturesSeminar
Exercises
Laboratory
Exercises
Computer
Exercises
Other
Hours:39001016
 ExamsTestsExercisesLaboratoriesOther
Points:402015025
Guarantor:Fučík Otto, doc. Dr. Ing. (DCSY)
Lecturer:Fučík Otto, doc. Dr. Ing. (DCSY)
Faculty:Faculty of Information Technology BUT
Department:Department of Computer Systems FIT BUT
 
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.
Description:
  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.
Learning outcomes and competencies:
  The students are able to program basic digital signal processing algorithms on DSPs using professional development tools.
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.
Syllabus - others, projects and individual work of students:
 
  • Individual sixteen-hour DSP project.
Fundamental literature:
 
  • P. Lapsley, J. Bier, A. Shoham, E. A. Lee: "DSP Processor Fundamentals : Architectures and Features, IEEE Press Series on Signal Processing, IEEE, ISBN 0780334051, 1997.
Study literature:
 
  • Lecture notes
  • Internet
Exam prerequisites:
  Duty credit consists of mid-term exam passing, submitting of 5 PC lab reports and competing the project in due dates.
 

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