Opinto-opas 2005-2006

TKT-3516 SIGNAALIPROSESSORIT, 5 cr
SIGNAL PROCESSORS

Person responsible
Prof. Jarmo Takala

Lecturers
Prof. Jarmo Takala

Lecture room and time
Per I: Monday 12 - 16, TB214

Implementation rounds
Implementation 1
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer Language of instruction
Lecture 4 h/week - - - - - In English only
Exercise - 4 h/week - - - - In Finnish and English
Assignment - 12 h/per - - - - In Finnish and English
Exam   In finnish and in english if asked
(Academic Calender 2005-2006)

Objectives
Understand the special features of DSP applications, and their effect on implementations, processor architectures and development tools. Learn the architectural features of DSP processors, such as finite word length and pipelining. Achieve understanding to follow the evolution of DSP processors and general purpose processors in signal processing tasks.

Contents
Content Core content Complementary knowledge Specialist knowledge
1. Number representations in fixed point and floating point processors.  Finite word length effects.  Multiplier architectures. 
2. Processor architectures, assembly language programming.  ALU.    
3. Memory architectures, interfacing, addressing and address computation.  Cache memories.  Parallel memories, DRAM and SRAM structures. 
4. Pipelining principles and their effect on programming.  Instruction decoding.    
5. RISC and CISC architectures, principles of parallel and sequential computing.  Data dependence, super scalar architecture, SIMD, SISD, MIMD.  Microcoded instruction decoding. 

Requirements for completing the course
Final exam and compulsory exercises.

Assessment criteria
The grade is based on the exam, exercise works, and active participation in the exercises.

  • Used assessment scale is numeric (1-5)

    • Study material
    Type Name Author ISBN URL, edition, availablitity... Exam material Language
    Book DSP Processor Fundamentals: Architectures and Features P. Lapsley, J. Bier, A. Shoham, E.A. Lee 0-7803-3405-1   Yes  English 
    Lecture slides Lecture notes       No   

    Prerequisites
    Number Name Credits M/R
    SGN-1250 Signal Processing Applications 4 Recommendable
    SGN-2016 Digital Linear Filtering I 5 Recommendable
    TKT-1110 Microprocessors 5 Mandatory
    TKT-1200 Digital Design I 4 Recommendable

    Other comments

  • Partial passing of course must be in connection with the same round of implementation.
  • The course is suitable for postgraduate studies.

    • Correspondence of content
    8404151 Signal Processors

    Course homepage

    Last modified 17.03.2005
    Modified byOlli Vainio