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MTHE 477  Data Compression and Source Coding: Theory and Algorithms  Units: 3.00  
Topics include: arithmetic coding, universal lossless coding, Lempel-Ziv and related dictionary based methods, rate-distortion theory, scalar and vector quantization, predictive and transform coding, applications to speech and image coding.
(Lec: 3, Lab: 0, Tut: 0)
Requirements: Prerequisites: MTHE 474 (MATH 474) Corequisites: Exclusions:   
Offering Term: W  
CEAB Units:    
Mathematics 0  
Natural Sciences 0  
Complementary Studies 0  
Engineering Science 21  
Engineering Design 15  
Offering Faculty: Faculty of Arts and Science  

Course Learning Outcomes:

  1. Prove rigorously the optimality of lossless and lossy source codes.
  2. Design of quantizers and evaluation of distortion.
  3. Mathematically formulate source coding problems.
  4. Use probabilistic tools to understand the effect of data compression on random sources.
  

Mathematics and Engineering, B.A.Sc. (Class of 2025)

http://queensu-ca-public.courseleaf.com/engineering-applied-sciences/academic-plans/mathematics-engineering/mathematics-engineering-basc-class-2024/
M6 students must choose 4 technical electives: a minimum of one (1) technical elective must be taken from MTHE 430/433/472/474/477; and the remaining from List I or II, at least two of which must be taken from List II, subject to the requirement that the elective selection satisfies the following two criteria: