Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 1 August 26, 2008
Fall 2008
Syllabus Instructor: J. Rockey Luo, B118, Engr Bld., (970) 491-7411, [email protected]
Office Hours: Tuesday Thursday afternoon, or by appointme
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 16 October 23, 2008 Recap:
7.13 Joint Source-channel Coding Theorem
Fall 2008
1. H < C is sufficient and necessary for reliable information transmission. 2. We do not lose anything
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 17 October 28, 2008 Recap:
Fall 2008
1 (n ) For R Rcrit , it can be shown that lim log Pe E r (R ) . Therefore, E r (R ) is n n the maximum achievable error exponent for R Rcrit .
MONITORING AND EVALUATION AS A TOOL FOR ENHANCING MANAGEMENT OF
INFORMATION CENTRES
BY
BRANDON MUTISYA
MARCH 2016
Table of Contents
1.0 Introduction.4
2.0 Definition of terms.4
2.2 Information Explosion.5
2.3 Information Management.5
2.3 Monitoring.5
2.4
STRATEGIES FOR THE EMBEDMENT OF ICT IN MONITORING AND EVALUATION
OF INFORMATION CENTRES
BY
BRANDON MUTISYA
JUNE 2016
Table of Contents
Table of Contents.2
1.0
Introduction.3
2.0
Definition of Terms.3
2.1 Evaluation.4
2.2 Information Communication and Tech
Human Computer Interaction System Evaluation
Information retrieval systems should be evaluated for usability before they are implemented. The
user interface needs to be assessed on how it performs ordinary user tasks to test if it meets the
anticipated pe
Human Computer Interaction System design principles
While engaging in HCI system design, it is of paramount importance for the software engineer to put
into consideration the users ability to interact with the system. The following principles of a good
in
JUSTIFICATION FOR THE USE OF CODE OF RULES IN INFORMATION
ORGANIZATION
BY
BRANDON MUTISYA
MARCH 2015
TABLE OF CONTENTS
1.0 Introduction.3
2.0 Definition of Terms Used.3
2.1 Bibliographic Control.4
2.2 Bibliographic record.4
2.3 Catalogue.4
2.4 Cataloguing
Human Computer Interaction Factors Considered in Engineering a User-Centered Retrieval System
According to the definition provided by Baecker, et al(2009), human-computer interaction is a
discipline concerned with the design, evaluation and implementation
Human Computer Interaction and Users with Special Needs
Users with special needs have very many challenges, these include bit not limited to mobility
impairment, vision impairment, speech impairment, hearing impairment and cognitive impairment.
There is n
Determinants of an Effective Information Retrieval System
Computer applications grow increasingly complex and the design of effective and efficient humancomputer interfaces become ever more critical to overall access system performance Jamilah,
(2004). An
A DISCUSSION OF THE CHARACTERISTICS THAT MAKE ALL SYSTEMS SIMILAR
BY
BRANDON MUTISYA
NOVEMBER 2015
1.0 Introduction
The aggregation structure of most systems is potentially quite large consisting of sub-systems
containing subsystems down to multiple layer
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 15 October 21, 2008 Recap:
7.6 Joint Typical Sequences
Fall 2008
p ( x, y ) is the set of x n , y n whose empirical entropies are -close to the true entropies.
Definition: The set
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 14 October 14, 2008 Recap:
Fall 2008
Definition: A discrete memoryless channel is denoted by (X , p (Y | X ), Y ) , where X and Y are finite sets, p ( y | x ) for all x X and y Y ,
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 13 October 9, 2008 Recap:
Channel capacity 7.2 Symmetric channels Given p (Y | X ) which is a matrix
p ( y1 | x1 ) p ( y j | x1 ) p (Y | X ) = p ( y1 | xi ) p ( y j | xi )
Fall 2
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 2 August 28, 2008
Fall 2008
Recap No class on Sep. 4 and Oct. 16.
0
Non-technical Remarks
Key objective: learning about how to formulate a research problem. Follow Shannons soul, b
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 3 September 2, 2008 Recap:
2.2 Joint Entropy and Conditional Entropy Definition:
Fall 2008
H ( X , Y ) = p( x, y ) log
xX y Y
1 1 = E log p ( x, y ) p( X , Y )
Definition: The co
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 4 September 9, 2008 Recap:
2.6 Convexity, Jensens Inequality
Fall 2008
Definition: f (x ) is convex over (a, b ) if for every x1 , x 2 (a, b ) , 0 1
f (x1 + (1 )x 2 ) f ( x1 ) + (1
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 5 September 11, 2008 Recap:
Fall 2008
Theorem: D( p | q ) is convex in the pair ( p, q ) . That is, if ( p1 , q1 ) and ( p 2 , q 2 ) are two pairs of PMFs, then
D (p1 + (1 ) p 2 |
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 6 September 16, 2008 Recap:
Fall 2008
Theorem: (data processing inequality) If X Y Z , then I ( X ; Y ) I ( X ; Z ) Corollary: In particular, if Z = g (Y ) , then Corollary: If X Y
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 7 September 18, 2008 Recap:
3 The Asymptotic Equipartition Property (Chapter 3)
Markov Inequality: For a nonnegative r.v., X and a constant c > 0
Fall 2008
P[x c ]
E [X ] c
Chebys
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 8 September 23, 2008 Recap:
Fall 2008
Theorem: Let X 1 ,L, X n be iid with p ( x ) and H ( X ) . Let > 0 . Then, there exists a code which maps sequences (x1 , L , x n ) of length
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 9 September 25, 2008 Recap:
Fall 2008
Write p(0 ) = i e i , where cfw_e i are the set of linear independent eigenvectors, e i
i =1
X
corresponding to eigenvalue i . Assume 1 = 1 >
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 10 September 30, 2008 Recap:
Fall 2008
Theorem: (Extended Kraft Inequality) For any countable infinite set of codewords that form a prefix code, codeword lengths l1 , l 2 , L satis
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 11 October 2, 2008 Recap:
Fall 2008
Theorem: (McMillan) The codeword lengths of any uniquely decodable code must satisfy the Kraft inequality
D
i
li
1
Conversely, given a set of l
Colorado State University, Ft. Collins ECE 516: Information Theory Lecture 12 October 7, 2008 Recap:
6 Universal Source Coding (Chapter 13)
Arithmetic Coding Lempel-Ziv Coding
Fall 2008
7
Channel Capacity (Chapter 7)
user A X p(X) Channel p(Y|X) user B Y
A DISCUSSION OF THE CHALLENGES AFFECTING IMPLEMENTATION OF
AUTOMATED DATA CAPTURE SYSTEMS
BY
BRANDON MUTISYA
APRIL 2016
Application Software
Computer software that allows the user to process data or perform calculations necessary to
achieve a desired resu