CmpE 530 Mathematical Foundations of Artificial Intelligence

Fall 2002 Fikret Gurgen,

Office: 204, Ph: 263 1500 Ext: 1863, gurgen@boun.edu.tr

//www.cmpe.boun.edu.tr/~gurgen

TEXT MATERIAL:

- Introduction to Applied Statistical Signal Analysis, Second Ed., Richard Shiavi, Academic Press, 1999.

The Other References:

“Digital Signal Processing”, “Probability and Statistics”, “Fuzzy Theory” and “Information Theory” text examples:

Digital Signal Processing, Rabiner et al., Proakis et al. (nice signal processing!),

Probability and Statistics, by M. DeGroot. (a good old one!),

Fuzzy Theory, by Bart Kosko (a fuzzy theory book),

RECOMMENDED TOOLS:

1) Textbooks ready programs by CD

2) MATLAB, C/C++ programming

TENTATIVE TOPICS:

1. Introduction to signal terminology and signal processing

1.1. Domain Types

1.2. Fourier Analysis and sampled-data signals

1.3. Continuous-time and Discrete-time system analysis

2. Empirical modelling and approximation

2.1. Generalized least squares

2.2. Interpolation and extrapolation

3. Fourier Analysis

3.1. Definitions

3.2. Applications

4. Probability concept and signal characteristrics

4.1. Distributions

4.2. Characteristics

5. Introduction to random processes and signal correlation

5.1. Stationarity and moment functions

5.2. Correlation and signal structure

COURSE GRADING:

Midterm % 25 Presentation+ Project + Homeworks % 40 Final % 35