Postgraduate Course: Advanced Concepts in Signal Processing (PGEE11020)
Course Outline
School | School of Engineering |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
SCQF Credits | 10 |
ECTS Credits | 5 |
Summary | This course aims to introduce techniques for performing machine learning pattern recognition, classification and adaption in the analysis of complex signals and data sets.
Introduction to Machine Learning, Pattern Recognition, Detection, Classification, Modelling, Statistical Inference, Cluster Analysis, Neural Networks, Latent Variable Models, Independent Component Analysis, Hidden Markov Models, Applications to Speech, Audio and Image Data
|
Course description |
Concepts covered: Classification and recognition; Statistical inference and learning; Clustering; Feature selection and data reduction (e.g. PCA, ICA); Blind signal separation
|
Information for Visiting Students
Pre-requisites | None |
High Demand Course? |
Yes |
Course Delivery Information
Not being delivered |
Learning Outcomes
Students will acquire an understanding of pattern recognition and machine learning and will learn how to apply these methods to the processing of a broad class of signals. By the end of the module the student will be able to: Recall a range of techniques and algorithms for pattern recognition and intelligent processing of signals and data, including neural networks and statistical methods. Derive and analyse properties of these methods. Discuss the relative merits of different techniques and approaches. Implement some of these techniques in software (e.g. Matlab). Apply these methods to the analysis of signals and data.
|
Reading List
Duda, Hart and Stork, Pattern Classification.
Theodoridis and Koutroumbas, Pattern Recognition.
|
Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | pattern recognition,neuronal networks,hidden Markov models,machine learning,detection,classification |
Contacts
Course organiser | Prof Sotirios Tsaftaris
Tel: (0131 6)50 5796
Email: |
Course secretary | Mrs Megan Inch-Kellingray
Tel: (0131 6)51 7079
Email: |
|
|