Hands-On Time-Series Analysis with Matlab

"Time-series are probably the most prevalent form of data storage and representation in most scientific fields. Examples include industrial or environmental measurements, medical monitoring, stock market analysis, etc. However, in order to efficiently search and explore the ever-increasing amount of collected data, one needs to deploy intelligent techniques for data compression/representation, data organization/pruning and similarity characterization. This tutorial will provide a unified, geometric view of data representation techniques. Furthermore, it will demonstrate how the above tasks can be performed within the environment of the Matlab programming language and software tool, which is easily accessible in many academic institutions.
The tutorial consists of three parts. The first part covers the basics of the Matlab programming language and environment. The second parts provides the basic mathematical tools for time-series representation and analysis. The third part demonstrates how to use Matlab in order to accomplish various time-series analysis and matching techniques, covering a variety of rudimentary and advanced methods. "