Introduction to TimeSeries - Analysis: Sampling, Quantization; z-Transforms,
Fourier Series and Transforms; Random Processes, Auto-Regressive
Moving Average (ARMA) models; Auto and Cross-correlation functions, Partial Auto-Correlation Function: Theory, Estimation and Applications; Power Spectrum: Theory, Estimation and Applications; Data/Measurement: Basics and Design of filters for data cleaning and preprocessing;
Kalman filter; Applications to process data.
- Teacher:
- Teacher: arunkt Arun K Tangirala
- Teacher: Prem Jagadeesan
- Teacher: Ramachandran P
- Teacher: CH16S300 PRIYAN BHATTACHARYA
- Teacher: ch17m015 PULI VAMSI KRISHNA
- Teacher: CH14D009 SUDHAKAR KATHARI