| Course Name | Adaptive Signal Processing |
| Course Code | 15ECE321 |
| Program | B. Tech. in Electronics and Communication Engineering |
| Year Taught | 2019 |
Adaptive Systems – Definition and characteristics – Properties – Applications and examples of an adaptive system. Stochastic Processes and Models: Characterization – Mean ergodic theorem – Correlation matrix – Stochastic models – Power spectral density – Properties of power spectral Density – Linear transformations – Power spectral estimation.
Wiener filters – Linear optimum filtering – Minimum mean-square error – Wiener- Hopf equations – Multiple linear regression model – Steepest-descent algorithm – Linear prediction – Forward linear prediction, Levinson-Durbin algorithm. Kalman filter – Extended kalman filter
Least-Mean-Square (LMS) adaptive filters – LMS algorithm, LMS adaptation algorithm – applications. Method of Least Squares – Data windowing, Normal equations and linear least square filters, Recursive least squares algorithm.
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