01. Convolution and Deconvolution | Kanika Nema | |
02. Least Squares Matrix Inversion | Ravi Ramaseshan | |
03. Introduction to System Identification | Soam Vasani | |
04. AR, MA and ARMA System Identification | Umaima Khilawala | |
05. On the Fourier Transform | Prateek Saxena | |
06. Circular Convolution | Tanmay Dharmadhikari | |
07. Computing the Convolution | Aditya Thakur | |
08. Multirate Signal Processing | Sameer Dhavale | |
09. Practical Resampling | Amit Hadke | |
10. Filterbanks | Umaima Khilawala | |
11. Probability and Statistics | Kanika Nema | |
12. Linear Prediction | Prateek Saxena | |
13. Random Processes | Soam Vasani | |
14. The Innovations Process | Aditya Thakur | |
15. The Levinson-Durbin Algorithm | Ravi Ramaseshan | Wed 14 Apr - overdue |
16. Weiner Filtering | Sameer Dhavale | |
17. Spectrum Estimation | Amit Hadke | |
18. Eigenvector Spectrum Estimation | Umaima Khilawala | Wed 21 Apr - overdue |
19. Solving Least Squares Problems by QR | Kanika Nema |
Or, download the all-in-one lecture notes.