| Name | Download | Download Size |
|---|---|---|
| Lecture Note | Download as zip file | 20M |
| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Lecture01_Part1 - Motivation and Overview 1 | Download |
| 2 | Lecture01_Part2 - Motivation and Overview 2 | Download |
| 3 | Lecture02_Part1 - Motivation and Overview 3 | Download |
| 4 | Lecture02_Part2 - Motivation and Overview 4 | Download |
| 5 | Lecture03_Part1 - Motivation and Overview 5 | Download |
| 6 | Lecture03_Part2 - Motivation and Overview 6 | Download |
| 7 | Lecture04_Part1 - Probability and Statistics Review 1A | Download |
| 8 | Lecture04_Part2 - Probability and Statistics Review 1B | Download |
| 9 | Lecture05_Part1 - Probability and Statistics Review 1C | Download |
| 10 | Lecture05_Part2 - Probability and Statistics Review 1D | Download |
| 11 | Lecture06_Part1 - Probability and Statistics Review 2A | Download |
| 12 | Lecture06_Part2 - Probability and Statistics Review 2B | Download |
| 13 | Lecture06_Part3 - Probability and Statistics Review 2C | Download |
| 14 | Lecture07_Part1 - Probability and Statistics Review 2D | Download |
| 15 | Lecture07_Part2 - Probability and Statistics Review 2E | Download |
| 16 | Lecture07_Part3 - Probability and Statistics Review 2F | Download |
| 17 | Lecture08_Part1 - Probability and Statistics Review 2G (with R Demonstration) | Download |
| 18 | Lecture08_Part2 - Probability and Statistics Review 2H (with R Demonstration) | Download |
| 19 | Lecture9_Part1 - Probability and Statistics Review 2 I | Download |
| 20 | Lecture9_Part2 - Probability and Statistics Review 2J | Download |
| 21 | Lecture9_Part3 - Introduction to Random Processes 1 | Download |
| 22 | Lecture10_Part1 - Introduction to Random Processes 2 | Download |
| 23 | Lecture10_Part2 - Introduction to Random Processes 3 | Download |
| 24 | Lecture11_Part1 - Introduction to Random Processes 4 | Download |
| 25 | Lecture11_Part2 - Introduction to Random Processes 5 | Download |
| 26 | Lecture11_Part3 - Autocovariance & Autocorrelation Functions 1 | Download |
| 27 | Lecture12_Part1 - Autocovariance & Autocorrelation Functions 2 | Download |
| 28 | Lecture12_Part2 - Autocovariance & Autocorrelation Functions 3 | Download |
| 29 | Lecture13_Part1 - Autocovariance & Autocorrelation Functions 4 | Download |
| 30 | Lecture13_Part2 - Autocovariance & Autocorrelation Functions 5 | Download |
| 31 | Lecture13_Part3 - Autocovariance & Autocorrelation Functions 6 | Download |
| 32 | Lecture14_Part1 - Autocovariance & Autocorrelation Functions 7 | Download |
| 33 | Lecture14_Part2 - Autocovariance & Autocorrelation Functions 8 | Download |
| 34 | Lecture15_Part1 - Autocovariance & Autocorrelation Functions 9 | Download |
| 35 | Lecture15_Part2 - Partial Autocorrelation Functions | Download |
| 36 | Lecture16_Part1 - Autocorrelation and Partial-autocorrelation Functions (with R Demonstration) | Download |
| 37 | Lecture16_Part2 - Models for Linear Stationary Processes 1 | Download |
| 38 | Lecture17_Part1 - Models for Linear Stationary Processes 2 | Download |
| 39 | Lecture17_Part2 - Models for Linear Stationary Processes 3 | Download |
| 40 | Lecture18_Part1 - Models for Linear Stationary Processes 4 | Download |
| 41 | Lecture18_Part2 - Models for Linear Stationary Processes 5 | Download |
| 42 | Lecture18_Part3 - Models for Linear Stationary Processes 6 | Download |
| 43 | Lecture19_Part1 - Models for Linear Stationary Processes 7 | Download |
| 44 | Lecture19_Part2 - Models for Linear Stationary Processes 8 | Download |
| 45 | Lecture19_Part3 - Models for Linear Stationary Processes 9 | Download |
| 46 | Lecture20_Part1 - Models for Linear Stationary Processes 10 | Download |
| 47 | Lecture20_Part2 - Models for Linear Stationary Processes 11 | Download |
| 48 | Lecture21_Part1 - Models for Linear Stationary Processes 12 | Download |
| 49 | Lecture21_Part2 - Models for Linear Stationary Processes 13 | Download |
| 50 | Lecture22_Part1 - Models for Linear Stationary Processes 14 (with R Demonstrations) | Download |
| 51 | Lecture22_Part2 - Models for Linear Stationary Processes 15 (with R Demonstrations) | Download |
| 52 | Lecture22_Part3 - Models for Linear Stationary Processes 16 (with R Demonstrations) | Download |
| 53 | Lecture23_Part1 - Models for Linear Non-stationary Processes 1 | Download |
| 54 | Lecture23_Part2 - Models for Linear Non-stationary Processes 2 (with R Demonstrations) | Download |
| 55 | Lecture24_Part1 - Models for Linear Non-stationary Processes 3 (with R Demonstrations) | Download |
| 56 | Lecture24_Part2 - Models for Linear Non-stationary Processes 4 | Download |
| 57 | Lecture25_Part1 - Models for Linear Non-stationary Processes 5 | Download |
| 58 | Lecture25_Part2 - Models for Linear Non-stationary Processes 6 (with R Demonstrations) | Download |
| 59 | Lecture26_Part1 - Fourier Transforms for Deterministic Signals 1 | Download |
| 60 | Lecture26_Part2 - Fourier Transforms for Deterministic Signals 2 | Download |
| 61 | Lecture27_Part1 - Fourier Transforms for Deterministic Signals 3 | Download |
| 62 | Lecture27_Part2 - Fourier Transforms for Deterministic Signals 4 | Download |
| 63 | Lecture28_Part1 - Fourier Transforms for Deterministic Signals 5 | Download |
| 64 | Lecture28_Part2 - Fourier Transforms for Deterministic Signals 6 | Download |
| 65 | Lecture29_Part1 - Fourier Transforms for Deterministic Signals 7 | Download |
| 66 | Lecture29_Part2 - Fourier Transforms for Deterministic Signals 8 | Download |
| 67 | Lecture30_Part1 - Fourier Transforms for Deterministic Signals 9 | Download |
| 68 | Lecture30_Part2 - DFT and Periodogram 1 | Download |
| 69 | Lecture31_Part1 - DFT and Periodogram 2 | Download |
| 70 | Lecture31_Part2 - DFT and Periodogram 3 (with R Demonstrations) | Download |
| 71 | Lecture32_Part1 - Spectral Representations of Random Processes 1 | Download |
| 72 | Lecture32_Part2 - Spectral Representations of Random Processes 2 | Download |
| 73 | Lecture33_Part1 - Spectral Representations of Random Processes 3 | Download |
| 74 | Lecture33_Part2 - Spectral Representations of Random Processes 4 | Download |
| 75 | Lecture33_Part3 - Spectral Representations of Random Processes 5 | Download |
| 76 | Lecture34_Part1 - Spectral Representations of Random Processes 6 | Download |
| 77 | Lecture34_Part2 - Spectral Representations of Random Processes 7 | Download |
| 78 | Lecture35_Part1 - Introduction to Estimation Theory 1 | Download |
| 79 | Lecture35_Part2 - Introduction to Estimation Theory 2 | Download |
| 80 | Lecture35_Part3 - Introduction to Estimation Theory 3 | Download |
| 81 | Lecture 36A - Introduction to Estimation Theory -4 | Download |
| 82 | Lecture 36B - Goodness of Estimators 1 -1 | Download |
| 83 | Lecture 37A - Goodness of Estimators 1 -2 | Download |
| 84 | Lecture 37B - Goodness of Estimators 1 -3 | Download |
| 85 | Lecture 37C - Goodness of Estimators 1 -4 | Download |
| 86 | Lecture 38A - Goodness of Estimators 2 -1 | Download |
| 87 | Lecture 38B - Goodness of Estimators 2 -2 | Download |
| 88 | Lecture 38C - Goodness of Estimators 2 -3 | Download |
| 89 | Lecture 39A - Goodness of Estimators 2 -4 | Download |
| 90 | Lecture 39B - Goodness of Estimators 2 -5 (with R demonstrations) | Download |
| 91 | Lecture 39C - Goodness of Estimators 2 -6 | Download |
| 92 | Lecture 40A - Goodness of Estimators 2 -7 | Download |
| 93 | Lecture 40B - Goodness of Estimators 2 -8 | Download |
| 94 | Lecture 41A - Estimation Methods 1 -1 | Download |
| 95 | Lecture 41B - Estimation Methods 1 -2 | Download |
| 96 | Lecture 42A - Estimation Methods 1 -3 | Download |
| 97 | Lecture 42B - Estimation Methods 1 -4 | Download |
| 98 | Lecture 42C - Estimation Methods 1 -5 | Download |
| 99 | Lecture 43A - Estimation Methods 1 -6 (with R demonstrations) | Download |
| 100 | Lecture 43B - Estimation Methods 1 -7(with R demonstrations) | Download |
| 101 | Lecture 44A - Estimation Methods 1 -8 | Download |
| 102 | Lecture 44B - Estimation Methods 1 -9 | Download |
| 103 | Lecture 44C - Estimation Methods 2 -1 | Download |
| 104 | Lecture 45A - Estimation Methods 2 -2 | Download |
| 105 | Lecture 45B - Estimation Methods 2 -3 | Download |
| 106 | Lecture 46A - MLE and Bayesian Estimation -1 | Download |
| 107 | Lecture 46B - MLE and Bayesian Estimation -2 | Download |
| 108 | Lecture 47A - MLE and Bayesian Estimation -3 | Download |
| 109 | Lecture 47B - MLE and Bayesian Estimation -4 | Download |
| 110 | Lecture 48A - Estimation of Time Domain Statistics -1 | Download |
| 111 | Lecture 48B - Estimation of Time Domain Statistics -2 | Download |
| 112 | Lecture 49 - Periodogram as PSD Estimator | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Lecture01_Part1 - Motivation and Overview 1 | Download Verified |
| 2 | Lecture01_Part2 - Motivation and Overview 2 | Download Verified |
| 3 | Lecture02_Part1 - Motivation and Overview 3 | Download Verified |
| 4 | Lecture02_Part2 - Motivation and Overview 4 | Download Verified |
| 5 | Lecture03_Part1 - Motivation and Overview 5 | Download Verified |
| 6 | Lecture03_Part2 - Motivation and Overview 6 | Download Verified |
| 7 | Lecture04_Part1 - Probability and Statistics Review 1A | Download Verified |
| 8 | Lecture04_Part2 - Probability and Statistics Review 1B | Download Verified |
| 9 | Lecture05_Part1 - Probability and Statistics Review 1C | Download Verified |
| 10 | Lecture05_Part2 - Probability and Statistics Review 1D | Download Verified |
| 11 | Lecture06_Part1 - Probability and Statistics Review 2A | Download Verified |
| 12 | Lecture06_Part2 - Probability and Statistics Review 2B | Download Verified |
| 13 | Lecture06_Part3 - Probability and Statistics Review 2C | Download Verified |
| 14 | Lecture07_Part1 - Probability and Statistics Review 2D | Download Verified |
| 15 | Lecture07_Part2 - Probability and Statistics Review 2E | Download Verified |
| 16 | Lecture07_Part3 - Probability and Statistics Review 2F | Download Verified |
| 17 | Lecture08_Part1 - Probability and Statistics Review 2G (with R Demonstration) | Download Verified |
| 18 | Lecture08_Part2 - Probability and Statistics Review 2H (with R Demonstration) | Download Verified |
| 19 | Lecture9_Part1 - Probability and Statistics Review 2 I | Download Verified |
| 20 | Lecture9_Part2 - Probability and Statistics Review 2J | Download Verified |
| 21 | Lecture9_Part3 - Introduction to Random Processes 1 | Download Verified |
| 22 | Lecture10_Part1 - Introduction to Random Processes 2 | Download Verified |
| 23 | Lecture10_Part2 - Introduction to Random Processes 3 | Download Verified |
| 24 | Lecture11_Part1 - Introduction to Random Processes 4 | Download Verified |
| 25 | Lecture11_Part2 - Introduction to Random Processes 5 | Download Verified |
| 26 | Lecture11_Part3 - Autocovariance & Autocorrelation Functions 1 | Download Verified |
| 27 | Lecture12_Part1 - Autocovariance & Autocorrelation Functions 2 | Download Verified |
| 28 | Lecture12_Part2 - Autocovariance & Autocorrelation Functions 3 | Download Verified |
| 29 | Lecture13_Part1 - Autocovariance & Autocorrelation Functions 4 | Download Verified |
| 30 | Lecture13_Part2 - Autocovariance & Autocorrelation Functions 5 | Download Verified |
| 31 | Lecture13_Part3 - Autocovariance & Autocorrelation Functions 6 | Download Verified |
| 32 | Lecture14_Part1 - Autocovariance & Autocorrelation Functions 7 | Download Verified |
| 33 | Lecture14_Part2 - Autocovariance & Autocorrelation Functions 8 | Download Verified |
| 34 | Lecture15_Part1 - Autocovariance & Autocorrelation Functions 9 | Download Verified |
| 35 | Lecture15_Part2 - Partial Autocorrelation Functions | Download Verified |
| 36 | Lecture16_Part1 - Autocorrelation and Partial-autocorrelation Functions (with R Demonstration) | Download Verified |
| 37 | Lecture16_Part2 - Models for Linear Stationary Processes 1 | Download Verified |
| 38 | Lecture17_Part1 - Models for Linear Stationary Processes 2 | Download Verified |
| 39 | Lecture17_Part2 - Models for Linear Stationary Processes 3 | Download Verified |
| 40 | Lecture18_Part1 - Models for Linear Stationary Processes 4 | Download Verified |
| 41 | Lecture18_Part2 - Models for Linear Stationary Processes 5 | Download Verified |
| 42 | Lecture18_Part3 - Models for Linear Stationary Processes 6 | Download Verified |
| 43 | Lecture19_Part1 - Models for Linear Stationary Processes 7 | Download Verified |
| 44 | Lecture19_Part2 - Models for Linear Stationary Processes 8 | Download Verified |
| 45 | Lecture19_Part3 - Models for Linear Stationary Processes 9 | Download Verified |
| 46 | Lecture20_Part1 - Models for Linear Stationary Processes 10 | Download Verified |
| 47 | Lecture20_Part2 - Models for Linear Stationary Processes 11 | Download Verified |
| 48 | Lecture21_Part1 - Models for Linear Stationary Processes 12 | Download Verified |
| 49 | Lecture21_Part2 - Models for Linear Stationary Processes 13 | Download Verified |
| 50 | Lecture22_Part1 - Models for Linear Stationary Processes 14 (with R Demonstrations) | Download Verified |
| 51 | Lecture22_Part2 - Models for Linear Stationary Processes 15 (with R Demonstrations) | Download Verified |
| 52 | Lecture22_Part3 - Models for Linear Stationary Processes 16 (with R Demonstrations) | Download Verified |
| 53 | Lecture23_Part1 - Models for Linear Non-stationary Processes 1 | Download Verified |
| 54 | Lecture23_Part2 - Models for Linear Non-stationary Processes 2 (with R Demonstrations) | Download Verified |
| 55 | Lecture24_Part1 - Models for Linear Non-stationary Processes 3 (with R Demonstrations) | Download Verified |
| 56 | Lecture24_Part2 - Models for Linear Non-stationary Processes 4 | Download Verified |
| 57 | Lecture25_Part1 - Models for Linear Non-stationary Processes 5 | Download Verified |
| 58 | Lecture25_Part2 - Models for Linear Non-stationary Processes 6 (with R Demonstrations) | Download Verified |
| 59 | Lecture26_Part1 - Fourier Transforms for Deterministic Signals 1 | Download Verified |
| 60 | Lecture26_Part2 - Fourier Transforms for Deterministic Signals 2 | Download Verified |
| 61 | Lecture27_Part1 - Fourier Transforms for Deterministic Signals 3 | Download Verified |
| 62 | Lecture27_Part2 - Fourier Transforms for Deterministic Signals 4 | Download Verified |
| 63 | Lecture28_Part1 - Fourier Transforms for Deterministic Signals 5 | Download Verified |
| 64 | Lecture28_Part2 - Fourier Transforms for Deterministic Signals 6 | Download Verified |
| 65 | Lecture29_Part1 - Fourier Transforms for Deterministic Signals 7 | Download Verified |
| 66 | Lecture29_Part2 - Fourier Transforms for Deterministic Signals 8 | Download Verified |
| 67 | Lecture30_Part1 - Fourier Transforms for Deterministic Signals 9 | Download Verified |
| 68 | Lecture30_Part2 - DFT and Periodogram 1 | Download Verified |
| 69 | Lecture31_Part1 - DFT and Periodogram 2 | Download Verified |
| 70 | Lecture31_Part2 - DFT and Periodogram 3 (with R Demonstrations) | Download Verified |
| 71 | Lecture32_Part1 - Spectral Representations of Random Processes 1 | Download Verified |
| 72 | Lecture32_Part2 - Spectral Representations of Random Processes 2 | Download Verified |
| 73 | Lecture33_Part1 - Spectral Representations of Random Processes 3 | Download Verified |
| 74 | Lecture33_Part2 - Spectral Representations of Random Processes 4 | Download Verified |
| 75 | Lecture33_Part3 - Spectral Representations of Random Processes 5 | Download Verified |
| 76 | Lecture34_Part1 - Spectral Representations of Random Processes 6 | Download Verified |
| 77 | Lecture34_Part2 - Spectral Representations of Random Processes 7 | Download Verified |
| 78 | Lecture35_Part1 - Introduction to Estimation Theory 1 | Download Verified |
| 79 | Lecture35_Part2 - Introduction to Estimation Theory 2 | Download Verified |
| 80 | Lecture35_Part3 - Introduction to Estimation Theory 3 | Download Verified |
| 81 | Lecture 36A - Introduction to Estimation Theory -4 | Download Verified |
| 82 | Lecture 36B - Goodness of Estimators 1 -1 | Download Verified |
| 83 | Lecture 37A - Goodness of Estimators 1 -2 | Download Verified |
| 84 | Lecture 37B - Goodness of Estimators 1 -3 | Download Verified |
| 85 | Lecture 37C - Goodness of Estimators 1 -4 | Download Verified |
| 86 | Lecture 38A - Goodness of Estimators 2 -1 | Download Verified |
| 87 | Lecture 38B - Goodness of Estimators 2 -2 | Download Verified |
| 88 | Lecture 38C - Goodness of Estimators 2 -3 | Download Verified |
| 89 | Lecture 39A - Goodness of Estimators 2 -4 | Download Verified |
| 90 | Lecture 39B - Goodness of Estimators 2 -5 (with R demonstrations) | Download Verified |
| 91 | Lecture 39C - Goodness of Estimators 2 -6 | Download Verified |
| 92 | Lecture 40A - Goodness of Estimators 2 -7 | Download Verified |
| 93 | Lecture 40B - Goodness of Estimators 2 -8 | Download Verified |
| 94 | Lecture 41A - Estimation Methods 1 -1 | Download Verified |
| 95 | Lecture 41B - Estimation Methods 1 -2 | Download Verified |
| 96 | Lecture 42A - Estimation Methods 1 -3 | Download Verified |
| 97 | Lecture 42B - Estimation Methods 1 -4 | Download Verified |
| 98 | Lecture 42C - Estimation Methods 1 -5 | Download Verified |
| 99 | Lecture 43A - Estimation Methods 1 -6 (with R demonstrations) | Download Verified |
| 100 | Lecture 43B - Estimation Methods 1 -7(with R demonstrations) | Download Verified |
| 101 | Lecture 44A - Estimation Methods 1 -8 | Download Verified |
| 102 | Lecture 44B - Estimation Methods 1 -9 | Download Verified |
| 103 | Lecture 44C - Estimation Methods 2 -1 | Download Verified |
| 104 | Lecture 45A - Estimation Methods 2 -2 | Download Verified |
| 105 | Lecture 45B - Estimation Methods 2 -3 | Download Verified |
| 106 | Lecture 46A - MLE and Bayesian Estimation -1 | Download Verified |
| 107 | Lecture 46B - MLE and Bayesian Estimation -2 | Download Verified |
| 108 | Lecture 47A - MLE and Bayesian Estimation -3 | Download Verified |
| 109 | Lecture 47B - MLE and Bayesian Estimation -4 | Download Verified |
| 110 | Lecture 48A - Estimation of Time Domain Statistics -1 | Download Verified |
| 111 | Lecture 48B - Estimation of Time Domain Statistics -2 | Download Verified |
| 112 | Lecture 49 - Periodogram as PSD Estimator | Download Verified |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Download |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |