Modules / Lectures
Module NameDownloadDescriptionDownload Size
Week 1- Basics of Estimation, Maximum Likelihood (ML)Alternative_Proof_ReliabilityAlternative_Proof_Reliability - Additional Notes160 kb
Week 1- Basics of Estimation, Maximum Likelihood (ML)Lecture 5Lecture 5 - Lecture Notes184 kb
Week 1- Basics of Estimation, Maximum Likelihood (ML)Lecture 4Lecture 4 - Lecture Notes202 kb
Week 1- Basics of Estimation, Maximum Likelihood (ML)Lecture 3Lecture 3 - Lecture Notes185 kb
Week 1- Basics of Estimation, Maximum Likelihood (ML)Lecture 2Lecture 2 - Lecture Notes223 kb
Week 1- Basics of Estimation, Maximum Likelihood (ML)Lecture 1Lecture 1 - Lecture Notes127 kb
Week-2 Vector EstimationLecture 10Lecture 10 - Lecture Notes177 kb
Week-2 Vector EstimationLecture 9Lecture 9 - Lecture Notes253 kb
Week-2 Vector EstimationLecture 8Lecture 8 - Lecture Notes188 kb
Week-2 Vector EstimationLecture 7Lecture 7 - Lecture Notes180 kb
Week-2 Vector EstimationLecture 6Lecture 6 - Lecture Notes244 kb
Week 3- Cramer-Rao Bound (CRB), Vector Parameter Estimation, Multi-Antenna Downlink Mobile Channel ELecture 15Lecture 15 - Lecture Notes111 kb
Week 3- Cramer-Rao Bound (CRB), Vector Parameter Estimation, Multi-Antenna Downlink Mobile Channel ELecture 14Lecture 14 - Lecture Notes190 kb
Week 3- Cramer-Rao Bound (CRB), Vector Parameter Estimation, Multi-Antenna Downlink Mobile Channel ELecture 13Lecture 13 - Lecture Notes198 kb
Week 3- Cramer-Rao Bound (CRB), Vector Parameter Estimation, Multi-Antenna Downlink Mobile Channel ELecture 12Lecture 12 - Lecture Notes172 kb
Week 3- Cramer-Rao Bound (CRB), Vector Parameter Estimation, Multi-Antenna Downlink Mobile Channel ELecture 11Lecture 11 - Lecture Notes224 kb
Week 4-Least Squares (LS) Principle, Pseudo-Inverse, Properties of LS Estimate, Examples - Mullti-AnLecture 20Lecture 20 - Lecture Notes221 kb
Week 4-Least Squares (LS) Principle, Pseudo-Inverse, Properties of LS Estimate, Examples - Mullti-AnLecture 19Lecture 19 - Lecture Notes246 kb
Week 4-Least Squares (LS) Principle, Pseudo-Inverse, Properties of LS Estimate, Examples - Mullti-AnLecture 18Lecture 18 - Lecture Notes188 kb
Week 4-Least Squares (LS) Principle, Pseudo-Inverse, Properties of LS Estimate, Examples - Mullti-AnLecture 17Lecture 17 - Lecture Notes179 kb
Week 4-Least Squares (LS) Principle, Pseudo-Inverse, Properties of LS Estimate, Examples - Mullti-AnLecture 16Lecture 16 - Lecture Notes137 kb
Week 5- Inter Symbol Interference (ISI), Channel Equalization, Zero-Forcing (ZF) Equalizer, ZF ExamLecture 25Lecture 25 Notes203 kb
Week 5- Inter Symbol Interference (ISI), Channel Equalization, Zero-Forcing (ZF) Equalizer, ZF ExamLecture 24Lecture 24 Notes162 kb
Week 5- Inter Symbol Interference (ISI), Channel Equalization, Zero-Forcing (ZF) Equalizer, ZF ExamLecture 23Lecture 23 Notes241 kb
Week 5- Inter Symbol Interference (ISI), Channel Equalization, Zero-Forcing (ZF) Equalizer, ZF ExamLecture 22Lecture 22 Notes217 kb
Week 5- Inter Symbol Interference (ISI), Channel Equalization, Zero-Forcing (ZF) Equalizer, ZF ExamLecture 21Lecture 21 Notes203 kb
Week 6- Introduction to Orthogonal Frequency Division Multiplexing (OFDM) and Pilot Based OFDM ChannLecture 26Lecture 26 - Lecture Notes230 kb
Week 6- Introduction to Orthogonal Frequency Division Multiplexing (OFDM) and Pilot Based OFDM ChannLecture 27Lecture 27 - Lecture Notes310 kb
Week 6- Introduction to Orthogonal Frequency Division Multiplexing (OFDM) and Pilot Based OFDM ChannLecture 28Lecture 28 - Lecture Notes331 kb
Week 6- Introduction to Orthogonal Frequency Division Multiplexing (OFDM) and Pilot Based OFDM ChannLecture 29Lecture 29 - Lecture Notes172 kb
Week 6- Introduction to Orthogonal Frequency Division Multiplexing (OFDM) and Pilot Based OFDM ChannLecture 30Lecture 30 - Lecture Notes266 kb
Week 7- OFDM - Comb Type Pilot (CTP) Transmission, Channel Estimation in Time/ Frequency Domain, CTPLecture 31Lecture 31 - Lecture Notes261 kb
Week 7- OFDM - Comb Type Pilot (CTP) Transmission, Channel Estimation in Time/ Frequency Domain, CTPLecture 32Lecture 32 - Lecture Notes270 kb
Week 7- OFDM - Comb Type Pilot (CTP) Transmission, Channel Estimation in Time/ Frequency Domain, CTPLecture 33Lecture 33 - Lecture Notes321 kb
Week 7- OFDM - Comb Type Pilot (CTP) Transmission, Channel Estimation in Time/ Frequency Domain, CTPLecture 34Lecture 34 - Lecture Notes240 kb
Week 8- Sequential Least Squares (SLS) Estimation Scalar/ Vector Cases, Applications- Wireless FaLecture 35Lecture 35 - Lecture Notes259 kb
Week 8- Sequential Least Squares (SLS) Estimation Scalar/ Vector Cases, Applications- Wireless FaLecture 36Lecture 36 - Lecture Notes255 kb
Week 8- Sequential Least Squares (SLS) Estimation Scalar/ Vector Cases, Applications- Wireless FaLecture 37Lecture 37 - Lecture Notes214 kb
Week 8- Sequential Least Squares (SLS) Estimation Scalar/ Vector Cases, Applications- Wireless FaLecture 38Lecture 38 - Lecture Notes268 kb
Week 8- Sequential Least Squares (SLS) Estimation Scalar/ Vector Cases, Applications- Wireless FaLecture 39Lecture 39 - Lecture Notes255 kb


New Assignments
Module NameDownload
noc17-ee19_Week_01_Assignment_01noc17-ee19_Week_01_Assignment_01
noc17-ee19_Week_02_Assignment_01noc17-ee19_Week_02_Assignment_01
noc17-ee19_Week_03_Assignment_01noc17-ee19_Week_03_Assignment_01
noc17-ee19_Week_04_Assignment_01noc17-ee19_Week_04_Assignment_01
noc17-ee19_Week_05_Assignment_01noc17-ee19_Week_05_Assignment_01
noc17-ee19_Week_06_Assignment_01noc17-ee19_Week_06_Assignment_01
noc17-ee19_Week_07_Assignment_01noc17-ee19_Week_07_Assignment_01
noc17-ee19_Week_08_Assignment_01noc17-ee19_Week_08_Assignment_01

Sl.No Chapter Name English
1Lecture 01 - Basics - Sensor Network and Noisy Observation ModelDownload
Verified
2Lecture 02 - Likelihood Function and Maximum Likelihood (ML) EstimateDownload
Verified
3Lecture 03 - Properties of Maximum Likelihood (ML) Estimate Mean and UnbiasednessDownload
Verified
4Lecture 04 - Properties of Maximum Likelihood (ML) Estimate Variance and Spread Around MeanDownload
Verified
5Lecture 05 - Reliability of the Maximum Likelihood (ML) Estimate Number of Samples RequiredDownload
Verified
6Lecture 06 - Estimation of Complex Parameters Symmetric Zero Mean Complex Gaussian NoiseDownload
Verified
7Lecture 07 - Wireless Fading Channel Estimation Pilot Symbols and Likelihood FunctionDownload
Verified
8Lecture 08 - Wireless Fading Channel Estimation Pilot Training based Maximum Likelihood ML EstimateDownload
Verified
9Lecture 09 - Wireless Fading Channel Estimation Mean and Variance of Pilot Training Based Maximum LikelihoodDownload
Verified
10Lecture 10 - Example Wireless Fading Channel Estimation for Downlink Mobile CommunicationDownload
Verified
11Lec 11 - Cramer Rao Bound (CRB) for Parameter EstimationDownload
Verified
12Lec 12- Cramer Rao Bound CRB Example Wireless Sensor NetworkDownload
Verified
13Lec 13 - Vector Parameter Estimation System Model for Multi Antenna Downlink Channel EstimationDownload
Verified
14Lec 14 - Likelihood Function and Least Squares Cost Function for Vector Parameter EstimationDownload
Verified
15Lec 15 - Least Squares Cost Function for Vector Parameter Estimation Vector Derivative GradientDownload
Verified
16Lec 16- Least Squares Solution Maximum Likelihood ML Estimate Pseudo InverseDownload
Verified
17Lec 17- Properties of Least Squares Estimate Mean Covariance and DistributionDownload
Verified
18Lec 18 - Least Squares Multi Antenna Downlink Maximum Likelihood Channel EstimationDownload
Verified
19Lec 19- Multiple Input Multiple Output MIMO Channel Estimation Least Squares Maximum Likelihood MLDownload
Verified
20Lec 20- Example Least Squares Multiple Input Multiple Output MIMO Channel EstimationDownload
Verified
21Lec 21 Channel Equalization and Inter Symbol Interference ISI ModelDownload
Verified
22Lec 22 Least Squares based Zero Forcing Channel EqualizerDownload
Verified
23Lec 23 Example of ISI Channel and Least Squares based Zero ForcingDownload
Verified
24Lec 24 Equalization and Approximation Error for Zero Forcing Channel EqualizerDownload
Verified
25Lec 25 Example Equalization and Approximation Error for Zero Forcing Channel EqualizerDownload
Verified
26Lec 26-Introduction to Orthogonal Frequency Division Multiplexing OFDM Cyclic Prefix CP and Circular ConvolutionDownload
Verified
27Lec 27- Introduction to Orthogonal Frequency Division Multiplexing OFDM FFT at Receiver and Flat Fading Download
Verified
28Lec 28- Channel Estimation Across Each Subcarrier in Orthogonal Frequency Division Multiplexing OFDMDownload
Verified
29Lec 29- Example Orthogonal Frequency Division Mulltiplexing OFDM Transmission of Samples with Cyclic PrefixDownload
Verified
30Lec 30- Example Orthogonal Frequency Division Mulltiplexing OFDM FFT at Receiver and Channel EstimationDownload
Verified
31Lec 31- Comb Type Pilot CTP Based Orthogonal Frequency Division Multiplexing OFDM Channel EstimationDownload
Verified
32Lec 32- Comb Type Pilot CTP Based Orthogonal Frequency Division Multiplexing OFDM Channel EstimationDownload
Verified
33Lec 33- Example Comb Type Pilot CTP Based Orthogonal Frequency Division Multiplexing OFDM ChannelDownload
Verified
34Lec 34 -Frequency Domain Equalization FDE for Inter Symbol Interference ISI Removal in Wireless SystemDownload
Verified
35Lec 35-Example Frequency Domain Equalization FDE for Inter Symbol Interference ISI Removal in Wireless ChannelsDownload
Verified
36Lec 36-Example Frequency Domain Equalization FDE for Inter Symbol Interference ISI Removal in Wireless ChannelsDownload
Verified
37Lec 37-Introduction to Sequential Estimation Application in Wireless Channel Estimation Download
Verified
38Lec 38-Sequential Estimation of Wireless Channel Coefficient Estimate and Variance Update EquationDownload
Verified
39Lec 39- Example Sequential Estimation of Wireless Channel CoefficientDownload
Verified
Sl.No Chapter Name Hindi
1Lecture 01 - Basics - Sensor Network and Noisy Observation ModelDownload
2Lecture 02 - Likelihood Function and Maximum Likelihood (ML) EstimateDownload
3Lecture 03 - Properties of Maximum Likelihood (ML) Estimate Mean and UnbiasednessDownload
4Lecture 04 - Properties of Maximum Likelihood (ML) Estimate Variance and Spread Around MeanDownload
5Lecture 05 - Reliability of the Maximum Likelihood (ML) Estimate Number of Samples RequiredDownload
6Lecture 06 - Estimation of Complex Parameters Symmetric Zero Mean Complex Gaussian NoiseDownload
7Lecture 07 - Wireless Fading Channel Estimation Pilot Symbols and Likelihood FunctionDownload
8Lecture 08 - Wireless Fading Channel Estimation Pilot Training based Maximum Likelihood ML EstimateDownload
9Lecture 09 - Wireless Fading Channel Estimation Mean and Variance of Pilot Training Based Maximum LikelihoodDownload
10Lecture 10 - Example Wireless Fading Channel Estimation for Downlink Mobile CommunicationDownload
11Lec 11 - Cramer Rao Bound (CRB) for Parameter EstimationDownload
12Lec 12- Cramer Rao Bound CRB Example Wireless Sensor NetworkDownload
13Lec 13 - Vector Parameter Estimation System Model for Multi Antenna Downlink Channel EstimationDownload
14Lec 14 - Likelihood Function and Least Squares Cost Function for Vector Parameter EstimationDownload
15Lec 15 - Least Squares Cost Function for Vector Parameter Estimation Vector Derivative GradientDownload
16Lec 16- Least Squares Solution Maximum Likelihood ML Estimate Pseudo InverseDownload
17Lec 17- Properties of Least Squares Estimate Mean Covariance and DistributionDownload
18Lec 18 - Least Squares Multi Antenna Downlink Maximum Likelihood Channel EstimationDownload
19Lec 19- Multiple Input Multiple Output MIMO Channel Estimation Least Squares Maximum Likelihood MLDownload
20Lec 20- Example Least Squares Multiple Input Multiple Output MIMO Channel EstimationDownload
21Lec 21 Channel Equalization and Inter Symbol Interference ISI ModelDownload
22Lec 22 Least Squares based Zero Forcing Channel EqualizerDownload
23Lec 23 Example of ISI Channel and Least Squares based Zero ForcingDownload
24Lec 24 Equalization and Approximation Error for Zero Forcing Channel EqualizerDownload
25Lec 25 Example Equalization and Approximation Error for Zero Forcing Channel EqualizerDownload
26Lec 26-Introduction to Orthogonal Frequency Division Multiplexing OFDM Cyclic Prefix CP and Circular ConvolutionDownload
27Lec 27- Introduction to Orthogonal Frequency Division Multiplexing OFDM FFT at Receiver and Flat Fading Download
28Lec 28- Channel Estimation Across Each Subcarrier in Orthogonal Frequency Division Multiplexing OFDMDownload
29Lec 29- Example Orthogonal Frequency Division Mulltiplexing OFDM Transmission of Samples with Cyclic PrefixDownload
30Lec 30- Example Orthogonal Frequency Division Mulltiplexing OFDM FFT at Receiver and Channel EstimationDownload
31Lec 31- Comb Type Pilot CTP Based Orthogonal Frequency Division Multiplexing OFDM Channel EstimationDownload
32Lec 32- Comb Type Pilot CTP Based Orthogonal Frequency Division Multiplexing OFDM Channel EstimationDownload
33Lec 33- Example Comb Type Pilot CTP Based Orthogonal Frequency Division Multiplexing OFDM ChannelDownload
34Lec 34 -Frequency Domain Equalization FDE for Inter Symbol Interference ISI Removal in Wireless SystemDownload
35Lec 35-Example Frequency Domain Equalization FDE for Inter Symbol Interference ISI Removal in Wireless ChannelsDownload
36Lec 36-Example Frequency Domain Equalization FDE for Inter Symbol Interference ISI Removal in Wireless ChannelsDownload
37Lec 37-Introduction to Sequential Estimation Application in Wireless Channel Estimation Download
38Lec 38-Sequential Estimation of Wireless Channel Coefficient Estimate and Variance Update EquationDownload
39Lec 39- Example Sequential Estimation of Wireless Channel CoefficientDownload


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