NOC:Estimation for Wireless Communications / MIMO (USB)

Media Storage Type : 32 GB USB Stick

NPTEL Subject Matter Expert : Prof. Aditya K. Jagannatham

NPTEL Co-ordinating Institute : IIT Kanpur

NPTEL Lecture Count : 39

NPTEL Course Size : 2.0 GB

NPTEL PDF Text Transcription : Available and Included

NPTEL Subtitle Transcription : Available and Included (SRT)

Lecture Titles:

Lecture 1 - Basics - Sensor Network and Noisy Observation Model
Lecture 2 - Likelihood Function and Maximum Likelihood (ML) Estimate
Lecture 3 - Properties of Maximum Likelihood (ML) Estimate – Mean and Unbiasedness
Lecture 4 - Properties of Maximum Likelihood (ML) Estimate – Variance and Spread Around Mean
Lecture 5 - Reliability of the Maximum Likelihood (ML) Estimate – Number of Samples Required
Lecture 6 - Estimation of Complex Parameters – Symmetric Zero Mean Complex Gaussian Noise
Lecture 7 - Wireless Fading Channel Estimation – Pilot Symbols and Likelihood Function
Lecture 8 - Wireless Fading Channel Estimation – Pilot Training based Maximum Likelihood ML Estimate
Lecture 9 - Wireless Fading Channel Estimation – Mean and Variance of Pilot Training Based Maximum Likelihood
Lecture 10 - Example – Wireless Fading Channel Estimation for Downlink Mobile Communication
Lecture 11 - Cramer Rao Bound (CRB) for Parameter Estimation
Lecture 12 - Cramer Rao Bound CRB Example – Wireless Sensor Network
Lecture 13 - Vector Parameter Estimation – System Model for Multi Antenna Downlink Channel Estimation
Lecture 14 - Likelihood Function and Least Squares Cost Function for Vector Parameter Estimation
Lecture 15 - Least Squares Cost Function for Vector Parameter Estimation Vector Derivative Gradient
Lecture 16 - Least Squares Solution Maximum Likelihood ML Estimate Pseudo Inverse
Lecture 17 - Properties of Least Squares Estimate – Mean Covariance and Distribution
Lecture 18 - Least Squares Multi Antenna Downlink Maximum Likelihood Channel Estimation
Lecture 19 - Multiple Input Multiple Output MIMO Channel Estimation – Least Squares Maximum Likelihood ML
Lecture 20 - Example – Least Squares Multiple Input Multiple Output MIMO Channel Estimation
Lecture 21 - Channel Equalization and Inter Symbol Interference ISI Model
Lecture 22 - Least Squares based Zero Forcing Channel Equalizer
Lecture 23 - Example of ISI Channel and Least Squares based Zero Forcing
Lecture 24 - Equalization and Approximation Error for Zero Forcing Channel Equalizer
Lecture 25 - Example Equalization and Approximation Error for Zero Forcing Channel Equalizer
Lecture 26 - Introduction to Orthogonal Frequency Division Multiplexing OFDM – Cyclic Prefix CP and Circular Convolution
Lecture 27 - Introduction to Orthogonal Frequency Division Multiplexing OFDM – FFT at Receiver and Flat Fading
Lecture 28 - Channel Estimation Across Each Subcarrier in Orthogonal Frequency Division Multiplexing OFDM
Lecture 29 - Example Orthogonal Frequency Division Mulltiplexing OFDM – Transmission of Samples with Cyclic Prefix
Lecture 30 - Example Orthogonal Frequency Division Mulltiplexing OFDM – FFT at Receiver and Channel Estimation
Lecture 31 - Comb Type Pilot CTP Based Orthogonal Frequency Division Multiplexing OFDM Channel Estimation
Lecture 32 - Comb Type Pilot CTP Based Orthogonal Frequency Division Multiplexing OFDM Channel Estimation
Lecture 33 - Example Comb Type Pilot CTP Based Orthogonal Frequency Division Multiplexing OFDM Channel
Lecture 34 - Frequency Domain Equalization FDE for Inter Symbol Interference ISI Removal in Wireless System
Lecture 35 - Example Frequency Domain Equalization FDE for Inter Symbol Interference ISI Removal in Wireless Channels
Lecture 36 - Example Frequency Domain Equalization FDE for Inter Symbol Interference ISI Removal in Wireless Channels
Lecture 37 - Introduction to Sequential Estimation – Application in Wireless Channel Estimation
Lecture 38 - Sequential Estimation of Wireless Channel Coefficient – Estimate and Variance Update Equation
Lecture 39 - Example Sequential Estimation of Wireless Channel Coefficient