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