NOC:Digital Communication using GNU Radio

Lecture 1 - Introduction to Digital Communication

Lecture 2 - Understanding GNU Radio features for Digital Communication: Basic blocks, input and output

Lecture 3 - Understanding GNU Radio features for Digital Communication: Advanced blocks, hardware interfacing

Lecture 4 - Fundamentals of Digital Communication: Signal Processing methods, vectors, and relevant GNU Radio Examples - Part 1

Lecture 5 - Fundamentals of Digital Communication: Signal Processing methods, vectors, and relevant GNU Radio Examples - Part 2

Lecture 6 - Complex Baseband Signal Representation

Lecture 7 - Real Passband Signal Representation, Up and Down Conversion of Complex Baseband Signals

Lecture 8 - Random Variables and Random Processes

Lecture 9 - Fundamentals of Digital Modulation

Lecture 10 - Linear Modulation Methods: Amplitude Shift Keying (ASK)

Lecture 11 - Linear Modulation Methods: Phase Shift Keying (PSK)

Lecture 12 - Linear Modulation Methods: Quadrature Amplitude Modulation (QAM) and Frequency Shift Keying (FSK)

Lecture 13 - Pulse Shaping for ISI Free Signaling

Lecture 14 - ASK using Raised Cosine (RC) and Root-Raised Cosine (RRC) Pulse Shaping

Lecture 15 - Basics of Detection: Properties of Gaussian Random Variables

Lecture 16 - Basics of Detection: Gaussian Random Vectors and Hypothesis Testing

Lecture 17 - Optimal Receivers for M-ary Signaling

Lecture 18 - Gram-Schmidt Orthogonalisation

Lecture 19 - Optimal Reception of M-ary Signals in AWGN

Lecture 20 - Detection and Optimal Decision for On-Off Signaling in AWGN Channel

Lecture 21 - Detection and Optimal Decision for M-ary Signaling

Lecture 22 - Python for GNU Radio

Lecture 23 - Extending GNU Radio Features using Python

Lecture 24 - Constructing and Visualising Constellations using GNU Radio

Lecture 25 - Understanding matched filtering using GNU Radio

Lecture 26 - Histograms in GNU Radio

Lecture 27 - Visualising Symbol Error Rate in GNU Radio

Lecture 28 - Signal-to-Noise Ratio and Symbol Error Probability - Part 1

Lecture 29 - Signal-to-Noise Ratio and Symbol Error Probability - Part 2

Lecture 30 - Symbol error rate and Bit error rate

Lecture 31 - Computing bit error rates in GNU Radio

Lecture 32 - End-to-end Digital Communication System Simulation in GNU Radio

Lecture 33 - Parameter Estimation for Practical Receivers - Part 1

Lecture 34 - Parameter Estimation for Practical Receivers - Part 2

Lecture 35 - Phase Locked Loop and Differential Modulation

Lecture 36 - Maximum Likelihood delay estimate for a single symbol in GNU Radio

Lecture 37 - Maximum Likelihood delay estimate for multiple symbols in GNU Radio

Lecture 38 - Phase offse estimation in GNU Radio

Lecture 39 - Phase Locked Loop in GNU Radio

Lecture 40 - Costas Loop and Differential PSK in GNU Radio

Lecture 41 - Channel Equalisation

Lecture 42 - Detection Strategy for Dispersive Channels

Lecture 43 - Maximum Likelihood sequence estimation: Viterbi Algorithm

Lecture 44 - Suboptimal Channel Equalisation: Zero-forcing Receiver

Lecture 45 - Zero forcing Receiver in GNU Radio

Lecture 46 - Suboptimal Channel Equalisation: Linear Minimum mean-square error receiver

Lecture 47 - LMMSE Receiver in GNU Radio

Lecture 48 - Parallelising Frequency Selective Channels

Lecture 49 - Orthogonal Frequency Division Multiplexing (OFDM)

Lecture 50 - OFDM in the prescence of dispersive channels

Lecture 51 - Equalisation using OFDM in GNU Radio

Lecture 52 - Error Control Coding: Parity Check Codes

Lecture 53 - Error Control Coding: Repetition Codes

Lecture 54 - Error Control Coding: Linear Block Codes

Lecture 55 - Repetition Codes in GNU Radio

Lecture 56 - Error Control Coding: Perfect Codes

Lecture 57 - Error Control Coding: Hamming Codes

Lecture 58 - (7,4) Hamming Code in GNU Radio

Lecture 59 - Rate and error-free Communication

Lecture 60 - Quantisation

Lecture 61 - Visualising Quantisation in GNU Radio

Lecture 62 - Course Summary