Lecture 1 - Introduction
Lecture 2 - Basics of MATLAB
Lecture 3 - Data Types
Lecture 4 - Floating Point Numbers
Lecture 5 - Scripts and Flow of Control
Lecture 6 - The For Loop
Lecture 7 - Arrays
Lecture 8 - Indexing
Lecture 9 - Some Reuslts from Linear Algebra
Lecture 10 - Matrix Multiplication
Lecture 11 - Eigenvalues and Eigenvectors
Lecture 12 - Complex Numbers
Lecture 13 - Hermitian Matrices
Lecture 14 - Matrix Inversion
Lecture 15 - Signals
Lecture 16 - Convolution
Lecture 17 - Probability
Lecture 18 - Bayes Theorem
Lecture 19 - Random Varibles
Lecture 20 - Clinical Trials - I
Lecture 21 - Clinical Trials - II
Lecture 22 - Random Numbers
Lecture 23 - Random Disttributions
Lecture 24 - Histograms - I
Lecture 25 - Histograms - II
Lecture 26 - Functions of Random Variables
Lecture 27 - Generating Random Disttributions
Lecture 28 - Laws of Large numbers
Lecture 29 - Random Processes
Lecture 30 - Properties of Random Processes
Lecture 31 - Power Spectra
Lecture 32 - Signals and Noise
Lecture 33 - Stochastic Models
Lecture 34 - The AR-1 Process
Lecture 35 - Stochastic Models II
Lecture 36 - Yule Walker Equations
Lecture 37 - Markov Chains - I
Lecture 38 - Markov Chains - II
Lecture 39 - Markov Chains - III
Lecture 40 - Analog to Digital Coversion
Lecture 41 - K Means
Lecture 42 - Correlation
Lecture 43 - Predictive Coding
Lecture 44 - Image Compression
Lecture 45 - Transform Domain Compression
Lecture 46 - Multi Resolution Coding
Lecture 47 - Introduction to Communications
Lecture 48 - Low Pass and BandPass Signals
Lecture 49 - Signal Spaces
Lecture 50 - PAM
Lecture 51 - Detection
Lecture 52 - Effects of AWGN
Lecture 53 - ML Detection - I
Lecture 54 - ML Detection - II
Lecture 55 - The Union Bound
Lecture 56 - Symbol Error Rates
Lecture 57 - Choosing Constellations
Lecture 58 - Orthogonal Signalling
Lecture 59 - Non-Coherent Dection - 1
Lecture 60 - Non-Coherent Dection - 2
Lecture 61 - DPSK - I
Lecture 62 - DPSK - II
Lecture 63 - Introduction to Wireless Communications
Lecture 64 - Conclusion
