NOC:Analog and Digital Communications-I

Lecture 1 - History of Communications

Lecture 2 - What are signals ?

Lecture 3 - Fourier Series

Lecture 4 - Fourier Transforms

Lecture 5 - Properties of Fourier Transform

Lecture 6 - Convolution

Lecture 7 - Time/Bandwidth

Lecture 8 - LowPass/Bandpass Signals

Lecture 9 - Low Pass equivalents

Lecture 10 - Probability Spaces

Lecture 11 - Bayes Theorem

Lecture 12 - Random Variables

Lecture 13 - Special Random Variables

Lecture 14 - Two Random Variables

Lecture 15 - Complex Random Variables

Lecture 16 - Random Vectors

Lecture 17 - Covariance Matrices

Lecture 18 - Random Processes

Lecture 19 - Stationarity

Lecture 20 - Ergodicity

Lecture 21 - Random Processes as Signals

Lecture 22 - White Gaussian Random Process

Lecture 23 - Noise

Lecture 24 - Modulation

Lecture 25 - Amplitude Modulation

Lecture 26 - Generating AM

Lecture 27 - Diode Detector

Lecture 28 - DSB SC

Lecture 29 - Ring Modulator

Lecture 30 - Phase Error in DSB-SC

Lecture 31 - Quadrature Amplitude Multiplexing

Lecture 32 - QAM Demodulation

Lecture 33 - Angle Modulation

Lecture 34 - FM Spectrum I

Lecture 35 - FM Spectrum II

Lecture 36 - FM Generation/Demodulation

Lecture 37 - Phase Locked Loop

Lecture 38 - Signal to Noise Ratio

Lecture 39 - Noise in AM/FM

Lecture 40 - Link Budget 1

Lecture 41 - Link Budget 2

Lecture 42 - Introduction to Digital Communications

Lecture 43 - Analog to Digital Conversion

Lecture 44 - Sampling

Lecture 45 - Aliasing

Lecture 46 - Reconstruction

Lecture 47 - Practical Sampling

Lecture 48 - Aliasing Again

Lecture 49 - Band Pass Sampling

Lecture 50 - Sampling Random Processes

Lecture 51 - Quantization

Lecture 52 - Lloyd Max Quantization

Lecture 53 - Uniform Quantization

Lecture 54 - PCM

Lecture 55 - Line Codes

Lecture 56 - Companding

Lecture 57 - Correlation

Lecture 58 - Autoregressive Processes

Lecture 59 - Correlation Matrices

Lecture 60 - Delta Modulation

Lecture 61 - Baseband Pulse Transmission

Lecture 62 - SNR Maximization

Lecture 63 - The Matched Filter

Lecture 64 - Probability of Error

Lecture 65 - Vector Spaces

Lecture 66 - Inner Products

Lecture 67 - Basis and Orthogonalization

Lecture 68 - Signal Spaces

Lecture 69 - Fourier Series Again