Principles of Communication
Principles of Communication (Part 1). Instructor: Prof. Aditya K. Jagannatham, Department of Electrical Engineering, IIT Kanpur. This course covers fundamental concepts of communication systems, which are essential for the understanding of advanced courses in digital/ wireless communication systems. Beginning with various basic tools such as Fourier Series/ Transform, the course will also cover several important modulation techniques such as Amplitude Modulation, Frequency Modulation, Phase Modulation etc. Sampling process and Quantization, including Nyquist criterion and reconstruction of the original signal from the sampled signal will be dealt with in the later parts of the course.
(from nptel.ac.in
Lecture 42 - Introduction to Lloyd-Max Quantization Algorithm, Optimal Quantizer Design
VIDEO
This lecture introduces the optimal Lloyd-Max quantizer which is based on the principles of quantization error minimization.
Go to the Course Home
Lecture 01 - Basics - Definition of Energy and Power of Signals
Lecture 02 - Frequency Domain Representation and Introduction to Discrete Fourier Series
Lecture 03 - Discrete Fourier Series Example and Parseval's Theorem for Periodic Signals
Lecture 04 - Fourier Transform (FT), Inverse Fourier Transform (IFT) of Continuous Signals
Lecture 05 - Modulation Property of Fourier Transform, Dirac Delta or Unit Impulse Function
Lecture 06 - Duality Property of Fourier Transform, Introduction to Linear Time Invariant Systems
Lecture 07 - Transmission of a Signal through Linear Time Invariant Systems, Cross-correlation of Signals
Lecture 08 - Autocorrelation of Signals and Energy Spectral Density (ESD)
Lecture 09 - Example for Autocorrelation of Signals and Energy Spectral Density (ESD)
Lecture 10 - Introduction to Amplitude Modulation (AM), Modulation Index, Envelope Distortion and Over Modulation
Lecture 11 - Spectrum of AM Signals and Introduction to Envelope Detection
Lecture 12 - Envelope Detection for AM Signals and Time Constant for Capacitor in Envelope Detector
Lecture 13 - Power of AM Signals and Power Efficiency of AM Signals
Lecture 14 - Double Sideband (DSB) Suppressed Carrier (SC) Modulation
Lecture 15 - DSB-SC Demodulation, Non-coherent Demodulation, Impact of Carrier Phase Offset
Lecture 16 - Carrier Phase Offset Example for DSB-SC Demodulation
Lecture 17 - Phase Synchronization using Costa Receiver for DSB-SC Demodulation
Lecture 18 - Introduction to Quadrature Carrier Multiplexing (QCM) and Demodulation of QCM Signals
Lecture 19 - Introduction to Single Sideband (SSB) Modulation
Lecture 20 - Generation of SSB Modulation Signals through Frequency Discrimination
Lecture 21 - Frequency Domain Description of Hilbert Transform
Lecture 22 - Time Domain Description of Hilbert Transform
Lecture 23 - Phase Shifting Method for Generation of SSB Modulated Signals based on Hilbert Transform
Lecture 24 - Complex Pre-Envelope and Complex Envelope of Passband Signals
Lecture 25 - Complex Pre-Envelope and Complex Envelope of QCM Signals
Lecture 26 - Introduction to Vestigial Sideband (VSB) Modulation
Lecture 27 - Properties of VSB Filter for Reconstruction of Message Signal without Distortion
Lecture 28 - Introduction to Angle Modulation, Description of Phase Modulation and Frequency Modulation
Lecture 29 - Frequency Modulation with Sinusoidal Modulation Signal and Pictorial Examples
Lecture 30 - Indirect Method for Generation of FM Signals - Generation of Narrowband FM Signals
Lecture 31 - Generation of Wideband FM Signals through Frequency Multiplication
Lecture 32 - Spectrum of Frequency Modulated (FM) Signals
Lecture 33 - Bandwidth of Frequency Modulated (FM) Signals - Carson's Rule
Lecture 34 - Demodulation of Frequency Modulated (FM) Signals, Condition of Envelope Detection
Lecture 35 - Analog to Digital Conversion of Signals and Introduction to Sampling
Lecture 36 - Spectrum of a Sampled Signal, Aliasing and the Nyquist Sampling Theorem
Lecture 37 - Ideal Impulse Train Sampling, Reconstruction of Original Signal from Samples, Sinc Interpolation
Lecture 38 - Introduction to Pulse Amplitude Modulation, Sample and Hold, Flat Top Sampling
Lecture 39 - Spectrum of PAM Signals, Reconstruction of Original Signal from PAM Signal
Lecture 40 - Introduction to Quantization, Uniform Quantizer, Mid-Tread Quantizer
Lecture 41 - Mid-Rise Quantizer, Quantization Error, Probability Density Function (PDF)
Lecture 42 - Introduction to Lloyd-Max Quantization Algorithm, Optimal Quantizer Design
Lecture 43 - Lloyd-Max Quantization Algorithm, Iterative Computation of Optimal Quantization Levels and Intervals
Lecture 44 - Companding for Non-uniform Quantization, Mu-law and A-law Compressors
Lecture 45 - Introduction to Delta Modulation, One-bit Quantizer
Lecture 46 - Signal Reconstruction in Delta Modulation, Distortions in Delta Modulation
Lecture 47 - Differential Pulse Code Modulation (DPCM), DPCM Signal Reconstruction
Lecture 48 - Frequency Mixing and Translation in Communication Systems, Heterodyne Receiver
Lecture 49 - Frequency Translation and Superheterodyne Receiver
Lecture 50 - Frequency Division Multiplexing (FDM), Carrier Spacing in FDM
Lecture 51 - Time Division Multiplexing (TDM), Operation of TDM, Sample Spacing in TDM
Lecture 52 - Bandwidth Requirements of Time Division Multiplexing (TDM)