Principles of Communication (Part 1)
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 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) |
| References |
Principles of Communication (Part 1)
Instructor: Prof. Aditya K. Jagannatham, Department of Electrical Engineering, IIT Kanpur. This course covers fundamental concepts of communication systems.
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