Learn · Principles of Communication Systems - I
Lecture 69 of 75Week 11 - Transformation of Random Variables, Gaussian Random Variable ,Special Case: IID Gaussian Random Variables,…
Random Processes and Wide Sense Stationarity (WSS)
Prof. Aditya Jagannatham · IIT Kanpur
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All the lectures
- Lec 01 | Principles of Communication Systems-I | Basics | IIT KANPUR
- Lec 02|Principles of Communication Systems-I I Frequency Domain Representation | IIT KANPUR
- Lec 03| Principles of Communication Systems-I | Discrete Fourier Series Example | IIT KANPUR
- Lec 04 | Principles of Communication Systems-I| Fourier and Inverse Fourier Transform | IIT Kanpur
- Lec 05|Principles of Communication Systems-I | |Modulation Property of Fourier Transform| IIT KANPUR
- Lec 06|Principles of Communication Systems-I |Duality Property of Fourier Transform | IIT KANPUR
- Lec 07|Principles of Communication Systems-I |Transmission of Signal through (LTI) | IIT KANPUR
- Lec 08|Principles of Communication Systems-I |Auto-Correlation of Signal | IIIT KANPUR
- Lec 09 | Principles of Communication Systems-I | Example of auto-correlation of signal | IIT KANPUR
- Lec 10 | Principles of Communication Systems-I |Introduction to Amplitude Modulation| IIT KANPUR
- Lec 11 | Principles of Communication Systems-I | Spectrum of AM Signals| IIT KANPUR
- Lec 12 | Principles of Communication | Envelope Detection for AM Signals | IIT Kanpur
- Lec 13 | Principles of Communication Systems-I | Power of Amplitude Modulated Signals | IIT KANPUR
- Lec 14 | Principles of Communication Systems-I | DSB-SC Modulation | IIT KANPUR
- Lec 15 | Principles of Communication Systems-I | DSB-SC demodulation | IIT KANPUR
- Lec 16| Principles of Communication Systems-I |Carrier Phase Offset for (DSBSC) | IIT KANPUR
- Lec 17| Principles of Communication Systems-I |Phase Synchronization(Costas Receiver)| IIT KANPUR
- Lec 18| Principles of Communication Systems-I |Introduction to (QCM) | IIT KANPUR
- Lec 19| Principles of Communication Systems-I |Introduction to SSB Modulation | IIT KANPUR
- Lec 20| Principles of Communication Systems-I | Generation of (SSB) Modulated Signals| IIT KANPUR
- Lec 21| Principles of Communication Systems-I |Frequency Domain of Hilbert Transform| IIT KANPUR
- Lec 22| Principles of Communication Systems-I |Time Domain of Hilbert Transform | IIT KANPUR
- Lec 23| Principles of Communication Systems-I | Phase Shifting Method for (SSB)| IIT KANPUR
- Lec 24| Principles of Communication Systems-I | Complex Pre-Envelope of Passband Signals| IIT KANPUR
- Lec 25 | Principles of Communication Systems-I | Complex Pre- Envelope of QCM Signals | IIT KANPUR
- Lec 26 | Principles of Communication Systems-I | Introduction to (VSB) Modulation | IIT KANPUR
- Lec 27 | Principles of Communication Systems-I | Vestigial Side Band Filter| IIT KANPUR
- Lec 28 | Principles of Communication Systems-I | Introduction to Angle Modulation | IIT KANPUR
- Lec 29 | Principles of Communication Systems-I | FM with Sinusoidal Modulation Signal| IIT KANPUR
- Lec 30 | Principles of Communication Systems-I |Generation of Narrowband FM signal| IIT KANPUR
- Lec 31 | Principles of Communication Systems-I | Indirect Method for Generation of Wb FM| IIT KANPUR
- Lec 32 | Principles of Communication Systems-I |Spectrum of FM Signals| IIT KANPUR
- Lec 33 | Principles of Communication Systems-I |Bandwidth of FM Carson's Rule| IIT KANPUR
- Lec 34 | Principles of Communication Systems-I |Demodulation of FM Signals| IIT KANPUR
- Lec 35 | Principles of Communication Systems-I |Analog to Digital Conversion of signals| IIT KANPUR
- Lec 36 | Principles of Communication Systems-I |Sampling, Aliasing, Nyquist Theorem| IIT KANPUR
- Lec 37 | Principles of Communication Systems-I | Ideal Impulse Train Sampling| IIT KANPUR
- Lec 38 | Principles of Communication Systems-I | Introduction to (PAM)| IIT KANPUR
- Lec 39 | Principles of Communication Systems-I | Pulse Amplitude Modulation (PAM) | IIT KANPUR
- Lec 40 | Principles of Communication Systems-I |Quantization and Quantizer| IIT KANPUR
- Lec 41 | Principles of Communication Systems-I | Quantization, Mid- Rise Quantizer| IIT KANPUR
- Lec 42 | Principles of Communication Systems-I |Lloyd- Max Quantization Algorithm| IIT KANPUR
- Lec 43 | Principles of Communication Systems-I |Optimal Lloyd- Max quantizer design| IIT KANPUR
- Lec 44 | Principles of Communication Systems-I |Companding, Mu-law, A- Law| IIT KANPUR
- Lec 45 | Principles of Communication Systems-I |Delta Modulation, One-bit Quantizer| IIT KANPUR
- Lec 46 | Principles of Communication Systems-I |Reconstruction in Delta Modulation| IIT KANPUR
- Lec 47 | Principles of Communication Systems-I |DPCM, DPCM Signal Reconstruction|KANPUR
- Lec 48 | Principles of Communication Systems-I|Heterodyne and Super Heterodyne Receivers| IIT KANPUR
- Lec 49 | Principles of Communication Systems-I |Frequency Translation| IIT KANPUR
- Lec 50 | Principles of Communication Systems-I |FDM and Carrier Spacing in FDM| IIT KANPUR
- Lec 51 | Principles of Communication Systems-I |TDM,Sample Spacing in TDM| IIT KANPUR
- Lec 52 | Principles of Communication Systems-I | Bandwidth Requirements of TDM | IIT KANPUR
- Basics - Sample Space and Events
- Axioms of Probability
- Conditional Probability - Mary-PAM Example
- Independent Events - Mary-PAM Example
- Independent Events - Block Transmission Example
- Independent Events - Multiantenna Fading Example
- Bayes Theorem and Aposteriori Probabilities
- Maximum Aposteriori Probability (MAP) Receiver
- Random Variables, Probability Density Function (PDF)
- Application: Power of Fading Wireless Channel
- Mean, Variance of Random Variables
- Application: Average Delay and RMS Delay Spread of Wireless Channel
- Transformation of Random Variables and Rayleigh Fading Wireless Channel
- Gaussian Random Variable and Linear Transformation
- Special Case: IID Gaussian Random Variables
- Application: Array Processing and Array Gain with Uniform Linear Arrays
- Random Processes and Wide Sense Stationarity (WSS)
- WSS Example Narrowband Wireless Signal with Random Phase
- Power Spectral Density (PSD) for WSS Random Process
- PSD Application in Wireless Bandwidth Required for Signal Transmission
- Transmission of WSS Random Process Through LTI System
- Special Random Processes Gaussian Process and White Noise AWGN Communication Channel
- Gaussian Process Through LTI System Example: WGN Through RC Low Pass Fillter Not Started