Digital Communication [Videos, Notes, Tests]

Digital communication revolutionizes how information is transmitted in today’s technology-driven world by converting data into digital signals for fast, reliable, secure, and noise-resistant communication. Techniques like PCM, ASK, FSK, PSK, and various advanced modulation schemes ensure accurate data transfer across different channels, from wired networks to satellites and high-speed wireless systems. Understanding digital communication is crucial for modern technologies such as mobile networks, the Internet, optical fiber communication, and multimedia transmission. It forms the core foundation for advanced fields like wireless communication, 5G/6G networks, satellite systems, and IoT-based smart devices. With increasing demand for high-quality data services, digital communication skills have become essential for every electronics and communication engineering student.

This course includes detailed and engaging videos related to Digital Communication and Communication Engineering. Here, Prof. Hitesh Dholakiya has covered all major topics with clear explanations, practical insights, and exam-oriented approaches. The course is designed to help learners build strong theoretical knowledge, analyze real-world communication systems, and understand the role of noise, bandwidth, and coding in performance improvement. Whether preparing for competitive exams, university studies, lab work, or enhancing professional skills for industry, this course provides complete guidance for mastering communication systems confidently.

Chapter Details of the Digital Communication Course:

Chapter 1: Introduction to Digital Communication System
Chapter 2: Digital Modulation Techniques
Chapter 3: Sampling Theory
Chapter 4: Quantization and PCM
Chapter 5: Line Coding
Chapter 6: Information Theory
Chapter 7: Probability of Random Variables
Chapter 8: Error Detection and Error Correction
Chapter 9: Spread Spectrum

Chapter-wise detailed syllabus is as follows:
1. Introduction to Digital Communication:

Block Diagram of Digital Communication, Advantages and Disadvantages of Digital Communication, Scrambling Process and Solved Example, Regenerative Repeater, Eye Diagram, Inter-Symbol Interference - ISI, Attenuation of Signal, Bit Rate and Baud Rate.

2. Digital Modulation Schemes:

Amplitude Shift Keying - ASK, Signal Space Diagram of ASK, Frequency Shift Keying - FSK, M Array FSK, Phase Shift Keying - PSK, Differential PSK - DPSK, Binary Phase Shift Keying - BPSK, Quadrature Phase Shift Keying - QPSK, Quadrature Amplitude Modulation - QAM, Minimum Shift Keying - MSK, Probability of Error in BPSK, BASK, and BFSK.

3. Sampling Theory:

Sampling Theory, Properties of Nyquist Rate, Sampling, Nyquist Rate and Aliasing Effect, Signal Recovery after Sampling Process, Sampling Theorem for Band Pass Signal, Ideal Sampling, Natural Sampling, Flat Top Sampling, Pulse Width Modulation - PWM, Pulse Position Modulation - PPM, Pulse Amplitude Modulation - PAM.

4. Quantization and PCM:

Quantization Process, Dynamic Range of Quantization, SNR of Quantization, Uniform Quantization, Pulse Code Modulation - PCM, PCM Receiver, Quantization Error and SNR, PCM Solved Examples, Quantization Solved Examples, Non-Uniform Quantization, Companding in Quantization, ? Law Companding, A Law Companding, Data Rate of PCM in India and USA, Differential PCM - DPCM, SQNR of DPCM, Delta Modulation, SQNR of Delta Modulation, Adaptive Delta Modulation.

5. Line Coding:

Line Coding, Pulse Shaping Techniques (Polar, Unipolar and Bipolar), Basic Pulses (NRZ, RZ and Manchester), PSD of NRZ Unipolar Line Coding, PSD of NRZ Polar Line Coding, PSD of NRZ Bipolar Line Coding, PSD of Manchester Line Coding, Unipolar, Polar, Bipolar and Manchester Line Coding, Duobinary Signaling.

6. Information Theory and Coding:

Information Theory, Entropy, Shannon Fano Encoding, Huffman Coding, Lempel Zip Coding, Channel Capacity by Shannon Hartley.

7. Probability of Random Variables:

Venn Diagram, Probability of Random Variables, Probability Distribution Function - PDF, Cumulative Distribution Function - CDF, Examples of PDF and CDF, Mean, Variance and Standard Deviation of Random Variables, nth Moment and Central Moment of Random Variables, Chebyshev's Inequality.

8. Error Detection and Error Correction:

Introduction to Block Codes, Block Codes for Parity Check, Block Codes for Product Code, Block Codes for Repetition Code, Hamming Code, Linear Block Code, Cyclic Code, Non-Systematic Cyclic Code, Systematic Cyclic Code, Generator Matrix of Cyclic Code, Cyclic Redundancy Check - CRC, Convolutional Codes, Viterbi Algorithm.

9. Spread Spectrum:

Spread Spectrum, Frequency Hopping Spread Spectrum - FHSS, Direct Sequency Spread Spectrum - DSSS.

Thank You.
See you in the course.
[Validity of the course will be for 6 Months]