Free Download Digital Communication Comprehensive Course
Published 11/2025
Created by Prof. Hitesh Dholakiya (CEO of Engineering Funda & Day Dream Software)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 130 Lectures ( 29h 7m ) | Size: 22.8 GB
Digital Modulation Schemes | Sampling Theory | Quantization | PCM | Line Coding | Information Theory | Error Correction
What you'll learn
Basics of Digital Communication Systems
Digital Modulation Techniques
Sampling Theory
Quantization and PCM
Line Coding Techniques
Information Theory and Coding
Probability and Random Variables
Error Detection and Error Correction
Spread Sprectrum: FHSS and DSSS
Requirements
No Prior knowledge is needed
Everything is taught step by step
Description
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 SystemChapter 2: Digital Modulation TechniquesChapter 3: Sampling TheoryChapter 4: Quantization and PCMChapter 5: Line CodingChapter 6: Information TheoryChapter 7: Probability of Random VariablesChapter 8: Error Detection and Error CorrectionChapter 9: Spread SpectrumChapter-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.Course Prerequisites:1. Software Requirements:Scientific Calculator (any model) - for solving numerical problemsPDF Reader - to view downloadable notes and solved examples2. Additional MaterialsNotebook for solving numerical problemsPen/pencil for diagram sketches (eye diagrams, signal space diagrams, sampling waveforms, etc.)Headphones for a clear listening experienceStable internet connection for smooth video streaming3. Prior Knowledge / Academic BackgroundThis course is designed for beginners, but the following helps:Basic understanding of electronics fundamentals (signals, frequency, amplitude)Familiarity with basic mathematics: logarithms, probability basics, exponentsNo prior experience in digital communication is required4. Recommended Learning MindsetTo get the most out of the course, learners should:Be willing to solve numerical examples along with the instructorReview end-of-chapter questions for deeper clarityApproach each module with curiosity-digital communication concepts build on one anotherThank You.
Who this course is for
Students (Engineering, Diploma, Science)
Engineering students specializing in electrical, electronic, or communication engineering
Professionals working in industries such as defense, aerospace, and telecommunications
Anyone with a keen interest in understanding the principles and applications of Digital Communication
Government and Defense Employees
Students Preparing for Competitive Exams
Homepage
Bitte
Anmelden
oder
Registrieren
um Links zu sehen.
Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!
