Communications Engineering: Essentials for Computer Scientists and Electrical Engineers
1 An Overview of Computer Communications.
2 Signal Space Representation.
2.1 The Vector Space.
2.2 The Signal Space.
3 Fourier Representations of Signals.
3.1 The Fourier Series.
3.2 Cosine-only Expansion of Fourier Series.
3.3 Fourier Series in Complex Exponentials.
3.4 The Fourier Transform.
3.5 Physical Meaning of Fourier Transform.
3.6 Properties of the Fourier Transform.
3.7 Fourier Transform Representations for Periodic Signals.
3.8 The Discrete Fourier Transform.
3.9 The Inverse Discrete Fourier Transform.
3.10 Physical Meaning of the Discrete Fourier Transform.
4 Analog Modulation Techniques.
4.1 Amplitude Modulation.
4.2 Double-sideband Suppressed Carrier (DSB-SC).
4.3 Single-sideband (SSB) Modulation.
4.4 Frequency Modulation (FM).
4.5 Superheterodyne AM and FM Receivers.
4.6 Analog Modulation with Frequency Division Multiplexing.
4.7 Concluding Remarks.
5 Digital Modulation Techniques.
5.1 Baseband Pulse Transmission.
5.2 Amplitude-shift Keying (ASK).
5.3 Binary Phase-shift Keying (BPSK).
5.4 Binary Frequency-shift Keying (FSK).
5.5 Quadriphase-shift Keying (QPSK).
5.6 Quadrature Amplitude Modulation.
5.7 Orthogonal Frequency Division Multiplexing (OFDM).
5.8 OFDM in Wireless Local Area Networks.
5.9 Digital Audio Broadcast Using OFDM and TDMA.
5.10 The Role of Inner Product in Digital Modulation.
5.11 Review of Digital Modulation Techniques.
6 Multiple-access Communications.
6.1 Frequency-division Multiple Access (FDMA).
6.2 Time-division Multiple Access (TDMA).
6.3 Code-division Multiple Access (CDMA).
6.4 Carrier-sense Multiple Access (CSMA).
6.5 The Multiplexing Transmission Problem.
7 Spread-spectrum Communications.
7.1 The Basic Concept of Spread-spectrum.
7.2 Baseband Transmission for Direct-sequence Spread-spectrum (DSSS) Communications.
7.3 BPSK Modulation for DSSS.
7.4 Pseudo-random Binary Sequence.
7.5 Frequency-hopping Spread-spectrum.
7.6 Application of Spread-spectrum Techniques to Multiple-access Systems.
8 Source Coding and Channel Coding.
8.1 Average Codeword Length of Source Coding.
8.2 Prefix Codes.
8.3 Huffman Coding.
8.4 Channel Coding.
8.5 Error-correcting Capability and Hamming Distance.
8.6 Hamming Codes.
8.7 Convolutional Codes.
- Provides a thorough grounding in the basics by focusing on select key concepts
- Simplifies comprehension of the subject via detailed explanation and illustration
- Instills an intuitive sense of both digital and analog communications principles
- Introduces key broadcasting, wireless and wired systems
- Helps bridge the knowledge gap between software and electrical engineering
- Requires only calculus and trigonometry skills
- Classroom tested in undergraduate CS and EE programs
- Instructor resources available for download include solutions manual, instructors manual, presentation files with illustrations, and presentation files with lecture notes