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Electrical Engineering

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Electrical Engineering

The text focuses on the creation, manipulation, transmission, and reception of information by electronic means. Elementary signal theory; time- and frequency-domain analysis; Sampling Theorem. Digital information theory; digital transmission of analog signals; error-correcting codes.

Electrical EngineeringEngineering
Author
Don Johnson
Publisher
Rice University
Source
LibreTexts
License
CC BY
Language
EN
Read online Download PDF (open licence)
Contents· 111 sections
  1. 01: Introduction to Electrical Engineering
  2. 1.01: Themes
  3. 1.02: Signals Represent Information
  4. 1.03: Structure of Communication Systems
  5. 1.04: The Fundamental Signal
  6. 1.05: Introduction Problems
  7. 02: Signals and Systems
  8. 2.01: Complex Numbers
  9. 2.02: Elemental Signals
  10. 2.03: Signal Decomposition
  11. 2.04: Discrete-Time Signals
  12. 2.05: Introduction to Systems
  13. 2.06: Simple Systems
  14. 2.07: Signals and Systems Problems
  15. 03: Analog Signal Processing
  16. 3.01: Voltage Current and Generic Circuit Elements
  17. 3.02: Ideal Circuit Elements
  18. 3.03: Ideal and Real-World Circuit Elements
  19. 3.04: Electric Circuits and Interconnection Laws
  20. 3.05: Power Dissipation in Resistor Circuits
  21. 3.06: Series and Parallel Circuits
  22. 3.07: Equivalent Circuits - Resistors and Sources
  23. 3.08: Circuits with Capacitors and Inductors
  24. 3.09: The Impedance Concept
  25. 3.10: Time and Frequency Domains
  26. 3.11: Power in the Frequency Domain
  27. 3.12: Equivalent Circuits - Impedances and Sources
  28. 3.13: Transfer Functions
  29. 3.14: Designing Transfer Functions
  30. 3.15: Formal Circuit Methods - Node Method
  31. 3.16: Power Conservation in Circuits
  32. 3.17: Electronics
  33. 3.18: Dependent Sources
  34. 3.19: Operational Amplifiers
  35. 3.20: The Diode
  36. 3.21: Analog Signal Processing Problems
  37. 04: Frequency Domain
  38. 4.01: Introduction to the Frequency Domain
  39. 4.02: Complex Fourier Series
  40. 4.03: Classic Fourier Series
  41. 4.04: A Signal's Spectrum
  42. 4.05: Fourier Series Approximation of Signals
  43. 4.06: Encoding Information in the Frequency Domain
  44. 4.07: Filtering Periodic Signals
  45. 4.08: Derivation of the Fourier Transform
  46. 4.09: Linear Time Invariant Systems
  47. 4.10: Modeling the Speech Signal
  48. 4.11: Frequency Domain Problems
  49. 05: Digital Signal Processing
  50. 5.01: Introduction to Digital Signal Processing
  51. 5.02: Introduction to Computer Organization
  52. 5.03: The Sampling Theorem
  53. 5.04: Amplitude Quantization
  54. 5.05: Discrete -Time Signals and Systems
  55. 5.06: Discrete -Time Fourier Transform (DTFT)
  56. 5.07: Discrete Fourier Transforms (DFT)
  57. 5.08: DFT - Computational Complexity
  58. 5.09: Fast Fourier Transform (FFT)
  59. 5.10: Spectrograms
  60. 5.11: Discrete-Time Systems
  61. 5.12: Discrete-Time Systems in the Time-Domain
  62. 5.13: Discrete -Time Systems in the Frequency Domain
  63. 5.14: Filtering in the Frequency Domain
  64. 5.15: Efficiency of Frequency - Domain Filtering
  65. 5.16: Discrete -Time Filtering of Analog Signals
  66. 5.17: Digital Signal Processing Problems
  67. 06: Information Communication
  68. 6.01: Information Communication
  69. 6.02: Types of Communication Channels
  70. 6.03: Wireline Channels
  71. 6.04: Wireless Channels
  72. 6.05: Line-of-Sight Transmission
  73. 6.06: The Ionosphere and Communications
  74. 6.07: Communication with Satellites
  75. 6.08: Noise and Interference
  76. 6.09: Channel Models
  77. 6.10: Baseband Communication
  78. 6.11: Modulated Communication
  79. 6.12: Signal-to-Noise Ratio of an Amplitude-Modulated Signal
  80. 6.13: Digital Communication
  81. 6.14: Binary Phase Shift Keying
  82. 6.15: Frequency Shift Keying
  83. 6.16: Digital Communication Receivers
  84. 6.17: Digital Communication in the Presence of Noise
  85. 6.18: Digital Communication System Properties
  86. 6.19: Digital Channels
  87. 6.20: Entropy
  88. 6.21: Source Coding Theorem
  89. 6.22: Compression and the Huffman Code
  90. 6.23: Subtlies of Coding
  91. 6.24: Channel Coding
  92. 6.25: Repetition Codes
  93. 6.26: Block Channel Coding
  94. 6.27: Error-Correcting Codes - Hamming Distance
  95. 6.28: Error-Correcting Codes - Channel Decoding
  96. 6.29: Error-Correcting Codes - Hamming Codes
  97. 6.30: Noisy Channel Coding Theorem
  98. 6.31: Capacity of a Channel
  99. 6.32: Comparison of Analog and Digital Communication
  100. 6.33: Communication Networks
  101. 6.34: Message Routing
  102. 6.35: Network architectures and interconnection
  103. 6.36: Ethernet
  104. 6.37: Communication Protocols
  105. 6.38: Information Communication Problems
  106. 07: Appendix
  107. 7.01: Decibels
  108. 7.02: Permutations and Combinations
  109. 7.03: Frequency Allocations
  110. 7.04: Parseval's Theorem
  111. 7.05: Fourier Transform Properties