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Electrical Engineering

Nguồn ngoài

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
Tác giả
Don Johnson
Nhà xuất bản
Rice University
Nguồn
LibreTexts
Giấy phép
CC BY
Ngôn ngữ
EN
Đọc trực tuyến Tải PDF (nguồn mở)
Mục lục· 111 mục
  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