Navigation
-
Content Actions
-
Table of Contents
-
-
Introduction
-
Signals and Systems
-
Analog Signal Processing
- Voltage, Current, and Generic Circuit Elements
- Ideal Circuit Elements
- Ideal and Real-World Circuit Elements
- Electric Circuits and Interconnection Laws
- Series and Parallel Circuits
- Equivalent Circuits: Resistors and Sources
- Circuits with Capacitors and Inductors
- The Impedance Concept
- Time and Frequency Domains
- Equivalent Circuits: Impedances and Sources
- Transfer Functions
- Designing Transfer Functions
- Formal Circuit Methods: Node Method
- Electronics
- Dependent Sources
- Operational Amplifiers
- The Diode
- Analog Signal Processing Problems
-
Frequency Domain
- Introduction to the Frequency Domain
- Classic Fourier Series
- A Signal's Spectrum
- Fourier Series Approximation of Signals
- Complex Fourier Series
- Encoding Information in the Frequency Domain
- Filtering Periodic Signals
- Derivation of the Fourier Transform
- Linear Time Invariant Systems
- Modeling the Speech Signal
- Frequency Domain Problems
-
Digital Signal Processing
- Introduction to Digital Signal Processing
- Introduction to Computer Organization
- The Sampling Theorem
- Amplitude Quantization
- Discrete-Time Signals and Systems
- Discrete-Time Fourier Transform (DTFT)
- Discrete Fourier Transforms (DFT)
- DFT: Computational Complexity
- Fast Fourier Transform (FFT)
- Spectrograms
- Discrete-Time Systems
- Discrete-Time Systems in the Time-Domain
- Discrete-Time Systems in the Frequency Domain
- Filtering in the Frequency Domain
- Efficiency of Frequency-Domain Filtering
- Discrete-Time Filtering of Analog Signals
- Digital Signal Processing Problems
-
Information Communication
- Information Communication
- Types of Communication Channels
- Wireline Channels
- Wireless Channels
- Line-of-Site Transmission
- The Ionosphere and Communications
- Communication with Satellites
- Noise and Interference
- Channel Models
- Baseband Communication
- Modulated Communication
- Signal-to-Noise Ratio of an Amplitude-Modulated Signal
- Digital Communication
- Binary Phase Shift Keying
- Frequency Shift Keying
- Digital Communication Receivers
- Digital Communication in the Presence of Noise
- Digital Communication System Properties
- Digital Channels
- Entropy
- Source Coding Theorem
- Compression and the Huffman Code
- Subtlies of Coding
- Channel Coding
- Repetition Codes
- Block Channel Coding
- Error-Correcting Codes: Hamming Distance
- Error-Correcting Codes: Channel Decoding
- Error-Correcting Codes: Hamming Codes
- Noisy Channel Coding Theorem
- Capacity of a Channel
- Comparison of Analog and Digital Communication
- Communication Networks
- Message Routing
- Network architectures and interconnection
- Ethernet
- Communication Protocols
- Information Communication Problems
-
Appendix
-
-
Recently Viewed
Fundamentals of Electrical Engineering I
Collection type: Course
Note: You are viewing an old version of this document. The latest version is available here.
Start »
Collection Properties
Summary: The course 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.
Instructor: Don Johnson
Institution: Rice University
Course Number: ELEC 241
This collection contains: Modules by: Don Johnson
Comments, questions, feedback, criticisms?
Send feedback
- E-mail the author of the collection, Fundamentals of Electrical Engineering I
Footer
More about this content: Metadata | Version History
This work is licensed by Don Johnson under a Creative Commons Attribution License (CC-BY 1.0).
Last edited by (Unknown) on Oct 16, 2003 2:17 pm GMT-5.