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Rice DSS - Braille
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By: Rice University Disability Support Services"Electrical Engineering Digital Processing Systems in Braille."
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By: Connexions"This book was assembled for print in July 07. A braille version of this book is being produced also."
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- Collection Contents
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- Themes
- Signals Represent Information
- Structure of Communication Systems
- The Fundamental Signal
- Introduction Problems
- Elemental Signals
- Signal Decomposition
- Discrete-Time Signals
- Introduction to Systems
- Simple Systems
- Signals and Systems Problems
- 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
- Introduction to the Frequency Domain
- Fourier Series
- A Signal's Spectrum
- Fourier Series Approximation of Signals
- Definition of the 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
- 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
- Types of Communication Channels
- Wireline Channels
- Wireless Channels
- Line-of-Sight 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
Introduction
Signals and Systems
Analog Signal Processing
Frequency Domain
Digital Signal Processing
Information Communication
Appendix
Fundamentals of Electrical Engineering I
Collection type: Course
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This work is licensed by Don Johnson. See the Creative Commons License about permission to reuse this material.
Last edited by Raymond Wagner on Dec 6, 2007 10:55 am US/Central.