Principles of digital communication: Signal representation, detection, estimation and information coding
Abstract
The basic principles of coding, modulation, detection, and information processing required to understand and appreciate modern digital communication systems are discussed. The book starts with the mathematical and conceptual background for random signals and Gaussian-derived processes, and then discusses the digital representation of signals, optimum detection and estimation, and error-correcting codes. A chapter on information theory includes a discussion on the evaluation of practical communication systems.
- Publication:
-
NASA STI/Recon Technical Report A
- Pub Date:
- 1986
- Bibcode:
- 1986STIA...8719602D
- Keywords:
-
- Communication Theory;
- Digital Systems;
- Pulse Communication;
- Binary Codes;
- Channel Capacity;
- Channel Noise;
- Data Sampling;
- Error Correcting Codes;
- Field Theory (Algebra);
- Harmonic Analysis;
- Information Theory;
- Parameter Identification;
- Power Spectra;
- Pulse Code Modulation;
- Random Processes;
- Signal Encoding;
- Spectral Methods;
- Stochastic Processes;
- Voice Data Processing;
- Communications and Radar