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(Complete Item Description)
- Abstract:
Exact analysis of quantization errors is difficult because quantization is highly nonlinear. Approximating quantization errors as independent, additive white Gaussian noise processes makes analysis tractable and generally leads to fairly accurate results. Dithering can be used to make these approximations more accurate.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
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(Complete Item Description)
- Abstract:
Subject provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Includes spectral analysis, filter design, system identification, simulation in continuous and discrete-time domains. Emphasis on practical problems with laboratory exercises. Subject is designated as a d'Arbeloff Laboratory "gateway" subject.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
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