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- 9.2: Chapter 2 Supplementary Reading Materials
- 9.2.1: Discrete-Time Signal Processing
- 9.2.1.1: Introduction to Digital Signal Processing
- 9.2.1.2: The Sampling Theorem
- 9.2.1.3: Amplitude Quantization
- 9.2.1.4: Discrete -Time Signals and Systems
- 9.2.2: Analog-to-Digital-to-Analog Conversion
- 9.2.2.1: Introduction to Analog to Digital to Analog Conversion
- 9.2.2.2: The Sampling Theorem
- 9.2.2.3: Resolution and Sampling Rate
- 9.2.2.4: Digital-to-Analog Conversion Techniques
- 9.2.2.5: Analog-to-Digital Conversion
- 9.2.2.6: Extended Topic - Digital Signal Processing
- 9.2.2.7: Summary
- 9.2.2.8: Problems
- 9.2.3: Sampling and Reconstruction
- 9.2.3.1: Signal Sampling
- 9.2.3.2: Sampling Theorem
- 9.2.3.3: Signal Reconstruction
- 9.2.3.4: Perfect Reconstruction
- 9.2.3.5: Aliasing Phenomena
- 9.2.3.6: Anti-Aliasing Filters
- 9.2.3.7: Discrete Time Processing of Continuous Time Signals
- 9.6: Chapter 6 Supplementary Reading Materials
- 9.6.1: Introduction to the Frequency Domain
- 9.6.2: Complex Fourier Series
- 9.6.3: Classic Fourier Series
- 9.6.4: Fourier Series Approximation of Signals
- 9.6.5: Fourier Transform
- 9.6.6: Sampling and Reconstruction
- 9.6.6.1: Signal Sampling
- 9.6.6.2: Sampling Theorem
- 9.6.6.3: Signal Reconstruction
- 9.6.6.4: Perfect Reconstruction
- 9.6.6.5: Aliasing Phenomena
- 9.6.6.6: Anti-Aliasing Filters
- 9.6.6.7: Discrete Time Processing of Continuous Time Signals
9: Supplementary Material Section is shared under a not declared license and was authored, remixed, and/or curated by LibreTexts.
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