6. Analog-to-Digital Conversion (ADC)
Analog-to-Digital Converters (ADCs) play a crucial role in converting real-world analog signals into digital information suitable for various applications. Key principles of their operation include sampling, quantization, and encoding, as well as various architectures like SAR, Flash, and Sigma-Delta ADCs, each with unique performance metrics and specifications. Proper selection of ADCs is essential to balance speed, resolution, and power according to the demands of specific applications.
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What we have learnt
- ADCs are essential components that convert analog signals into digital data.
- The conversion process involves sampling, quantization, and encoding.
- Different ADC architectures offer various trade-offs in speed, resolution, and application suitability.
Key Concepts
- -- Sampling
- The process of measuring an analog signal at discrete intervals over time.
- -- Quantization
- Mapping of sampled values to a finite number of discrete levels.
- -- Encoding
- Representing quantized levels as binary numbers for digital representation.
- -- Resolution
- The number of bits in the output of an ADC, determining how fine the input range is divided.
- -- SignaltoNoise Ratio (SNR)
- The ratio of signal power to noise power, indicating accuracy levels of the ADC.
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