Analog-to-Digital conversion methods: In practical digital signal processing systems, the successive-approximation (SAR) technique is widely used for A/D conversion due to its balance of speed, accuracy, and cost. Evaluate this statement.

Difficulty: Easy

Correct Answer: Correct

Explanation:


Introduction / Context:
SAR (successive-approximation register) analog-to-digital converters are prevalent in embedded, instrumentation, and industrial control applications. This question tests recognition of why SAR ADCs are considered the default choice in many mixed-signal designs.


Given Data / Assumptions:

  • SAR ADCs provide moderate-to-high resolution (typically 8–18 bits).
  • They offer good sampling speeds (from tens of kS/s to several MS/s).
  • Cost, power, and footprint must be reasonable for widespread use.


Concept / Approach:
A SAR ADC performs a binary search using a DAC, comparator, and control logic. At each comparison step, it narrows the error until the digital code matches the analog input within one LSB. This process achieves fast conversions without the complexity and power of flash ADCs and without the slower throughput of integrating (dual-slope) techniques.


Step-by-Step Solution:
Identify trade-offs across ADC families: flash (fast, power-hungry), pipeline (very fast, higher latency), integrating (accurate average, slower), delta-sigma (high resolution, limited bandwidth), SAR (balanced).Match common system needs (sensor interfaces, data acquisition) to SAR's strengths.Conclude that SAR is broadly adopted due to versatility.


Verification / Alternative check:
Survey typical microcontroller and data acquisition IC catalogs: most general-purpose ADC offerings are SAR, confirming market prevalence for mid-speed, mid-to-high resolution tasks.


Why Other Options Are Wrong:
Limiting SAR to low resolution, audio-only, or very low rates ignores modern SAR performance. The statement is not restricted to those cases.


Common Pitfalls:
Assuming “fastest” equals “most used.” Flash/pipeline may be faster but are not as broadly practical due to cost/power.


Final Answer:
Correct

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