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  • What are the main technical indicators of A/D conversion?

    * Question

    What are the main technical indicators of A/D conversion?

    * Answer

    The main technical indicators of A/D (Analog-to-Digital) conversion define how accurately and efficiently an analog signal is converted into its digital representation. These indicators are crucial for selecting and evaluating ADCs (Analog-to-Digital Converters) in applications like instrumentation, control systems, audio processing, and data acquisition.

    1. Resolution

    Definition: The number of bits used to represent the analog input.

    Significance: Determines how many discrete digital values the ADC can output.

    Example: A 12-bit ADC provides 212= 4096 levels.

    Impact: Higher resolution = finer granularity = better precision.

    2. Sampling Rate (Sampling Frequency, fs)

    Definition: Number of samples taken per second, measured in samples per second (S/s or Hz).

    Significance: Affects the bandwidth and ability to track fast signal changes.

    Nyquist Criterion: Must be at least twice the highest input frequency to avoid aliasing.

    3. Input Range

    Definition: The minimum and maximum voltage levels the ADC can measure (e.g., 0–5 V).

    Impact: Input signals outside this range may be clipped or distorted.

    4. Signal-to-Noise Ratio (SNR)

    Definition: Ratio of the signal power to the noise power, usually expressed in dB.

    Formula (ideal ADC):

    SNR=6.02N+1.76 dB

    where N is the number of bits.

    Higher SNR indicates cleaner signal with less quantization or thermal noise.

    5. Effective Number of Bits (ENOB)

    Definition: The actual number of usable bits, accounting for all real-world imperfections.

    Significance: Reflects real resolution in presence of noise and non-linearity.

    6. Total Harmonic Distortion (THD)

    Definition: Measure of distortion introduced by harmonics in the digital output.

    Expressed in: dB or percent (%).

    Lower THD = better fidelity, especially for audio and RF applications.

    7. Integral Non-Linearity (INL)

    Definition: The deviation between actual and ideal ADC transfer function across the full range.

    Measured in: Least Significant Bits (LSBs).

    Impact: Affects absolute accuracy of conversion.

    8. Differential Non-Linearity (DNL)

    Definition: Difference between actual and ideal step size between adjacent codes.

    Key Risk: If DNL > 1 LSB, ADC may be non-monotonic (output can decrease when input increases).

    9. Conversion Time / Latency

    Definition: Time taken for the ADC to convert an analog input to a digital output.

    Relevant in: Real-time control and high-speed acquisition systems.

    10. Power Consumption

    Important in: Battery-powered or thermally constrained systems.

    Depends on: Resolution, sampling rate, and architecture (e.g., SAR vs. Sigma-Delta).

    Summary Table

    Indicator

    Description

    Unit

    Resolution

    Number of bits used in conversion

    bits

    Sampling Rate

    Samples per second

    Hz / S/s

    Input Range

    Voltage span accepted

    Volts (V)

    SNR

    Signal vs. noise power

    dB

    ENOB

    Effective usable bits in real-world conditions

    bits

    INL / DNL

    Linearity error metrics

    LSB

    THD

    Harmonic distortion

    dB or %

    Conversion Time

    Delay between input and output

    µs / ns

    Power Consumption

    Energy used per operation

    mW / µW

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