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Question

Using a 10‐bit conversion, the dynamic range available from an input signal sampled for 4 seconds at a sampling rate of 20 kHz is:

The correct answer is

60 dB

Calculating Dynamic Range for Digital Conversion

The dynamic range of a digital system, like an analog-to-digital converter (ADC), represents the ratio of the largest possible signal amplitude to the smallest discernible amplitude. In the context of digital audio or data acquisition, the theoretical dynamic range is primarily determined by the number of bits used in the quantization process. More bits allow for a finer resolution and therefore a larger dynamic range.

The number of bits ($n$) in the conversion directly impacts how many discrete levels are available to represent the analog signal's amplitude. The number of levels is $2^n$.

Dynamic Range Formula for n-bit Conversion

The theoretical maximum dynamic range (DR) for an n-bit digital system, specifically relating to quantization noise, can be calculated using the following formula:

$$DR \approx 20 \log_{10}(2^n)$$

This formula simplifies to:

$$DR \approx n \times 20 \log_{10}(2)$$

Since $\log_{10}(2) \approx 0.301$, the formula is often approximated as:

$$DR \approx n \times 6.02 \text{ dB}$$

This formula gives the dynamic range in decibels (dB), which is a logarithmic unit used to express ratios.

Applying the Formula to the 10-bit Conversion

The question specifies a 10-bit conversion. This means the number of bits ($n$) is 10.

Using the formula $DR \approx n \times 6.02 \text{ dB}$:

$$DR \approx 10 \times 6.02 \text{ dB}$$

$$DR \approx 60.2 \text{ dB}$$

Analyzing the Given Information

The question also mentions a sampling time of 4 seconds and a sampling rate of 20 kHz. While these parameters are crucial for understanding the total amount of data collected (total samples = sampling rate × time = 20,000 Hz × 4 s = 80,000 samples) or the maximum frequency that can be captured (Nyquist frequency = sampling rate / 2 = 10 kHz), they do not directly affect the theoretical dynamic range determined by the number of bits in the A/D conversion itself. The dynamic range based on bit depth is an intrinsic property of the converter's resolution.

Comparing with Options

Our calculated theoretical dynamic range for a 10-bit conversion is approximately 60.2 dB. Let's look at the options provided:

  • 60 dB
  • 120 dB
  • 30 dB
  • 15 dB

The value 60.2 dB is closest to 60 dB. Therefore, 60 dB is the dynamic range available from a 10-bit conversion.

Conclusion

The dynamic range available from a 10-bit conversion is approximately 60 dB. The sampling rate and duration mentioned in the question do not influence this specific calculation of theoretical dynamic range based on the number of bits.

Parameter Value Relevance to Dynamic Range (based on bits)
Number of bits ($n$) 10 Directly determines theoretical dynamic range.
Sampling Rate 20 kHz Determines maximum frequency (Nyquist) and data rate, not dynamic range based on bits.
Sampling Time 4 seconds Determines total number of samples collected, not dynamic range based on bits.

Revision Table: Key Concepts

Concept Explanation Formula/Relationship
Dynamic Range (Digital) Ratio of the loudest possible signal to the quietest discernible signal, often limited by quantization noise floor. Higher bits = Higher Dynamic Range
Number of Bits ($n$) The resolution of the digital representation; determines the number of discrete levels ($2^n$). Directly impacts dynamic range.
Quantization The process of converting continuous analog amplitude values into discrete digital levels. Introduces quantization error/noise, which limits dynamic range.
Sampling Rate How often the analog signal's amplitude is measured per second. Affects frequency range (bandwidth), not dynamic range (based on bits).

Additional Information: Factors Affecting Real-World Dynamic Range

While the formula $DR \approx 6.02 \times n \text{ dB}$ provides the theoretical maximum dynamic range based on quantization noise, the actual usable dynamic range in a real-world system can be lower due to several factors:

  • Electronic Noise: Noise inherent in the analog circuitry before and after the ADC can limit the quietest signal that can be recorded or played back, reducing the effective dynamic range.
  • Distortion: Non-linearities in the system can introduce distortion, especially at higher signal levels, which can effectively reduce the usable maximum signal level.
  • System Design: The overall design and quality of the components (amplifiers, filters, ADC chip) significantly influence the noise floor and maximum signal handling capability.

Therefore, the calculated value of 60 dB for a 10-bit conversion represents the ideal performance, limited only by quantization noise. Real-world devices might specify an effective number of bits (ENOB) or actual measured dynamic range which could be slightly less than the theoretical maximum.

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Important Questions from Data Converters

  1. Arrange the following components of dual‐slot integrating A/D converter in order of their appearance while moving from input to output stage.

    A. Comparator

    B. Control

    C. Integrator

    D. Counter

    Choose the correct answer from the options given below

  2. The number of comparators in a parallel conversion type 8-bit A to D converter is

  3. Resolution of Analog to Digital Converter ranging from -5V to +5V with 8 Bits coding is

  4. Which one of the following is an element which samples the continuous signal into sequence pulses appearing at regular interval of time?

  5. The basic circuit which converts analog to digital is ______.

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