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Question

Signal to Noise Ratio (SNR) in dB is equal to

The correct answer is

10 log 10 (Signal energy/Noise energy)

Signal to Noise Ratio (SNR) Explained

The Signal to Noise Ratio (SNR) is a critical measure used across various engineering and scientific disciplines, such as telecommunications, audio processing, and image analysis. It quantifies the strength of a desired signal relative to the level of background noise. In simpler terms, SNR tells us how much the useful signal stands out from unwanted interference. A higher SNR value generally means a clearer, higher-quality signal with less distortion or corruption by noise, which is highly desirable for system performance and data integrity.

Understanding Decibels (dB) for SNR

SNR is very frequently expressed in decibels (dB). This logarithmic unit is used because the range of signal and noise power or energy values encountered in real-world systems can be extremely wide. Expressing these ratios on a logarithmic scale, such as decibels, makes it much easier to represent, compare, and calculate over a vast dynamic range. It condenses large numerical variations into a more manageable and linear scale, simplifying analysis and design processes.

Formula for Signal to Noise Ratio (SNR) in dB

When calculating the Signal to Noise Ratio (SNR) in decibels (dB), it's crucial to distinguish between power/energy ratios and amplitude/voltage ratios. The question specifically asks about "Signal energy/Noise energy", which refers to an energy ratio (or equivalently, a power ratio, since energy is power multiplied by time).

For power or energy ratios, the standard formula for SNR in dB uses a base-10 logarithm and a multiplier of 10. This is because decibels inherently represent a power gain or loss relative to a reference level.

The formula for SNR in dB when dealing with power or energy is:

\[ \text{SNR}_{\text{dB}} = 10 \log_{10} \left( \frac{\text{Signal Power}}{\text{Noise Power}} \right) \]

Since energy is directly proportional to power over a consistent duration, the same formula applies directly to energy ratios:

\[ \text{SNR}_{\text{dB}} = 10 \log_{10} \left( \frac{\text{Signal Energy}}{\text{Noise Energy}} \right) \]

It's important to remember that if the ratio were based on amplitude or voltage (e.g., in terms of voltage levels across an impedance), the multiplier would be 20. This is because power is proportional to the square of voltage or amplitude (\(P \propto V^2\)). In such cases, the formula would be:

\[ \text{SNR}_{\text{dB}} = 20 \log_{10} \left( \frac{\text{Signal Voltage}}{\text{Noise Voltage}} \right) \]

However, as the question clearly specifies "Signal energy/Noise energy", the first formula with the multiplier 10 is the correct one to apply.

Analyzing the Options for SNR in dB

Let's evaluate each provided option based on the correct formula for Signal to Noise Ratio (SNR) in dB using energy ratios:

  • Option 1: \(\text{10 log}_{10} (\text{Signal energy}/\text{Noise energy})\)
    This option accurately represents the standard formula for Signal to Noise Ratio (SNR) in decibels (dB) when the comparison is based on energy or power. It correctly uses a multiplier of 10 and a base-10 logarithm, which are fundamental for decibel calculations concerning power or energy ratios.
  • Option 2: \(\text{20 log}_{10} (\text{Signal energy}/\text{Noise energy})\)
    This option is incorrect because the multiplier 20 is used exclusively for amplitude or voltage ratios, not for energy or power ratios. Although the logarithm base 10 is correct for decibels, the incorrect multiplier makes this formula unsuitable for energy ratios.
  • Option 3: \(\text{10 log}_{e} (\text{Signal energy}/\text{Noise energy})\)
    This option is incorrect due to the use of 'e' as the logarithm base (natural logarithm). Decibel calculations fundamentally rely on a base-10 logarithm, not the natural logarithm. While the multiplier 10 is correct for energy ratios, the incorrect base invalidates this formula for dB.
  • Option 4: \(\text{20 log}_{e} (\text{Signal energy}/\text{Noise energy})\)
    This option is incorrect on two counts. Firstly, the multiplier 20 is erroneous for energy ratios, as it is meant for amplitude or voltage ratios. Secondly, using 'e' as the logarithm base is also incorrect, as decibel measurements always require a base-10 logarithm.

Conclusion on Signal to Noise Ratio (SNR) Calculation

Based on the principles of decibel calculations for power and energy ratios, the precise formula for Signal to Noise Ratio (SNR) in dB when considering "Signal energy/Noise energy" is \(10 \log_{10} (\text{Signal energy}/\text{Noise energy})\).

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Important Questions from Introduction To Signals and Systems

  1. All energy signals will have an average Power of

  2. Arrange the following system types in ascending order of their intersection with 0 dB axis.

    A. Type N system

    B. Type 3 system

    C. Type 2 system

    D. Type 4 system

    Choose the correct answer from the options given below

  3. Given below are two statements

    Statement I: The scaling theorem relates scale changes in frequency domain to the consequent changes in scale in the time domain.

    Statement II: The scaling theorem is not applicable to an impulse signal.

    In light of the above statements, choose the correct answer from the options given below

  4. The period of the signal X(t) = cos (2 πt) cos (4 πt) – sin (2πt) sin (4πt) is

  5. The time period of a 50 kHz sine wave is

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