SNR Calculator

Are you trying to analyze a signal but can't seem to separate it from the surrounding noise? Look no further than our SNR (Signal-to-Noise Ratio) Calculator! With this nifty tool, you can determine the ratio of your signal's power to the surrounding noise power, giving you a clearer understanding of the signal's strength and quality. Whether you're working in audio production, telecommunications, or scientific research, our SNR Calculator is an essential tool to have in your arsenal. So why wait? Give our SNR Calculator a try and take your signal analysis to the next level!

SNR Calculator

Calculate the Signal-to-Noise Ratio (SNR)

SNR Calculator Results
Signal Power:0
Noise Power:0
Signal Unit:Milliwatts
Noise Unit:Milliwatts

How to Use the SNR Calculator

The SNR Calculator is a handy tool for calculating the Signal-to-Noise Ratio (SNR). The SNR is a measure of the strength of a desired signal relative to the background noise. It is widely used in various fields, including telecommunications, electronics, and audio engineering, to evaluate and optimize signal quality.

Instructions for Utilizing the Calculator

To effectively utilize the SNR Calculator, follow these steps:

  • Signal Power: Enter the power of the desired signal in decibels (dB). The signal power represents the strength of the signal you want to measure or analyze.
  • Noise Power: Input the power of the background noise in decibels (dB). The noise power represents the unwanted or interfering signals or disturbances present in the system.
  • Signal Unit: Choose the appropriate unit for the signal power. You can select from Milliwatts, Watts, or Volts. This selection helps in converting the signal power to a consistent unit for calculation.
  • Noise Unit: Select the unit corresponding to the noise power. Similar to the signal unit, you can choose from Milliwatts, Watts, or Volts to ensure consistent unit conversion.
  • Bandwidth: Specify the bandwidth of the signal in hertz (Hz). The bandwidth represents the range of frequencies over which the signal is transmitted or analyzed.
  • Calculate SNR: Click the Calculate SNR button to obtain the SNR value.

SNR Calculator Formula

The SNR can be calculated using the following formula:

SNR = (Signal Power / Noise Power) * Bandwidth

In this formula, the signal power and noise power should be in the same units (milliwatts, watts, or volts), and the result will be in SNR units per hertz (SNR/Hz).

Illustrative Examples

Let's consider a couple of examples to demonstrate the application of the SNR Calculator:

  • Example 1:
    • Signal Power: 10 dB
    • Noise Power: 20 dB
    • Signal Unit: Milliwatts
    • Noise Unit: Milliwatts
    • Bandwidth: 100 Hz

After inputting these values and calculating the SNR, the result shows an SNR value of 0.1 SNR/Hz. This indicates a relatively low SNR, implying that the desired signal is weak compared to the background noise.

  • Example 2:
    • Signal Power: 40 dB
    • Noise Power: 30 dB
    • Signal Unit: Watts
    • Noise Unit: Watts
    • Bandwidth: 1000 Hz

For this example, the calculated SNR is 10 SNR/Hz, indicating a higher SNR value. It implies that the desired signal is strong and well above the background noise level.

These examples demonstrate how different input parameters can lead to varied SNR calculations, allowing you to assess and optimize signal quality based on the calculated SNR values.

Illustrative Table Example

Here is an illustrative table showcasing multiple rows of example data and their corresponding SNR calculations using the SNR Calculator:

Signal Power (dB)

Noise Power (dB)

Signal Unit

Noise Unit

Bandwidth (Hz)



This table demonstrates how different input parameters can lead to varied SNR calculations, allowing you to evaluate and optimize signal quality in different scenarios.

The SNR Calculator is a valuable tool for calculating the Signal-to-Noise Ratio (SNR) and assessing the quality of a desired signal relative to background noise. By inputting the signal power, noise power, signal unit, noise unit, and bandwidth, you can obtain the SNR value, which helps in evaluating the strength and quality of the signal. Understanding the SNR enables engineers, technicians, and researchers to make informed decisions regarding signal processing, system design, and optimization for various applications.

About the Author

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Shuvo Shaha
Python Developer

Shuvo Shaha is a skilled Python developer with expertise in developing efficient and user-friendly web applications. He is passionate about writing clean and maintainable code and is always exploring new technologies to improve his skills. With a strong background in computer science, Shuvo has experience working with a variety of frameworks and libraries, including Django and Flask. He is a collaborative team player who is dedicated to delivering high-quality work on time and on budget.