Noise bandwidth demonstration

    Start To launch labAlive simulation applications you need a Java Runtime Environment supporting Java Web Start on your system. Here you can get more information about installing the right Java version.

This demonstration shows example signals interfered by noise with variable bandwidth. The signal-to-noise ratio (SNR) is a measure for the signal quality. Visually evaluate the signal quality and noise bandwidth!

SNR Sine wave Audio signal
20 dB
SNR = 20 dB, sine 100 Hz, noise bandwidth 1 kHz
SNR = 20 dB, sine 100 Hz, noise bandwidth 1 kHz
10 dB
SNR = 10 dB, sine 100 Hz, noise bandwidth 1 kHz
SNR = 10 dB, sine 100 Hz, noise bandwidth 1 kHz
6 dB
SNR = 6 dB, sine 100 Hz, noise bandwidth 1 kHz
SNR = 6 dB, sine 100 Hz, noise bandwidth 1 kHz
3 dB
SNR = 3 dB, sine 100 Hz, noise bandwidth 1 kHz
SNR = 3 dB, sine 100 Hz, noise bandwidth 1 kHz
0 dB
SNR = 0 dB, sine 100 Hz, noise bandwidth 1 kHz
SNR = 0 dB, sine 100 Hz, noise bandwidth 1 kHz
Sine wave and audio signals with SNR = 20 dB, 10dB, 6 dB, 3 dB and 0 dB. Noise bandwidth is 200 Hz.
SNR demonstration application
Enter a signal-to-noise ratio (SNR) and noise bandwidth.

Enter a SNR and noise bandwidth (cutoff frequency of low-pass) and then analyze the impact of Gaussian noise on any signal.

Try out how your chosen signal will be interfered by noise depending on the noise bandwidth. Click on the start button Play Button.

Interactive options:

Note that in this simulation the noise power and SNR remains constant when the noise bandwidth (cutoff frequency of low-pass) changes.