Evaluating Noise Sources By Gaussian Distribution

June 16, 2006
A typical Gaussian distribution is generally plotted with the number of sigma, or standard deviations, shown on the horizontal (X) axis (see figure, left). When measuring the performance of a noise generator, a critical factor in assessing its ...

A typical Gaussian distribution is generally plotted with the number of sigma, or standard deviations, shown on the horizontal (X) axis (see figure, left). When measuring the performance of a noise generator, a critical factor in assessing its usefulness is to compare its distribution with that of the ideal mathematical distribution shown above. Using the histogram feature on a spectrum analyzer makes it possible to assess the "Gaussian behavior" of the source under test. Such a histogram (see figure, right) was used to show recorded hits over time superimposed over the time-domain profile of a noise source. The peak-to-peak variation measured over time allows one to establish the "peak factor"—a measure of how many standard deviations the source reaches. Other factors, such as symmetry about the mean and distribution within the standard deviations, can also be analyzed to determine the Gaussian quality of a noise source under test.

Sponsored Recommendations

UHF to mmWave Cavity Filter Solutions

April 12, 2024
Cavity filters achieve much higher Q, steeper rejection skirts, and higher power handling than other filter technologies, such as ceramic resonator filters, and are utilized where...

Wideband MMIC Variable Gain Amplifier

April 12, 2024
The PVGA-273+ low noise, variable gain MMIC amplifier features an NF of 2.6 dB, 13.9 dB gain, +15 dBm P1dB, and +29 dBm OIP3. This VGA affords a gain control range of 30 dB with...

Fast-Switching GaAs Switches Are a High-Performance, Low-Cost Alternative to SOI

April 12, 2024
While many MMIC switch designs have gravitated toward Silicon-on-Insulator (SOI) technology due to its ability to achieve fast switching, high power handling and wide bandwidths...

Request a free Micro 3D Printed sample part

April 11, 2024
The best way to understand the part quality we can achieve is by seeing it first-hand. Request a free 3D printed high-precision sample part.