A set of functions are presented for Octave/MATLAB that allow easy, consistent, and properly scaled DFT/FFT analysis of signals and noise. The techniques and functions presented are easily translated ...

Wireless networks are everywhere, both indoors and outdoors. As demand for mobile bandwidth increases, wireless and cellular networks are adding more and more access points, particularly inside ...

All wireless connectivity is based on electromagnetic frequencies, with different parts of the frequency spectrum being used for different purposes, such as 5G or 2G. The precise way in which this is ...

The key parameters of the FSS technique and their impact on EMI performance. How to evaluate FSS performance using simulation, ICs, and a signal generator. Frequency spread spectrum (FSS) is a ...

A Rydberg receiver and spectrum analyzer detects a wide range of real-world radio frequency signals above a microwave circuit including AM radio, FM radio, Wi-Fi and Bluetooth.A new quantum sensor can ...

In telecommunications, the term "spectrum” refers to a range of radio waves used for communication purposes – comprising of radio and microwave frequencies. Radio frequencies are used for a wide ...

Modern oscilloscopes capture, view, measure, and analyze complex RF signals in the time, frequency, and modulation domains. Time-domain analysis, the original oscilloscope function, allows users to ...

Frequency spectrum is one natural resource which all countries have been blessed with equitably. Mobile networks work on spectrum allocated either through a bidding process or through licenses granted ...