Spectral flatness refers to the measure of how uniformly energy is distributed in the frequency domain of a signal or its time-frequency representation. A high spectral flatness indicates a uniform energy distribution, while a low spectral flatness suggests concentrated energy in …

flatness = spectralFlatness(x,f) returns the spectral flatness of the signal, x, over time. How the function interprets x depends on the shape of f. flatness = spectralFlatness(x,f,Name=Value) specifies options using one or more name-value arguments.

Spectral flatness (or tonality coefficient) is a measure to quantify how much noise-like a sound is, as opposed to being tone-like 1. A high spectral flatness (closer to 1.0) indicates the spectrum is similar to white noise. It is often converted to decibel.

The spectral flatness (also known as Weiner Entropy) is simply a measure of the 'peakiness' of a vector. This source seems to indicate that the vector under consideration is the power spectral density, in which case you have to square.

Spectral flatness is an indication of the peakiness of the spectrum. A higher spectral flatness indicates noise, while a lower spectral flatness indicates tonality.

This algorithm computes the flatness of an array, which is defined as the ratio between the geometric mean and the arithmetic mean converted to dB scale. Specifically, it can be used to compute spectral flatness [1,2], which is a measure of …

2009年12月1日 · Spectral flatness is a feature of acoustic signals that has been useful in many audio signal processing applications. The traditional definition of spectral flatness is the ratio of the...

In this paper, we propose a method for detecting oscillations based on the flatness of the spectrum as opposed to the magnitude of its energy. It is shown that the proposed method is effective at detecting oscillations irrespective of a changing magnitude of input broadband noise.

2009年11月5日 · Spectral flatness is a feature of acoustic signals that has been useful in many audio signal processing applications. The traditional definition of spectral flatness is the ratio of the geometric mean to the arithmetic mean of the magnitude spectrum of the signal, as …

In Wi-Fi 7, defined by the IEEE 802.11be standard, spectral flatness is an important parameter that ensures the uniformity of signal power distribution across the channel bandwidth. This is crucial for maintaining signal integrity, especially in high data rate transmissions that WiFi 7 …