# spectralCrest

Spectral crest for signals and spectrograms

## Description

example

crest = spectralCrest(x,f) returns the spectral crest of the signal, x, over time. How the function interprets x depends on the shape of f.

example

crest = spectralCrest(x,f,Name=Value) specifies options using one or more name-value arguments.

[crest,spectralPeak,spectralMean] = spectralCrest(___) returns the spectral peak and spectral mean. You can specify an input combination from any of the previous syntaxes.

example

spectralCrest(___) with no output arguments plots the spectral crest.

• If the input is in the time domain, the spectral crest is plotted against time.

• If the input is in the frequency domain, the spectral crest is plotted against frame number.

## Examples

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Create a chirp signal with white Gaussian noise and calculate the crest using default parameters.

fs = 1000;
t = (0:1/fs:10)';
f1 = 300;
f2 = 400;
x = chirp(t,f1,10,f2) + randn(length(t),1);

crest = spectralCrest(x,fs);

Plot the spectral crest against time.

spectralCrest(x,fs)

Create a chirp signal with white Gaussian noise and then calculate the spectrogram using the stft function.

fs = 1000;
t = (0:1/fs:10)';
f1 = 300;
f2 = 400;
x = chirp(t,f1,10,f2) + randn(length(t),1);

[s,f] = stft(x,fs,FrequencyRange="onesided");
s = abs(s).^2;

Calculate the crest of the spectrogram over time.

crest = spectralCrest(s,f);

Plot the spectral crest against the frame number.

spectralCrest(s,f)

Create a chirp signal with white Gaussian noise.

fs = 1000;
t = (0:1/fs:10)';
f1 = 300;
f2 = 400;
x = chirp(t,f1,10,f2) + randn(length(t),1);

Calculate the crest of the power spectrum over time. Calculate the crest for 50 ms Hamming windows of data with 25 ms overlap. Use the range from 62.5 Hz to fs/2 for the crest calculation.

crest = spectralCrest(x,fs, ...
Window=hamming(round(0.05*fs)), ...
OverlapLength=round(0.025*fs), ...
Range=[62.5,fs/2]);

Plot the crest against time.

spectralCrest(x,fs, ...
Window=hamming(round(0.05*fs)), ...
OverlapLength=round(0.025*fs), ...
Range=[62.5,fs/2])

## Input Arguments

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Input signal, specified as a vector, matrix, or 3-D array. How the function interprets x depends on the shape of f.

Data Types: single | double

Sample rate or frequency vector in Hz, specified as a scalar or vector, respectively. How the function interprets x depends on the shape of f:

• If f is a scalar, x is interpreted as a time-domain signal, and f is interpreted as the sample rate. In this case, x must be a real vector or matrix. If x is specified as a matrix, the columns are interpreted as individual channels.

• If f is a vector, x is interpreted as a frequency-domain signal, and f is interpreted as the frequencies, in Hz, corresponding to the rows of x. In this case, x must be a real L-by-M-by-N array, where L is the number of spectral values at given frequencies of f, M is the number of individual spectra, and N is the number of channels.

• The number of rows of x, L, must be equal to the number of elements of f.

Data Types: single | double

### Name-Value Arguments

Specify optional pairs of arguments as Name1=Value1,...,NameN=ValueN, where Name is the argument name and Value is the corresponding value. Name-value arguments must appear after other arguments, but the order of the pairs does not matter.

Before R2021a, use commas to separate each name and value, and enclose Name in quotes.

Example: Window=hamming(256)

Note

The following name-value arguments apply if x is a time-domain signal. If x is a frequency-domain signal, name-value arguments are ignored.

Window applied in the time domain, specified as a real vector. The number of elements in the vector must be in the range [1, size(x,1)]. The number of elements in the vector must also be greater than OverlapLength.

Data Types: single | double

Number of samples overlapped between adjacent windows, specified as an integer in the range [0, size(Window,1)).

Data Types: single | double

Number of bins used to calculate the DFT of windowed input samples, specified as a positive scalar integer. If unspecified, FFTLength defaults to the number of elements in the Window.

Data Types: single | double

Frequency range in Hz, specified as a two-element row vector of increasing real values in the range [0, f/2].

Data Types: single | double

Spectrum type, specified as "power" or "magnitude":

• "power" –– The spectral crest is calculated for the one-sided power spectrum.

• "magnitude" –– The spectral crest is calculated for the one-sided magnitude spectrum.

Data Types: char | string

## Output Arguments

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Spectral crest, returned as a scalar, vector, or matrix. Each row of crest corresponds to the spectral crest of a window of x. Each column of crest corresponds to an independent channel.

Spectral peak, returned as a scalar, vector, or matrix. Each row of spectralPeak corresponds to the spectral crest of a window of x. Each column of spectralPeak corresponds to an independent channel.

Spectral mean, returned as a scalar, vector, or matrix. Each row of spectralMean corresponds to the spectral crest of a window of x. Each column of spectralMean corresponds to an independent channel.

## Algorithms

The spectral crest is calculated as described in [1]:

$\text{crest}=\frac{\mathrm{max}\left({s}_{k\in \left[{b}_{1},{b}_{2}\right]}\right)}{\frac{1}{{b}_{2}-{b}_{1}}\sum _{k={b}_{1}}^{{b}_{2}}{s}_{k}}$

where

• sk is the spectral value at bin k.

• b1 and b2 are the band edges, in bins, over which to calculate the spectral crest.

## References

[1] Peeters, G. "A Large Set of Audio Features for Sound Description (Similarity and Classification) in the CUIDADO Project." Technical Report; IRCAM: Paris, France, 2004.

## Version History

Introduced in R2019a