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SpectralAnalyzer

numrs2::new_modules::spectral_analysis

Struct SpectralAnalyzer 

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pub struct SpectralAnalyzer;
Expand description

Advanced spectral analysis engine

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impl SpectralAnalyzer

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pub fn find_peaks<T>( spectrum: &Array<T>, frequencies: &Array<T>, height: Option<T>, distance: Option<usize>, prominence: Option<T>, width: Option<T>, ) -> Result<PeakResult<T>>
where T: Float + Clone + Debug + Into<f64> + From<f64> + Sum,

Detect spectral peaks in a power spectrum

§Parameters
  • spectrum - Power spectrum
  • frequencies - Corresponding frequencies
  • height - Minimum peak height
  • distance - Minimum distance between peaks (in bins)
  • prominence - Minimum peak prominence
  • width - Minimum peak width
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pub fn harmonic_analysis<T>( spectrum: &Array<T>, frequencies: &Array<T>, max_harmonics: usize, tolerance: T, ) -> Result<HarmonicResult<T>>
where T: Float + Clone + Debug + Into<f64> + From<f64> + Sum,

Perform harmonic analysis to detect fundamental frequency and harmonics

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pub fn stft<T>( signal: &Array<T>, window_size: usize, hop_size: usize, window_type: &str, zero_pad: bool, ) -> Result<STFTResult<T>>
where T: Float + Clone + Debug + Into<f64> + From<f64> + Sum,

Compute Short-Time Fourier Transform (STFT)

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pub fn instantaneous_frequency<T>( complex_signal: &Array<Complex<T>>, ) -> Result<Array<T>>
where T: Float + Clone + Debug + Into<f64> + From<f64> + Sum,

Compute instantaneous frequency using phase differences

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pub fn spectral_centroid<T>( spectrum: &Array<T>, frequencies: &Array<T>, ) -> Result<T>
where T: Float + Clone + Debug + Sum,

Compute spectral centroid (center of mass of spectrum)

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pub fn spectral_rolloff<T>( spectrum: &Array<T>, frequencies: &Array<T>, percentage: T, ) -> Result<T>
where T: Float + Clone + Debug + Sum,

Compute spectral rolloff (frequency below which a specified percentage of total energy is contained)

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pub fn spectral_bandwidth<T>( spectrum: &Array<T>, frequencies: &Array<T>, ) -> Result<T>
where T: Float + Clone + Debug + Sum,

Compute spectral bandwidth

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pub fn spectral_flatness<T>(spectrum: &Array<T>) -> Result<T>
where T: Float + Clone + Debug + Into<f64> + From<f64> + Sum,

Compute spectral flatness (Wiener entropy)

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pub fn mfcc<T>( spectrum: &Array<T>, sample_rate: T, n_mfcc: usize, n_mels: usize, fmin: T, fmax: T, ) -> Result<Array<T>>
where T: Float + Clone + Debug + Into<f64> + From<f64> + Sum,

Compute Mel-frequency cepstral coefficients (MFCCs)

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