SparseFFTConfig

Struct SparseFFTConfig 

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pub struct SparseFFTConfig {
Show 13 fields pub estimation_method: SparsityEstimationMethod, pub sparsity: usize, pub algorithm: SparseFFTAlgorithm, pub threshold: f64, pub iterations: usize, pub seed: Option<u64>, pub max_signal_size: usize, pub adaptivity_factor: f64, pub pruning_sensitivity: f64, pub flatness_threshold: f64, pub window_size: usize, pub window_function: WindowFunction, pub kaiser_beta: f64,
}
Expand description

Sparse FFT configuration

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§estimation_method: SparsityEstimationMethod

The sparsity estimation method

§sparsity: usize

Expected sparsity (k) - number of significant frequency components

§algorithm: SparseFFTAlgorithm

Algorithm variant to use

§threshold: f64

Threshold for frequency coefficient significance (when using threshold method)

§iterations: usize

Number of iterations for iterative methods

§seed: Option<u64>

Random seed for probabilistic algorithms

§max_signal_size: usize

Maximum signal size to process (to prevent test timeouts)

§adaptivity_factor: f64

Adaptivity parameter (controls how aggressive adaptivity is)

§pruning_sensitivity: f64

Pruning parameter (controls sensitivity of frequency pruning)

§flatness_threshold: f64

Spectral flatness threshold (0-1, lower values = more selective)

§window_size: usize

Analysis window size for spectral flatness calculations

§window_function: WindowFunction

Window function to apply before FFT

§kaiser_beta: f64

Kaiser window beta parameter (when using Kaiser window)

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impl Clone for SparseFFTConfig

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fn clone(&self) -> SparseFFTConfig

Returns a duplicate of the value. Read more
1.0.0 · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for SparseFFTConfig

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Default for SparseFFTConfig

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fn default() -> Self

Returns the “default value” for a type. Read more

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🔬This is a nightly-only experimental API. (clone_to_uninit)
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