#include <memory_resource>
#include <nk/value/value.hpp>
#include <tuple>

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Functions
std::tuple< Value, Value, Value >	nk::signal::levinson (const Value &r, int n=-1, std::pmr::memory_resource *mr=nullptr)
	Levinson-Durbin recursion: solve a Hermitian Toeplitz system.
std::tuple< Value, Value >	nk::signal::rlevinson (const Value &a, double efinal, std::pmr::memory_resource *mr=nullptr)
	Inverse Levinson recursion: recover autocorrelation from AR poly.
std::tuple< Value, Value, Value >	nk::signal::aryule (const Value &x, int p, std::pmr::memory_resource *mr=nullptr)
	Yule-Walker AR(p) parameter estimation.
std::tuple< Value, Value, Value >	nk::signal::arburg (const Value &x, int p, std::pmr::memory_resource *mr=nullptr)
	Burg's AR(p) parameter estimation.
std::tuple< Value, Value >	nk::signal::lpc (const Value &x, int p, std::pmr::memory_resource *mr=nullptr)
	Linear-prediction coefficients (aryule alias + sqrt-error gain).
std::tuple< Value, Value >	nk::signal::ac2poly (const Value &R, std::pmr::memory_resource *mr=nullptr)
	Autocorrelation → AR poly (composes levinson).
Value	nk::signal::poly2ac (const Value &a, double e, std::pmr::memory_resource *mr=nullptr)
	AR poly + prediction error → autocorrelation.
std::tuple< Value, Value >	nk::signal::ac2rc (const Value &R, std::pmr::memory_resource *mr=nullptr)
	Autocorrelation → reflection coefficients.
Value	nk::signal::schurrc (const Value &R, std::pmr::memory_resource *mr=nullptr)
	Schur reflection coefficients from autocorrelation.
Value	nk::signal::rc2ac (const Value &k, double r0, std::pmr::memory_resource *mr=nullptr)
	Reflection coefficients + r[0] → autocorrelation.
std::tuple< Value, Value >	nk::signal::poly2rc (const Value &a, double efinal=0.0, std::pmr::memory_resource *mr=nullptr)
	AR poly → reflection coefficients (step-down recursion).
std::tuple< Value, Value >	nk::signal::rc2poly (const Value &k, double r0=1.0, std::pmr::memory_resource *mr=nullptr)
	Reflection coefficients → AR poly (step-up recursion).
Value	nk::signal::is2rc (const Value &is, std::pmr::memory_resource *mr=nullptr)
	Inverse-sine parameterisation → reflection coefficients.
Value	nk::signal::rc2is (const Value &k, std::pmr::memory_resource *mr=nullptr)
	Reflection coefficients → inverse-sine parameterisation.
Value	nk::signal::lar2rc (const Value &g, std::pmr::memory_resource *mr=nullptr)
	Log-area-ratio → reflection coefficients.
Value	nk::signal::rc2lar (const Value &k, std::pmr::memory_resource *mr=nullptr)
	Reflection coefficients → log-area-ratio.
std::tuple< Value, Value >	nk::signal::arcov (const Value &x, int p, std::pmr::memory_resource *mr=nullptr)
	Covariance method AR estimation.
std::tuple< Value, Value >	nk::signal::armcov (const Value &x, int p, std::pmr::memory_resource *mr=nullptr)
	Modified-covariance AR estimation.
std::tuple< Value, Value >	nk::signal::prony (const Value &h, int nb, int na, std::pmr::memory_resource *mr=nullptr)
	Prony IIR identification from impulse response.
std::tuple< Value, Value >	nk::signal::stmcb (const Value &h, int nb, int na, int niter=5, std::pmr::memory_resource *mr=nullptr)
	Steiglitz–McBride IIR identification ([b, a] = stmcb(h, nb, na, niter)).
Value	nk::signal::corrmtx (const Value &x, int m, std::pmr::memory_resource *mr=nullptr)
	Generate the autocorrelation data matrix.
std::tuple< Value, Value >	nk::signal::pmusic (const Value &x, int p, int nfft=256, double fs=2.0 3.14159265358979323846, std::pmr::memory_resource mr=nullptr)
	MUSIC pseudospectrum ([P, F] = pmusic(x, p, nfft, fs)).
std::tuple< Value, Value >	nk::signal::peig (const Value &x, int p, int nfft=256, double fs=2.0 3.14159265358979323846, std::pmr::memory_resource mr=nullptr)
	Eigenvector pseudospectrum ([P, F] = peig(x, p, nfft, fs)).
Value	nk::signal::poly2lsf (const Value &a, std::pmr::memory_resource *mr=nullptr)
	AR poly → line-spectral frequencies (radians).
Value	nk::signal::lsf2poly (const Value &lsf, std::pmr::memory_resource *mr=nullptr)
	Line-spectral frequencies → AR poly.
std::tuple< Value, Value >	nk::signal::invfreqs (const Value &H, const Value &w, int nb, int na, std::pmr::memory_resource *mr=nullptr)
	Fit analog filter to a frequency response (Levi equation-error LSQ).
std::tuple< Value, Value >	nk::signal::invfreqz (const Value &H, const Value &w, int nb, int na, std::pmr::memory_resource *mr=nullptr)
	Digital counterpart of invfreqs.

Functions