MATLAB高阶累积量工具箱,包含内容有： Higher-Order Spectrum Estimation: conventional methods % cum2x - Estimates cross-covariance % cum3x - Estimates third-order cross-cumulants % cum4x - Estimates fourth-order cross-cumulants % cumest - Estimates auto-cumulants, orders two, three, or four % (cum2est, cum3est, cum4est are sub-ordinate routines) % bicoher - Estimates bicoherence, direct method % bicoherx - Estimates cross-bicoherence, direct method % bispecd - Bispectrum estimation (direct method) % bispecdx - Cross-Bispectrum estimation (direct method) % bispeci - Bispectrum estimation (indirect method) % glstat - Gaussianity-Linearity detection statistics (Hinich test) % % Higher-Order Spectrum Estimation: parametric methods % armaqs - Estimates ARMA parameters via q-slice algorithm % armarts - Estimates ARMA parameters via residual time-series algorithm % armasyn - Generates ARMA synthetics % arorder - Estimates AR order % arrcest - Estimates AR parameters using correlation &/or cumulants % bispect - Theoretical bispectrum of an ARMA process % cumtrue - Computes theoretical (true) cumulants of ARMA processes % maest - Estimates MA parameters (GM algorithm) % maorder - Estimates MA order % rpiid - Generates a sequence of i.i.d. random variables, various p.d.f.'s % trispect - Computes 2-D slice of true trispectrum of ARMA process % % Quadratic Phase Coupling (QPC) % qpcgen - Generates quadratically-phase coupled harmonics in noise % qpctor - Detection of quadratic phase coupling via the TOR method % % Second-Order Volterra Systems % nlgen - Computes the output of a second-order Volterra system % nlpow - Power's method for parameters of 2nd-order Volterra system % nltick - Tick 's method for parameters of 2nd-order Volterra system % % Harmonic Retrieval % harmest - Estimates frequencies of harmonics % harmgen - Generates harmonics in Gaussian (colored) noise % % Time-Delay Estimation (TDE) % tde - Time-delay estimation using third-order cross cumulants % tdeb - Time-delay estimation using third-order cross bispectrum % tdegen - Generates synthetics for time-delay estimation % tder - Time-delay estimation using cross-correlation % % Array Processing - Direction of Arrival (DOA) estimation % doa - Estimates number of sources and their bearings (cum2 or cum4) % doagen - Synthetic generator for the DOA problem % % Adaptive Linear Prediction % ivcal - Computes instrumental variables (used by rivtr and rivdl) % rivdl - Recursive instrumental variable algorithm: double-lattice filter % rivtr - Recursive instrumental variable algorithm: transversal filter % % Impulse Response (IR), Magnitude and Phase Retrieval % biceps - Estimates impulse response via the bicepstrum method % bicepsf - Estimates impulse response via the bicepstrum (FFT) method % matul - Magnitude and phase retrieval (Matsuoka-Ulrych algorithm) % % Time-Frequency Distributions % wig2 - Wigner spectrum % wig2c - Wigner spectrum, with Choi-Williams type filtering % wig3 - Wigner bispectrum, diagonal slice % wig3c - Wigner bispectrum, with Choi-Williams type filtering % wig4 - Wigner trispectrum, diagonal slice % wig4c - Wigner trispectrum, with Choi-Williams type filtering % % Utilities % hprony - Prony's method for modeling transients % pickpeak - Picks peaks subject to a separation condition % tls - Total Least Squares Solution to a set of linear equations % trench - Trench recursion for non-symmetric Toeplitz matrices % % Demos and Quick Help % hosahelp - One-line synopsis of all HOSA mfiles % hosademo - A demo of the HOSA Toolbox

MATLAB高阶累积量工具箱-MATLAB高阶累积量工具箱.part3.rar 近日，做高阶累积量DOA估计，用到了MATLAB高阶累积量工具箱，找了半天，终于找到了，贴出来给大家分享。

MATLAB高阶累积量工具箱

matlab高阶累积量工具箱，HOSA代码包。

高阶累积量HOSA工具箱 hosa hosa\ARMAQS.M hosa\ARMARTS.M hosa\ARMASYN.M hosa\ARORDER.M hosa\ARRCEST.M hosa\BICEPS.M hosa\BICEPSF.M hosa\BICOHER.M hosa\BICOHERX.M hosa\BISPECD.M hosa\BISPECDX.M hosa\BISPECI.M hosa\BISPECT.M hosa\CONTENTS.M hosa\CUM2EST.M hosa\CUM2X.M hosa\CUM3EST.M hosa\CUM3X.M hosa\CUM4EST.M hosa\CUM4X.M hosa\CUMEST.M hosa\CUMTRUE.M hosa\DOA.M hosa\DOAGEN.M hosa\GLSTAT.M hosa\HARMEST.M hosa\HARMGEN.M hosa\HOSAHELP.M hosa\HOSAVER.M hosa\HPRONY.M hosa\INFO.XML hosa\IVCAL.M hosa\MAEST.M hosa\MAORDER.M hosa\MATUL.M hosa\NLGEN.M hosa\NLPOW.M hosa\NLTICK.M hosa\PICKPEAK.M hosa\QPCGEN.M hosa\QPCTOR.M hosa\README.M hosa\RIVDL.M hosa\RIVTR.M hosa\RPIID.M hosa\TDE.M hosa\TDEB.M hosa\TDEGEN.M hosa\TDER.M hosa\TLS.M hosa\TRENCH.M hosa\TRISPECT.M hosa\WIG2.M hosa\WIG2C.M hosa\WIG3.M hosa\WIG3C.M hosa\WIG4.M hosa\WIG4C.M

There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing. The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency distributions. Based on these, algorithms for parametric and non-parametric blind system identification, time-delay estimation, harmonic retrieval, phase-coupling, direction of arrival estimation, parameter estimation of Volterra (non-linear) models, and adaptive linear prediction are implemented. Also included are algorithms for testing of Gaussianity and Linearity of a time series. A full tutorial and demo set are included in the toolbox.

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