DSP Blockset    

Estimation

The following sublibraries reside in the Estimation library:

Linear Prediction

Blocks for linear prediction and working with linear prediction coefficients. (Blocks are available in the Linear Prediction library.)
Autocorrelation LPC
Determine the coefficients of an Nth-order forward linear predictor
LPC to LSF/LSP Conversion
Convert linear prediction coefficients (LPCs) to line spectral pairs (LSPs) or line spectral frequencies (LSFs)
LSF/LSP to LPC Conversion
Convert line spectral pairs (LSPs) or line spectral frequencies (LSFs) to linear prediction coefficients (LPCs)

Parametric Estimation

Blocks for computing estimates of autoregressive model parameters using various methods. (Blocks are available in the Parametric Estimation library.)
Burg AR Estimator
Compute an estimate of autoregressive (AR) model parameters using the Burg method
Covariance AR Estimator
Compute an estimate of AR model parameters using the covariance method
Modified Covariance AR Estimator
Compute an estimate of AR model parameters using the modified covariance method
Yule-Walker AR Estimator
Compute an estimate of AR model parameters using the Yule-Walker method

Power Spectrum Estimation

Blocks for computing parametric and nonparametric spectral estimates using various methods. (Blocks are available in the Power Spectrum Estimation library.)
Burg Method
Compute a parametric spectral estimate using the Burg method
Covariance Method
Compute a parametric spectral estimate using the covariance method
Magnitude FFT
Compute a nonparametric estimate of the spectrum using the periodogram method
Modified Covariance Method
Compute a parametric spectral estimate using the modified covariance method
Short-Time FFT
Compute a nonparametric estimate of the spectrum using the short-time, fast Fourier transform (ST-FFT) method
Yule-Walker Method
Compute a parametric estimate of the spectrum using the Yule-Walker AR method


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