Convert line spectral frequencies or line spectral pairs to linear prediction coefficients
Estimation / Linear Prediction
The LSF/LSP to LPC Conversion block takes a vector or matrix of line spectral pairs
(LSPs) or line spectral frequencies (LSFs) and converts it to a vector or matrix of
linear prediction polynomial coefficients (LPCs). When converting LSFs to LPCs, the
block outputs match those of the
The block input can be an N-by-M matrix or an unoriented vector. Each column of the matrix is treated as a channel. When the input is an unoriented vector, the input is treated as one channel. Each input channel must be in the same format, which you specify in the Input parameter:
LSF in range (0 pi) — Vector of LSF values
between 0 and π radians in increasing order. Do not include
the guaranteed LSF values, 0 and π.
LSF normalized in range (0 0.5) — Vector of
normalized LSF values in increasing order, (compute by dividing the LSF values
between 0 and π radians by 2π). Do not
include the guaranteed normalized LSF values, 0 and 0.5.
LSP in range (-1 1) — Vector of LSP values
in decreasing order, equal to the cosine of the LSF values between 0 and
π radians. Do not include the guaranteed LSP values, -1
Specifies whether to convert
LSP in range (-1
LSF in range (0 pi), or
LSF normalized in range (0 0.5) to linear
prediction coefficients (LPCs).
Double-precision floating point
Single-precision floating point
Kabal, P. and Ramachandran, R. “The Computation of Line Spectral Frequencies Using Chebyshev Polynomials.” IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. ASSP-34 No. 6, December 1986. pp. 1419-1426.