Title :
New split Levinson, Schur, and lattice algorithms for digital signal processing
Author_Institution :
Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA
Abstract :
The mathematical structure associated with the split algorithms for computing the reflection coefficients for a given real symmetric positive-definite Toeplitz matrix is analyzed. A novel form of three-term recurrence relation is derived and computationally efficient alternatives to the Levinson-Durbin, Schur, and lattice algorithms are obtained. The computational complexity of the proposed algorithms is the same as those of the split algorithms described in recent literature. These algorithms provide further insight into the mathematical properties of the structurally rich Toeplitz matrices
Keywords :
computational complexity; computerised signal processing; matrix algebra; Levinson algorithms; Schur algorithms; computational complexity; digital signal processing; lattice algorithms; mathematical structure; real symmetric positive-definite Toeplitz matrix; reflection coefficients; split algorithms; structurally rich Toeplitz matrices; three-term recurrence relation; Algorithm design and analysis; Computational complexity; Digital signal processing; Lattices; Polynomials; Reflection; Signal analysis; Signal processing algorithms; Symmetric matrices; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.196927