Title :
Superfast Tikhonov Regularization of Toeplitz Systems
Author :
Turnes, Christopher K. ; Balcan, Doru ; Romberg, Justin
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Toeplitz-structured linear systems arise often in practical engineering problems. Correspondingly, a number of algorithms have been developed that exploit Toeplitz structure to gain computational efficiency when solving these systems. Early “fast” algorithms required O(n2) operations, but recent “superfast” algorithms are more efficient. In this work, we present a superfast algorithm for Tikhonov regularization of Toeplitz systems. Using an “extension-and-transformation” technique, our algorithm translates a Tikhonov-regularized Toeplitz system into a type of specialized polynomial problem known as tangential interpolation. Under this formulation, we can compute the solution in only O(KNlog2 N) operations, where K is the number of regularizers and N is on the order of the number of parameters defining the system matrix. Our algorithm is further improved with displacement structure, which reduces the complexity when solving the system for multiple input vectors. We use numerical simulations to demonstrate our algorithm´s complexity and accuracy.
Keywords :
Toeplitz matrices; computational complexity; signal processing; (KNlog2 N) operations; Toeplitz-structured linear systems; computational efficiency; extension-and-transformation technique; signal processing algorithms; specialized polynomial problem; superfast Tikhonov regularization; system matrix; tangential interpolation; Complexity theory; Interpolation; Linear systems; Matrix decomposition; Polynomials; Signal processing algorithms; Vectors; Computational efficiency; least squares methods; linear algebra; matrices; signal processing algorithms;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2014.2330800