Arıkan, Orhan2016-02-082016-02-081996http://hdl.handle.net/11693/27740Date of Conference: 18-21 June 1996Conference Name: 3rd International Symposium on Time-Frequency and Time-Scale Analysis, IEEE 1996A recursive algorithm is proposed to obtain an efficient regularized least squares solution to large linear system of equations which arises in many physical measurement models. The algorithm recursively updates the solution in an increasingly larger dimensional subspace whose basis vectors are chosen as a subset of a complete wavelet basis. Robust criterions on how to chose the basis vectors at each iteration, and when to stop the iterations are given.EnglishAlgorithmsCalculationsComputational complexityIterative methodsLeast squares approximationsMathematical modelsParameter estimationRecursive functionsVectorsWavelet transformsAdaptive partitioning methodsRecursive reconstruction algorithmSignal processingConference Paper10.1109/TFSA.1996.546679