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Recursive Least Squares Regression Analysis
1984The recursive least squares (RLS) algorithm II developed in the previous Chapter provides a general method of estimating the parameters in a multi-parameter regression model. But, as we have pointed out, the algorithm is a deterministic estimation procedure in the sense that it makes few assumptions about either the statistical nature of the signals or
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Sparsity regularized recursive total least-squares
Digital Signal Processing, 2015This paper introduces a new family of recursive total least-squares (RTLS) algorithms for identification of sparse systems with noisy input vector. We regularize the RTLS cost function by adding a sparsifying term and utilize subgradient analysis. We present ? 1 norm and approximate ?
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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Least squares and recursive least-squares signal processing
2017Alexander D. Poularikas +1 more
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Data-Reuse Recursive Least-Squares Algorithms
IEEE Signal Processing Letters, 2022Constantin Paleologu +2 more
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Fault Tolerant Recursive Least Squares Minimization
1991Existing fault tolerance schemes have often been ignored by systolic array designers because they are too costly and unwieldy to implement. With this in mind, we have developed a new technique specially tailored for recursive least squares minimization that emphasizes simplicity.
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Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma
Ca-A Cancer Journal for Clinicians, 2020Aaron J Grossberg +2 more
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Oral complications of cancer and cancer therapy
Ca-A Cancer Journal for Clinicians, 2012Joel B Epstein +2 more
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