A variable step size (VS) adjustment algorithm, analogous to adaptive delta modulation, is analyzed in this paper. The step size evolution, the rate of convergence and the steady state error are derived. (Reprints)Xue, RPrinceton Univ.Liu, B...
(quality of adaptation, or accuracy of the adaptive filter) for standard LMS algorithm, this paper presents an adaptive variable step size LMS algorithm (least mean square algorithm) of complex form, where the innovation of the weight-vector depends on the gradient of error surface at the point...
Traditional LMS algorithm of step size factor was discussed and a new variable step size LMS auto-adapted algorithm was proposed.A new nonlinear functional relationship among the step size factor,iteration number of times and the input signal was established.Compared with the traditional LMS algorithm...
This letter introduces a variable step-size (VSS) normalized subband adaptive filter (NSAF) using a step-size scaler to improve the robustness against impulsive measurement noise. When impulsive measurement noise appears, the step size of the proposed VSS NSAF is scaled down by the step-size scal...
In this contribution, a frequency-domain adaptive filter combined with a frequency-selective stepfactor control for acoustic echo cancellers is presented. The adaptive filter algorithm uses the overlap and save implementation method to calculate the error signal and the direction in which the filter imp...
Proposed is a novel variable step size normalized subband adaptive filter algorithm, which assigns an individual step size for each subband by minimizing the mean square of the noise-free a posterior subband error. Furthermore, a noniterative shrinkage method is used to recover the noise-free prio...
A new variable step-size strategy for the least mean square (LMS) algorithm is presented for distributed estimation in adaptive networks using the diffusion scheme. This approach utilizes the ratio of filtered and windowed versions of the squared instantaneous error for iteratively updating the step-...
SuperLearner - Multi-algorithm ensemble learning packages. svmpath - svmpath: svmpath: the SVM Path algorithm. [Deprecated] tgp - tgp: Bayesian treed Gaussian process models. [Deprecated] tree - tree: Classification and regression trees. varSelRF - varSelRF: Variable selection using random fores...
Analytical HPLC conditions were as follows: Agilent 1260 Infinity II variable wavelength detector; Waters XBridge C18, 4.6 mm × 150 mm, 3.5 μm particles. Phase A was water with 0.1% TFA, and phase B was MeCN. The entire eluting time was 10 min with a gradient from 10% phase ...
EM algorithm that incorporates imputation step for the expected gene expression level of drop-outs. Paper Pierson, Emma, and Christopher Yau. "ZIFA: Dimensionality Reduction for Zero-Inflated Single-Cell Gene Expression Analysis" https://doi.org/10.1186/s13059-015-0805-z Genome Biology 16 (...