Park J and Lee S (2012) A novel adaptive algorithm with an IIR filter and a variable step size for active noise control in a short duct. International Journal of Automotive Technol- ogy 13: 223-229.A novel adap
variable step-sizeIn this paper, we propose an optimal adaptive FIR filter, in which the step-size and error nonlinearity are simultaneously optimized to maximize the decrease of the mean square deviation (MSD) of the weight error vector at each iteration. The optimal step-size and error ...
Keywords: active noise control; fractional-order calculus; multi-channel; variable step size; vehicle noise 1. Introduction Active noise control (ANC) [1–3] technology is a specific application of computer and electronic technology in the field of noise control. It uses the principle of ...
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...
In many instances candidate solution generators use the squared, power'ed or logarithmic random variable to obtain solution's index: this has an effect of giving more weight to better solutions. With some probability, an independent, algorithmically different, parallel optimizer is engaged whose soluti...
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 ...
First, we filtered the EEG between 0.4 and 30 Hz (Butterworth, 4th order, non-causal) and used a notch filter at 50 Hz and 100 Hz to remove power line noise. Next, we applied the SGEYESUB algorithm to correct for blinks and eye movement-related artifacts, as described in the section...
This is a good first step into formalising research in this area; however, many research gaps remain such as ways to determine (i) when richer insights are gained by visualising data in context and when it leads to unnecessary complexity, (ii) how to measure the levels of perceptual ...
The method is a stepped window algorithm that runs an individual t-test on each sample in a window to check if the sample is inside a chosen confidence interval around the mean of the time series window. The confidence interval is a function of the window length n, the significance level ...
Targeting ferroptosis, an iron-dependent form of regulated cell death triggered by the lethal overload of lipid peroxides, in cancer therapy is impeded by our limited understanding of the intersection of tumour’s metabolic feature and ferroptosis vulner