filtering and prIt has been shown that an L/sub p/ normed solution to linear prediction equations may be advantageous in certain time-series modeling applications. Specifically, in the context of sinusoidal frequency estimation from data contaminated by impulsive noise, choosing p=1 may result in ...
,N. Next, those estimates are multiplied by the window function w(tn) and merged by means of the Weighted Overlap-Add method (WOLA (Verhelst, 2000)) to obtain the frame-recombined precession component p˜(tm) for the entire length of the proxy record. 2.1.1. Frame-based precession ...
where f(k) is the frequency of the current object and w:0+×0+→0+is a function that maps the nonnegative real frequencies to a nonnegative real distance penalty value. A reasonable choice for w is a linear decay with distance, subject to a floor f0: ...
F ( ϕ ) (x,t) can be related to the ISI’s survivor distribution function, G ¯ ϕ (t), by G ¯ ϕ (t)= F ( ϕ ) (1,t). (7) Equation (7) forms the basis of one of the methods below for estimating the structural parameters from the observed data. ...
15,16,17,18 Through these diverse functions and cell-cell communication with other resident liver cells, KCs promote a tolerant and regenerative environment within the healthy liver, supporting resiliency to liver disease.19,20 In addition to location and function, KCs can be distinguished from ...
Analysis of sinusoidal noisy leaky integrate-and-fire models and comparison with experimental data are important to understand the neural code and neural synchronization and rhythms. In this paper, we propose two methods to estimate input parameters usin
Analysis of sinusoidal noisy leaky integrate-and-fire models and comparison with experimental data are important to understand the neural code and neural synchronization and rhythms. In this paper, we propose two methods to estimate input parameters usin
Analysis of sinusoidal noisy leaky integrate-and-fire models and comparison with experimental data are important to understand the neural code and neural synchronization and rhythms. In this paper, we propose two methods to estimate input parameters usin
Given the use of cat and guinea pig models in behavioral studies of cochlear implant function, examination of the issues initially addressed by Pfingst (1984) in the context of more species is appropriate. Such an examination will enable a better understanding of the implications of results ...
Sinusoidal parameter estimation methods which operate on the DFT exploit the assumption that the peak in the magnitude spectrum is associated with a complex sinusoid—in this context finding the fractional bin index K and peak magnitude X of the window transform is considered equivalent to recovering...