Zhao S.K,Man Z.H,Khoo S.Y,Wu H.R.Variable step-size LMS algorithm with a quotient form. Signal Processing . 2009Zhao S K, Man Z H, Khoo S Y, el al. Variable step-size LMS algorithm with a quotient form [ J ]. Signal Processing, 2009,89 ( 1 ) :67-76....
The findings significantly enrich our understanding of the stochastic behavior of the FxLMS algorithm in the presence of FM and also provide some useful information for NANC system design. Extensive simulations are conducted to confirm the validity of the analytical findings. This is a preview of ...
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-...
In vector form, the sign-data LMS algorithm is: w(k+1)=w(k)+μe(k)sgn(x(k)), where sgn(x(k))=⎧⎪⎨⎪⎩1, x(k)>00, x(k)=0−1, x(k)<0 with vector w containing the weights applied to the filter coefficients and vector x containing the input data. The...
Incomparison with other LMS, SC Training (formerly EdApp) is an algorithm-based practice that does all the work for you, so all your learners can absorb your learning content without you having to lift a finger. Other useful features include social and peer learning, a cloud-based translation...
Even though the wavelet transform-based LMS algorithm shows a rapid convergence rate [23], its basic form has a computational complexity that is higher than that of the traditional TD-LMS algorithm because it introduces an additional complexity of O(mN), where m is the wavelet length and N ...
Being easier to represent as coordinates in text, especially in the form of a simple square. Having more data available in this format online, such as tabular data, city grids, and 2D maze coding problems. Humans often write about square grid...
Similarly to the (full update) NLMS algorithm, the normalization can either be considered as a modification of the LLMS algorithm, with the step size dependent on the energy of the input signal, or may be developed formally as a solution of a constrained optimization problem [14]. Regardless...
Lastly, the active sound quality control was completed based on the variable step size filter-error least mean square algorithm. The experiments were performed in the cab of a mini-excavator to verify the method’s effectiveness. It was verified that the loudness peak drops by 0.95 sones under...
C++17 execution policies are supported in libcpp.algorithm. Patch by Ashwin Srinath. (Github issue :issue:`3790`) A new directive cpp_locals was added that allows local C++ variables to be lazily initialised (without default constructor), thus making them behave more like Python variables. Patch...