P. R. Diniz, "The Least-Mean-Square (LMS) Algorithm," in Adaptive Filtering, ed: Springer US, 2008, pp. 1-54.Paulo S.R. Diniz, "The Least-Mean-Square (LMS) Algorithm," Algorithms and Practical Implementation, 2
Paulo S.R. Diniz, "The Least-Mean-Square (LMS) Algorithm," Algorithms and Practical Implementation, 2008, Springer US, pp 1-54P. S. R. Diniz, "The least-mean-square ͑LMS͒ algorithm," in Adaptive Filtering: Algorithms and Practical Implementa- tion ͑Kluwer Academic, Dordrecht, ...
Balanced Parentheses 平衡括号 Dijkstras Two Stack Algorithm Dijkstras 两栈算法 Evaluate Postfix Notations 评估后缀符号 Infix To Postfix Conversion 中缀到后缀转换 Infix To Prefix Conversion 中缀到前缀转换 Next Greater Element 下一个更大的元素 Postfix Evaluation 后缀评估 Prefix Evaluation 前缀评估 Stack 堆...
aLMS(Least Mean Square) algorithm, based on minimum mean square error, has the advantages of simple structure, fast convergence and low computational complexity among many adaptive filtering algorithms. But along with the improvement of people's demand for communication quality, and no consideration on...
A simple adaptive algorithm is the Least Mean Square (LMS) which has a low complexity of , but this algorithm has a very slow convergence. Taking into account that the training sequence time of an 802.11g burst is small, it is preferable to use SMI which offers a faster convergence, even...
SpikeProp algorithm is based on gradient descent method for SNNs. But it is difficult for normal SNNs to prove the convergence. In this paper, a smoothing L1∕2 regularization term is introduced into the error function as a penalty for the SpikeProp algorithm. The approach tries to constrain so...
The algorithm calculates the root mean square error (RMSE) over the test data as follows: yi,t is the true value of time series i at the time t. ŷi,t is the mean prediction. The sum is over all n time series in the test set and over the last Τ time points for each time ...
Four_MCANC.m: Main program for testing the McFxLMS algorithm. Multichannel_FxLMS.m: The code of the multichannel filterd reference least mean sqaure (McFxLMS) algorithm. Control_filter.m: The code of the control filter in the adaptive algorithm. \path: The data folder that ontains the meas...
H.X. conceived the idea, designed the device, performed numerical simulations, and developed the reconstruction algorithm. H.X., Y.Q., and G.H. conducted the experiment. H.K.T. supervised the project. H.X. and H.K.T wrote the manuscript with support from all co-authors. Corresponding...
摘要:Recently, a so-called E-MS algorithm was developed for model selection in the presence of missing data. Specifically, it performs the Expectation step (E step) and Model Selection step (MS step) alternately to find the minimum point of the observed generalized information criteria (GIC)....