3. THE FAST AFFINE PROJECTION ALGORITHM The complexity of APA is 2LN + K inv N 2 multiplies per sample period, where K inv is a constant associated with the complexity of the inverse required in (2). If a gener
The fast affine projection (FAP) algorithm has proven to be useful in acoustic echo cancellation, where low-complexity but fast coefficient adaptation with very long (more than 1000 coefficient) filters is required. We extend the use of this algorithm to the active noise control task. Similar ...
fast affine projection algorithmfast orthogonalizationacoustic echo cancellationIn this paper, the problem of robust stabilization of a class of time-varying large scale systems subject to external disturbances, uncertain parameters and multiple time-varying delays in the interconnections and non-linear ...
nullA Block Exact Fast Affine Projection Algorithm 热度: 第31卷第1期 2012年2月 河南理工大学学报(自然科学版) JOURNALOFHENANPOLYTECHNICUNIVERSITY(NATURALSCIENCE) V01.3l NO.1 Feb.20l2 凸可行问题的块迭代次梯度投影算法 党亚峥 ,薛中会,高
Abstract The modified filtered-x affine projection (MFxAP) algorithm is effective for active noise control owing to its good convergence behavior and medium computational burden. The transient and steady-state performances of the MFxAP algorithm have been analyzed in previous studies, which presented ...
The set-membership affine projection (SM-AP) algorithm has many desirable characteristics such as fast convergence speed, low power consumption due to data-selective updates, and low misadjustment. The main reason hindering the widespread use of the SM-AP algorithm is the lack of analytical results...
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)....
adaptive filter; affine projection algorithm; projection order; switching mechanism1. Introduction With the rapid development of signal processing technology, filter theory plays an increasingly important role in this field [1,2,3]. As one of the typical filters, the Wiener filter needs the a ...
Add too few, and the lines wouldn't match the projection. We find a balance with an adaptive algorithm — adding a point in the middle of a line segment, then in the middle of the newly created two segments, and continuing recursively until each segment approximates the curve with ...
However, it is difficult to leverage such methods to annotate image-guided SCMS data due to lack of spatial information, which is a crucial statistical consideration in the annotation algorithm. Rather, we leverage the biochemical information that mutually exists in tissue and single cells, which ...