Nonlinear effects, or non-Wiener behavior, have been observed in several adaptive filtering applications, such as adaptive equalization of wideband communication signals contaminated by narrowband interference, adaptive narrowband noise cancellation, and adaptive linear prediction of narrowband processes. The nonlinear effects have been especially prominent when narrowband processes have been i...

This thesis contains a presentation and an analysis of adaptive filtering strategies for multidimensional data. The size, shape and orientation of the filter are signal controlled and thus adapted locally to each neighbourhood according to a predefined model. The filter is constructed as a linear weighting of fixed oriented bandpass filters having the same shape but different orientations. The ...

Purpose: The purpose of the current work was experimental investigations of the mean breast dose and volume dose distributions with and without adaptive filtration. Adaptive filtration of the x-ray beam is used in dedicated breast CT to reduce dynamic range requirements on the detector, and to improve image quality. The adaptive filter has a predetermined shape, it is placed after the x-ray sou...

Traditional stable adaptive filter was used normalized least-mean square (NLMS) algorithm. However, identification performance of the traditional filter was especially vulnerable to degradation in low signal-noise-ratio (SRN) regime. Recently, adaptive filter using normalized least-mean fourth (NLMF) is attracting attention in adaptive system identifications (ASI) due to its high identification...

Adaptive Local Image Registration is a Local Image Registration based on an Adaptive Filtering frame work. A filter of appropriate size convolves with reference image and gives the pixel values corresponding to the distorted image and the filter is updated in each stage of the convolution. When the filter converges to the system model, it provides the registered image. The filter size plays an ...

This paper studies adaptive truncated Volterra filters employing parallel-cascade structures. Parallel-cascade realiza­ tions implement higher order Volterra systems as a parallel con­ nection of multiplicative combinations of lower order truncated Volterra systems. A normalized LMS adaptive filter is developed, and its performance capabilities are evaluated using a series of simulation experim...

Fig. 3: Radiological readings of the 4 methods: (a) SENSE recon (black); (b) adaptive combine with Gaussian filter (red); (c) unwrap and Gaussian filter (green); (d) adaptive combine with homodyne filter (blue). Horizontal axis is the filter width (1-3 mm from left to right for methods a-c; 192-64 pixels (kspace) for method d). The best image quality were methods (a) and (b) with a filter betwe...

This paper presents new adaptive filtering techniques used in speech enhancement system. Adaptive filtering schemes are subjected to different trade-offs regarding their steady-state misadjustment, speed of convergence, and tracking performance. Fractional Least-Mean-Square (FLMS) is a new adaptive algorithm which has better performance than the conventional LMS algorithm. Normalization of LMS ...

In this paper we define a new bi-adaptive mesh denoising algorithm for efficient features preserving restoration of noisy models acquired from 3D scanners. The new filter is based on two recently introduced adaptive algorithms for triangle mesh denoising which show good results over previous methods. We adapt the MMSE filter noise threshold adaptive equation to compute new triangles normal vect...