In this paper, we propose a novel interframe coding method for 3-D medical images. Existing 3-D medical image compression techniques are less effective in case that the interslice distance is not narrow enough. Based on adaptive inter/intra mode selection in motion compensation, however, the proposed method provides good performance regardless of the interslice distance. In this method, adaptiv...

In this paper, an effective method for speckle reduction and image enhancement for SAR images is proposed. The novelty of the proposed method is the adaptive calculation of parameters with ease in adaptive sigmoid thresholding approach for removing the speckle noise from the SAR images followed by post-processing operation. The noise removal operation is carried out in wavelet domain using db4 ...

Medical images are corrupted by noises during its transmission and acquisition process. Noise reduction has been a traditional problem in image and signal processing. Medical images generally contains minute information about heart, brain, nerves etc therefore wrong diagnosis might not rescue the patient from harmful effects. In this paper we proposed an approach for image denoising based on wa...

This paper addresses a Compensatory Wavelet Neuro-Fuzzy System (CWNFS) for temperature control. The proposed CWNFS model is five-layer structure, which combines the traditional Takagi-Sugeno-Kang (TSK) fuzzy model and the wavelet neural networks (WNN). We adopt the non-orthogonal and compactly supported functions as wavelet neural network bases. Besides, the compensatory fuzzy reasoning method ...

Abstract: In this paper, a predictive control method using self-recurrent wavelet neural network (SRWNN) is proposed for chaotic systems. Since the SRWNN has a self-recurrent mother wavelet layer, it can well attract the complex nonlinear system though the SRWNN has less mother wavelet nodes than the wavelet neural network (WNN). Thus, the SRWNN is used as a model predictor for predicting the d...

This paper proposes a new structure of wavelet extreme learning machine i.e. an adaptive wavelet extreme learning machine (AW-ELM) for finger motion recognition using only two EMG channels. The adaptation mechanism is performed by adjusting the wavelet shape based on the input information. The performance of the proposed method is compared to ELM using wavelet (W-ELM0 and sigmoid (Sig-ELM) acti...

In this paper, we introduce an adaptive wavelet method for operator equations on unbounded domains. We use wavelet bases on R to equivalently express the operator equation in terms of a well-conditioned discrete problem on sequence spaces. By realizing an approximate adaptive operator application also for unbounded domains, we obtain a scheme that is convergent at an asymptotically optimal rate...

An efficient motion-compensated 3D wavelet video coding system is proposed in this paper. In this new system, spatio-temporal subbands are generated by MC temporal analysis based on an adaptive GOP structure and 2D spatial wavelet transform, and then encoded by a quadtree-based wavelet image coding method. The experimental results show that, the proposed system can achieve better performance th...

Movable power sources of proton exchange membrane fuel cells (PEMFC) are the important research done in the current fuel cells (FC) field. The PEMFC system control influences the cell performance greatly and it is a control system for industrial complex problems, due to the imprecision, uncertainty and partial truth and intrinsic nonlinear characteristics of PEMFCs. In this paper an adaptive PI...

A competitive “wavelet layer” is proposed for pattern clustering. It exploits the representation capabilities of adaptive wavelets to generate template approximations for each cluster of data. A brief review of adaptive wavelet representations, as well as some insight into local minima problems, is provided. The method is illustrated by a simple clustering problem, in which step responses of dy...