Nonlinear Adaptive Noise Cancellation for 2-D Signals with Adaptive Neuro-Fuzzy Inference Systems Hao Qin Advisor: University of Guelph, 2004 Professor Simon X. Yang Neuro-fuzzy systems are capable of inducing rules from observations, where the adaptive neuro-fuzzy inference system (ANFIS) is an effective method that can be applied to a variety of domains such as pattern recognition, robotics, ...

The performances of phasor estimation algorithms for the UMTS RAKE Receiver are analysed. Due to the need of covering a wide range of possible mobile speeds and spreading factors, two different algorithms are considered here, namely a LMS-Kalman type algorithm, and a Wiener filter. The Wiener filter is considered both, as a predictor and a smother. It is shown that the simpler LMS-Kalman predic...

This paper investigates the performance of reduced rank spacetime processors in the context of anti-jam mitigation for an MCode based GPS receiver utilizing a circular array. Several adaptive processing algorithms are discussed utilizing power minimization techniques. It is assumed an INS (Inertial Navigation System) or direction finding algorithm is incorporated into the receiver for satellite...

In this paper, we propose a novel segmentationbased denoising algorithm. Segmentation yields intrinsically homogeneous and extrinsically heterogeneous regions. A denoising algorithm that uses Multiple Compaction Domains (MCD) is then applied on each of the resulting segments. Such a scheme retains important perceptual information in the segment boundaries while the denoising algorithm operates ...

We consider a time varying wireless fading channel, equalized by an LMS linear equalizer in decision directed mode (DD-LMS-LE). We study how well this equalizer tracks the optimal Wiener equalizer. Initially we study a fixed channel. For a fixed channel, we obtain the existence of DD attractors near the Wiener filter at high SNRs using an ODE (Ordinary Differential Equation) approximating the D...

In this work we present one efficient structure based on Wiener filter to perform channel equalization in a block communications system. We show that it is possible to derive a structure to estimate a block of transmitted symbols that use the same Wiener filter to estimate all symbols in the block. In terms of bit error rate, experimental results show that the system performs better than Discre...

We propose a new structure for blind equalization with spatiotemporal diversity at the receiver (SIMO system). This structure is derived from the Wiener filter. It is composed by a prefilter deduced from the data spectral density (no blind criterion is needed) and a FIR filter, independent from the noise level, to be obtained blindly. The new prefilter is robust to a total lack of effective div...

In this paper, we combine the well-established technique of Wiener filtering with an efficient method for robust smoothing: channel smoothing. The main parameters to choose in channel smoothing are the number of channels and the averaging filter. Whereas the number of channels has a natural lower bound given by the noise level and should for the sake of speed be as small as possible, the averag...

Biopolis, Singapore, 14-17 December 2010. Abstract Aiming at image/video super resolution applications, this paper presents a spatially adaptive FIR wiener filter for super resolution reconstruction. Missing high resolution samples can be estimated as the weighted sum of nearby low resolution samples. In the proposed algorithm, the optimal weighting coefficients for each of nearby low resolutio...