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# IET Signal Processing

## Filter Results

Displaying Results 1 - 11 of 11
• ### Robust equalisation for inter symbol interference communication channels

Publication Year: 2012, Page(s):73 - 78
Cited by:  Papers (3)
| | PDF (215 KB)

The problem of equalisation for communication channels with inter symbol interference (ISI) is investigated in this study. One practical yet challenging constraint for a channel with high transmission rate is incorporated into the modelling of the equalisation system: the communication channel is subject to uncertainties, which are assumed to be within a polytope with finite vertices. By using the... View full abstract»

• ### Efficient wavelet networks for function learning based on adaptive wavelet neuron selection

Publication Year: 2012, Page(s):79 - 90
| | PDF (904 KB)

In this study, a novel four-layer architecture of wavelet network is proposed for function learning. Compared to conventional three-layer wavelet networks, the proposed one exploits adaptive wavelet neuron selection technique according to input information, so that the widespread structural redundancy is avoided. Meanwhile, it controls the scale of problem solution. Based on the proposed architect... View full abstract»

• ### Identification of non-linear systems using radial basis function neural networks with time-varying learning algorithm

Publication Year: 2012, Page(s):91 - 98
Cited by:  Papers (2)
| | PDF (353 KB)

In this study, a time-varying learning algorithm (TVLA) using particle swarm optimisation (PSO) method is presented to optimise radial basis function neural networks (RBFNNs) for identification of non-linear systems. First, support vector regression (SVR) method is adopted to determine the number of hidden layer nodes, the initial parameters of the kernel and the initial weights of RBFNNs. After i... View full abstract»

• ### Automatic removal of ocular artefacts using adaptive filtering and independent component analysis for electroencephalogram data

Publication Year: 2012, Page(s):99 - 106
Cited by:  Papers (5)
| | PDF (909 KB)

A new method for eye movement artefacts removal based on independent component analysis (ICA) and recursive least squares (RLS) is presented. The proposed algorithm combines the effective ICA capacity of separating artefacts from brain waves, together with the online interference cancellation achieved by adaptive filtering. Eye blink, saccades, eyes opening and closing produce changes of potential... View full abstract»

• ### Orthogonal perfect discrete Fourier transform sequences

Publication Year: 2012, Page(s):107 - 113
Cited by:  Papers (2)
| | PDF (656 KB)

In this study, the authors propose a method to obtain many different sets of N orthogonal perfect periodic autocorrelation sequences, with length N, derived from Walsh-Hadamard codes and orthogonal Gold codes. Moreover, these orthogonal perfect discrete Fourier transform (DFT) sequences can be transformed into real orthogonal perfect sequences or into bipolar codes with better correl... View full abstract»

• ### Particle swarm optimisation particle filtering for dual estimation

Publication Year: 2012, Page(s):114 - 121
Cited by:  Papers (3)
| | PDF (533 KB)

A new method for the dual estimation in dynamic state-space model was proposed in this study with a focus on sequential Bayesian learning about time-varying state and static parameter simultaneously. The proposed algorithm combines auxiliary particle filtering (APF) with particle swarm optimisation (PSO) to achieve computational efficiency and stability. The PSO provides the mechanism for generati... View full abstract»

• ### Algebraic method for blind recovery of punctured convolutional encoders from an erroneous bitstream

Publication Year: 2012, Page(s):122 - 131
Cited by:  Papers (6)  |  Patents (2)
| | PDF (375 KB)

To enhance the quality of transmissions, all digital communication systems use error-correcting codes. By introducing some redundancy in the informative binary data stream, they allow one to better withstand channel impairments. The design of new coding schemes leads to a perpetual evolution of the digital communication systems and, thus, cognitive radio receivers have to be designed. Such receive... View full abstract»

• ### Bridging gap between multi-dimensional scalingbased and optimum network localisation via efficient refinement

Publication Year: 2012, Page(s):132 - 142
| | PDF (413 KB)

This study deals with the localisation of all nodes in a network, also called as network localisation, based on pairwise distance measurements. The case of a fully connected network is considered, where fully connected refers to that within the whole network every pair of nodes directly connect to each other, thus their pairwise distance can be measured and available. For the localisation of suc... View full abstract»

• ### Signal denoising using neighbouring dual-tree complex wavelet coefficients

Publication Year: 2012, Page(s):143 - 147
Cited by:  Papers (2)
| | PDF (422 KB)

Denoising is a very important preprocessing step in signal/image processing. In this study, a new signal denoising algorithm is proposed by using neighbouring wavelet coefficients. The dual-tree complex wavelet transform is employed because of its property of approximate shift invariance, which is very important in signal denoising. Both translation-invariant (TI) and non-TI versions of the denois... View full abstract»

• ### Image denoising by random walk with restart kernel and non-subsampled contourlet transform

Publication Year: 2012, Page(s):148 - 158
| | PDF (1674 KB)

To address the drawbacks of continuous partial differential equations, a diffusion method based on spectral graph theory and random walk with restart kernel is proposed, which uses non-subsampled contourlet transform to capture the geometric feature of image. Specifically, a new graph weighting function is constructed based on the geometric feature. Moreover, a second-order random walk with restar... View full abstract»

• ### Inverse synthetic aperture radar imaging of three-dimensional rotation target based on two-order match Fourier transform

Publication Year: 2012, Page(s):159 - 169
Cited by:  Papers (2)
| | PDF (638 KB)

A novel approach for inverse synthetic aperture radar (ISAR) imaging of three-dimensional (3-D) rotation target is presented in this study. It is based on the assumption that the manoeuverability is not too severe, and the received signal in a range bin can be characterised as multi-component linear frequency modulated (LFM) signal. The two-order match Fourier transform (TMFT) is used to estimate ... View full abstract»

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IET Signal Processing publishes novel contributions in signal processing.

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