# IET Signal Processing

## Filter Results

Displaying Results 1 - 13 of 13
• ### Algorithm of efficient computation of generalised discrete Hartley transform based on cyclic convolutions

Publication Year: 2014, Page(s):301 - 308
| | PDF (174 KB)

A general method for efficient computation of four types of discrete Hartley transform using cyclic convolutions is considered. Forming hashing arrays on the basis of simplified arguments of basis transform for synthesis of efficient algorithm is analysed. The hashing arrays in the algorithm define partitioning of the harmonic basis into Hankel submatrices. The examples of four types of discrete H... View full abstract»

• ### Efficient estimation of signal parameters via rotational invariance technique-based algorithm with automatic pairing for two-dimensional angle and polarisation estimation using crossed dipoles

Publication Year: 2014, Page(s):309 - 319
| | PDF (493 KB)

This study addresses an efficient algorithm for joint estimation of the two-dimensional (2D) angles and polarisations of the signals impinging on a planar array of co-centred crossed dipole pairs. Based on a novel multi-layered signal decomposition scheme, the proposed algorithm estimates 2D angles and polarisations alternatively in a coarse-to-fine manner by progressively decomposing the signals ... View full abstract»

• ### Dispersed chirp-z transform-based spectrum sensing and utilisation in cognitive radio networks

Publication Year: 2014, Page(s):320 - 329
Cited by:  Papers (2)
| | PDF (774 KB)

The authors propose novel spectrum sensing and utilisation schemes for cognitive radio networks using the chirp-z transform. To improve the spectral efficiency, a dispersed chirp-z transform is introduced with the energy detection method. The dispersed chirp-z transform enables one to analyse the dispersed frequency spectrum of any frequency range of interest. The analysis is ... View full abstract»

• ### Robust bayesian partition for extended target gaussian inverse wishart PHD filter

Publication Year: 2014, Page(s):330 - 338
Cited by:  Papers (2)
| | PDF (796 KB)

Extended target Gaussian inverse Wishart PHD filter is a promising filter. However, when the two or more different sized extended targets are spatially close, the simulation results conducted by Granström et al. show that the cardinality estimate is much smaller than the true value for the separating tracks. In this study, the present authors call this phenomenon as the cardinality ... View full abstract»

• ### Enhanced spectrum utilisation in dynamic cognitive radios with adaptive sensing

Publication Year: 2014, Page(s):339 - 346
| | PDF (596 KB)

Cognitive Radio (CR) is a new concept in wireless communication systems that aims at enabling dynamic access to the frequency spectrum for unlicensed secondary users (SU) through the reuse of licensed frequencies. Specifically, CR systems are expected to detect idle licensed frequencies (spectrum holes) by applying a spectrum sensing procedure, to take advantage of them for providing service to th... View full abstract»

• ### Quasi-maximum-likelihood estimator of polynomial phase signals

Publication Year: 2014, Page(s):347 - 359
Cited by:  Papers (8)
| | PDF (2118 KB)

A novel approach for the parameter estimation of the polynomial phase signals (PPS) based on the short-time Fourier transform (STFT) is proposed. Estimator accuracy is significantly higher compared to the high-order ambiguity function (HAF), product HAF, and similar the non-linear transforms based strategies. The proposed approach is more efficient than the maximum likelihood (ML) estimator for th... View full abstract»

• ### Approach for fast time-frequency analysis

Publication Year: 2014, Page(s):360 - 372
| | PDF (949 KB)

S-transform (ST) is a time-frequency representation (TFR) that is popularly used in a variety of applications, but prohibitive in both storage and computation for large time series. This study proposes a one-dimensional fast time-frequency transform (FTFT-1D) which generates a highly compressed form of the ST directly, without the need to compute the complete ST matrix initially and compres... View full abstract»

• ### Chaotic analogue-to-information conversion with chaotic state modulation

Publication Year: 2014, Page(s):373 - 380
Cited by:  Papers (2)
| | PDF (561 KB)

Chaotic compressive sensing is a non-linear framework for compressive sensing. Along the framework, this study proposes a chaotic analogue-to-information converter, chaotic modulation', to acquire and reconstruct band-limited sparse analogue signals at sub-Nyquist rate. In the chaotic modulation, the sparse signal is randomised through state modulation of continuous-time chaotic system and one st... View full abstract»

• ### Efficient design of very large-scale DFT modulated filter banks using Mth band condition

Publication Year: 2014, Page(s):381 - 391
| | PDF (466 KB)

This study presents several new properties of the discrete Fourier transform (DFT) modulated filter banks and efficient algorithm for designing the filter banks with very large-scale (with a very large number of subbands and very long filters). For DFT modulated filter bank, the authors derive the symmetric property of the overall transfer function and aliasing transfer functions which can be effi... View full abstract»

• ### A single-input multiple-output transceiver architecture to 'Blindly' null unknown interference for block-based single-carrier transmission with an insufficient guard interval

Publication Year: 2014, Page(s):1 - 6
| | PDF (384 KB)

This paper proposes a new way to realize a maximum-SINR beamformer for block-based cyclically prefixed single-carrier modulation. Here, SINR stands for signal to interference plus noise' ratio, at the beamformer output. This spatial beamformer will blindly' pass the signal-of-interest; and this beamformer will blindly' null any co-channel interference, any adjacent-channel interference, any out... View full abstract»

• ### Linear fractional order system identification using adjustable fractional order differentiator

Publication Year: 2014, Page(s):398 - 409
Cited by:  Papers (4)
| | PDF (718 KB)

In previous decades, it has been observed that many physical systems are well characterised by fractional order models. Hence, their identification is attracting more and more interest of the scientific community. However, they pose a more difficult identification problem, which requires not only the estimation of model coefficients but also the determination of fractional orders with the tedious ... View full abstract»

• ### Spectrum trading in cognitive radio networks with uncertainty in primary service requirements

Publication Year: 2014, Page(s):410 - 420
Cited by:  Papers (1)
| | PDF (581 KB)

This study addresses the problem of spectrum trading in a cognitive radio network with multiple primary users (PUs) competing to sell spectrum to a secondary user (SU). The spectrum trading process is modelled using a `Cournot game model' of competition by which the PUs set the size of spectrum to sell. In this study, the spectrum requirements for the PUs' services are not fixed but time varying, ... View full abstract»

• ### Error probability upper bound for perfect sequences implemented with super-structured fibre Bragg gratings

Publication Year: 2014, Page(s):421 - 428
| | PDF (529 KB)

The success of coherent optical code-division multiple-access (OCDMA) systems is strongly dependent on the optical encoder/decoder technology and on the selection of the correct OCDMA codes/sequences. For this reason, in this study, the authors present a method to implement perfect sequences with Super-Structured Fibre Bragg Gratings (SSFBGs). A new SSFBG power reflection model has been found. The... View full abstract»

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IET Signal Processing publishes novel contributions in signal processing.

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