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Signal Processing, IET

Issue 8 • Date December 2011

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Displaying Results 1 - 7 of 7
  • Multi-model adaptation for thigh movement estimation using accelerometers

    Publication Year: 2011 , Page(s): 709 - 716
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (326 KB)  

    Gait analysis plays an important role in healthcare and other applications. In the situation of ambulatory thigh movement estimation using accelerometers, the major challenges are non-linearity and uncertainty of thigh motion and variations of accelerometer measurement noise. In this study, the authors propose to use multiple motion models and noise models to meet these challenges. In order to ada... View full abstract»

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  • Multichannel sampling and reconstruction of bandlimited signals in the linear canonical transform domain

    Publication Year: 2011 , Page(s): 717 - 727
    Cited by:  Papers (2)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (513 KB)  

    Multichannel sampling for bandlimited signals is fundamental in the theory of multichannel parallel analogue-to-digital (A/D) environment and multiplexing wireless communication environment. The analysis and application of multichannel sampling in the traditional Fourier domain have been extensively studied, but so far none of the research papers covering the reconstruction of multichannel samplin... View full abstract»

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  • Gibbs phenomenon for fractional Fourier series

    Publication Year: 2011 , Page(s): 728 - 738
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (452 KB)  

    It is well known that the partial sums of a Fourier series of a non-periodic analytic function on a finite interval exhibit spurious oscillations near the interval boundaries. This phenomenon is known as the Gibbs effect. The authors show that a similar phenomenon is observed for the fractional Fourier series (FrFS) of a function with jump discontinuities. The convergence of FrFS is discussed and ... View full abstract»

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  • Underwater acoustic channel estimation based on sparse recovery algorithms

    Publication Year: 2011 , Page(s): 739 - 747
    Cited by:  Papers (11)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (544 KB)  

    The authors consider underwater acoustic (UWA) channel estimation based on sparse recovery using the recently developed homotopy algorithm. The UWA communication system under consideration employs orthogonal frequency-division multiplexing (OFDM) and receiver preprocessing to compensate for the Doppler effect before channel estimation. The authors first extend the original homotopy algorithm which... View full abstract»

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  • Uncertain chaotic behaviours of chaotic-based frequency- and phase-modulated signals

    Publication Year: 2011 , Page(s): 748 - 756
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (630 KB)  

    Chaotic signals show many advantages in the application of radar systems. The technique described in this study focuses on the chaotic behaviour of the chaotic-based frequency- and phase-modulated signals. Chaotic-based frequency- and phase-modulated signals are introduced and analysed. Theoretical analysis points out that the initial chaotic map's phase structure is destroyed by frequency or phas... View full abstract»

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  • H filtering for systems with time-varying delay satisfying a certain stochastic characteristic

    Publication Year: 2011 , Page(s): 757 - 766
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (249 KB)  

    This study proposes a class of H filter design for linear time-delay system. The time delay considered here is assumed to be satisfying a certain stochastic characteristic. Corresponding to the probability of the delay taking value in different intervals, a stochastic variable satisfying Bernoulli random binary distribution is introduced and a new system model is establis... View full abstract»

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  • Human elbow joint angle estimation using electromyogram signal processing

    Publication Year: 2011 , Page(s): 767 - 775
    Cited by:  Papers (2)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (603 KB)  

    This study proposes a real-time joint angle estimation method of human elbow by processing a biomedical signal of surface synergistic EMG (electromyogram) measured between biceps brachii and triceps brachii simultaneously. Actually, the EMG is known as a non-stationary signal, but the authors assume that it is quasi-stationary because a physical or physiological system has limitations in the rate ... View full abstract»

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