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Image and Signal Processing and Analysis (ISPA), 2011 7th International Symposium on

Date 4-6 Sept. 2011

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Displaying Results 1 - 25 of 137
  • Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis [Front cover]

    Publication Year: 2011 , Page(s): c1
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  • [Title page]

    Publication Year: 2011 , Page(s): i
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  • [Copyright notice]

    Publication Year: 2011 , Page(s): ii
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  • Preface

    Publication Year: 2011 , Page(s): iii
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  • Acknowledgements

    Publication Year: 2011 , Page(s): iv
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  • Contents [2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA)]

    Publication Year: 2011 , Page(s): v - xii
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  • Organizing committee

    Publication Year: 2011 , Page(s): 1
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  • Reviewers

    Publication Year: 2011 , Page(s): 2 - 3
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  • Recursive controllers for nonlinear active noise control

    Publication Year: 2011 , Page(s): 9 - 14
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (988 KB) |  | HTML iconHTML  

    In this paper, we refer to the class of recursive linear-in-parameters nonlinear filters, i.e., the filters whose output depends linearly on their coefficients. In particular, we consider and compare the implementations and performance of three members of the class, i.e., recursive functional link artificial neural network, recursive second-order Volterra, and bilinear filters. To simplify the non... View full abstract»

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  • Compensated sharpened comb decimation filter

    Publication Year: 2011 , Page(s): 15 - 19
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (254 KB) |  | HTML iconHTML  

    This paper presents the design of the two-stage comb-based decimation filter with a very low wideband pass band droop and a high stop band attenuation of the overall filter. The first stage is the cascaded comb filter implemented in a non recursive form. The polyphase decomposition is applied to this stage to avoid the filtering at the high input rate. Two compensation filters have been applied, o... View full abstract»

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  • Cyclotomic polynomial filters based on cascaded recursive building blocks with minimum number of additions

    Publication Year: 2011 , Page(s): 20 - 25
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (211 KB) |  | HTML iconHTML  

    The design of low-complexity filters based on the first 104 Cyclotomic Polynomials (CPs) has received great interest because CPs have coefficients belonging to the set {-1, 0, 1}, thus yielding simple and efficient multiplierless structures. Recently, the design of CP filters has been extended in a search space containing the first 200 CPs and it has been shown that their recursive z-transfer func... View full abstract»

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  • A robust improvement of the ICI rule for signal denoising

    Publication Year: 2011 , Page(s): 26 - 31
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (237 KB) |  | HTML iconHTML  

    Denoising is an important issue in signal processing. Noise, caused by sensors or by quantization effects during digitalization or compression, can significantly influence the processing results. Hence, removing the noise, or extracting the signal with minimal distortion is a valuable objective for many applications. In this paper, we propose a novel robust denoising method. It originates from a l... View full abstract»

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  • EM-Based joint symbol and blur estimation for 2D barcode

    Publication Year: 2011 , Page(s): 32 - 36
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (381 KB) |  | HTML iconHTML  

    Decoding a severely blurred 2D barcode can be considered as a special case of blind image restoration issue. In this paper, we propose an appropriate system model which includes the original image with the particularities related to barcode, the blur and the observed image. We develop an unsupervised algorithm that jointly estimates the blur and detects the symbols using the maximum likelihood (ML... View full abstract»

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  • Use of The Error Vector Magnitude for low-complex bit loading in Orthogonal Frequency Division Multiplexing

    Publication Year: 2011 , Page(s): 42 - 45
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (234 KB) |  | HTML iconHTML  

    This paper deals with the adaptive bit loading of Orthogonal Frequency Division Multiplexing. The use of Error Vector Magnitude in greedy algorithm as well as in the particle swarm optimization is discussed. The results are evaluated using the MATLAB simulation. The use of Error Vector Magnitude can avoid the use of complex bit error rate calculation or channel state information measurements. View full abstract»

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  • A new method for blind synchronization for OFDM/OQAM systems

    Publication Year: 2011 , Page(s): 46 - 51
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (363 KB) |  | HTML iconHTML  

    The paper deals with the problem of blind synchronization for OFDM/OQAM systems. Specifically, by exploiting the approximate conjugate-symmetry property of the beginning of a burst of OFDM/OQAM symbols, due to the presence of the time offset, a new procedure for timing and CFO synchronization is proposed. The performance of the proposed estimators is analyzed by computer simulations; the results s... View full abstract»

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  • Multipoint room response equalization with group delay compensation: Subjective listening tests

    Publication Year: 2011 , Page(s): 57 - 62
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1132 KB) |  | HTML iconHTML  

    In a recent paper, a multipoint mixed-phase room response (RR) equalization system, integrating a minimum-phase multiple position room amplitude equalizer and a FIR group delay equalizer, was proposed. In this RR equalization system, both the room amplitude equalizer and the group delay equalizer are designed in the frequency domain with a simple and computationally efficient but also effective an... View full abstract»

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  • Signal reconstruction using bispectrum without translation uncertainty

    Publication Year: 2011 , Page(s): 63 - 67
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (771 KB) |  | HTML iconHTML  

    Higher order spectra analysis can be employed to reconstruct a corrupted signal via the third-order spectrum, i.e. the bispectrum. However, this technique is plagued by an unknown misplacement of the origin of the restored signal, this being true both for 1D signals such as audio and 2D signals such as images. In this contribution we tackle and solve the misplacement in the 1D case. We first prese... View full abstract»

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  • Estimation of the drill bit angular velocity using accelerometer measurements and extended Kalman filters

    Publication Year: 2011 , Page(s): 68 - 71
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (388 KB) |  | HTML iconHTML  

    In this paper, an extended Kalman filter model is proposed to estimate the angular velocity of a drilling shaft based on the accelerometer measurements of a downhole recording tool mounted on the drill rod. The method allows tracking the severity of torsional vibrations in real-time. The results outline the advantages of the proposed method in particular its ability to capture events of backward r... View full abstract»

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  • A new approach to system identification and parameter tuning with multiple model adaptive estimators

    Publication Year: 2011 , Page(s): 72 - 77
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (515 KB) |  | HTML iconHTML  

    Multiple model adaptive estimators have been used as a standard technique in system identification and systems state estimation. In its classical application, this method picks up the most probable model from a fixed set of pre-established models. This paper presents a new method, relying on multiple model adaptive estimators, that defines a set of models, with cardinality dependent on the number ... View full abstract»

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  • An online transcription algorithm for Query-by-Humming applications using Extended Kalman Filter Frequency Tracker

    Publication Year: 2011 , Page(s): 78 - 83
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (337 KB) |  | HTML iconHTML  

    In this paper, an on-line algorithm for automatic transcription of humming voice signal is proposed which is used in on-line Query-by-Humming systems. This algorithm consists of two stages: the first stage extracts the fundamental part of the humming voice by means of an octave detector. Constructing a state-space model for this mono-harmonic signal is extremely simpler than that of original signa... View full abstract»

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  • Subjective evaluation of a multiple position room response equalization approach applied in frequency domain

    Publication Year: 2011 , Page(s): 84 - 89
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1345 KB) |  | HTML iconHTML  

    A subjective analysis of the sound quality enhancement obtained by a frequency-domain multipoint equalization algorithm, suitable for magnitude equalization, is here presented. The algorithm used for the equalization can be divided in two phases. In the first step, the filter prototype which represents the behavior of the entire environment, is derived in the frequency domain from a set of impulse... View full abstract»

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  • Neural network architectures for speaker independent phoneme recognition

    Publication Year: 2011 , Page(s): 90 - 94
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (204 KB) |  | HTML iconHTML  

    Two different neural network architectures were designed for speaker independent phoneme recognition systems. The first architecture consists of the Radial Basis Function (RBF), while in the second architecture a Self-Organising Maps (SOM) neural network replaces the RBF. The Discrete Wavelet Transform (DWT) is used for feature extraction in both systems. Both systems were tested on the TIMIT data... View full abstract»

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  • Emotional speech corpus of Croatian language

    Publication Year: 2011 , Page(s): 95 - 100
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2492 KB) |  | HTML iconHTML  

    As a first step in developing an emotion recognition system from human voice, it is necessary to collect relevant set of emotionally rich utterances that will be used for system training. Thus, a first emotional speech corpus of Croatian language (KEG) was built and annotated. The collection and annotation process together with some interesting statistical properties of the designed corpus are des... View full abstract»

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  • EEG Analyzer prototype based on FPGA

    Publication Year: 2011 , Page(s): 101 - 106
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (972 KB) |  | HTML iconHTML  

    The paper presents an implementation of a FPGA-based prototype for an EEG Analyzer device. It is a portable biomedical device that performs electroencephalographic (EEG) signal analysis targeted at real-time in-field diagnostics of human brain disorders such as depression. The analysis is based on an original algorithm for calculation of spectral asymmetry index (SASI). The paper provides implemen... View full abstract»

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  • Noise resilience through band-limitation in signal regression analysis

    Publication Year: 2011 , Page(s): 107 - 112
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (281 KB) |  | HTML iconHTML  

    Linear regression is used in signal analysis when other methods like artificial neural networks or support vector machines either lack the ability to represent the result in form of a signal or cannot be applied to continuous target values. However, signal noise may lead to unstable noisy solutions with bad performance on non-trained data, especially for underdetermined systems. This work develops... View full abstract»

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