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Signal Processing Algorithms, Architectures, Arrangements and Applications, 2007

Date 7-7 Sept. 2007

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Displaying Results 1 - 25 of 34
  • [Front cover]

    Page(s): c1
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    Freely Available from IEEE
  • Table of contents

    Page(s): 3 - 4
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    Freely Available from IEEE
  • General information

    Page(s): 5
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    Freely Available from IEEE
  • Embedded fault diagnosis for digital logic exploiting regularity

    Page(s): 7 - 12
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1577 KB) |  | HTML iconHTML  

    Fault diagnosis for digital integrated circuits has become a matter of intense research in recent years. The reason is that only a fast feedback loop between IC production and testing can facilitate high figures of production yield in nanometer IC technologies. Looking at emerging technologies of IC built-in self repair, fault diagnosis “in the field” is a pre-condition for self-repair. However, then the availability of reference data for fault diagnosis becomes a crucial bottleneck because of limited memory resources. The paper tries to identify possible solutions to the problem, using specific properties of digital signal processing circuits. View full abstract»

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  • Parallel digital signal processing using multi-issue instructions

    Page(s): 13 - 20
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1127 KB) |  | HTML iconHTML  

    This paper presents aspects of parallelism of computations in processing of signals using digital signal processors (DSPs) with multi-issue assembler instructions. We present general features of the contemporary DSPs with special attention paid to the VLIW architecture. In order to illustrate the multi-issue instruction technique we analyze performance of the fixed-point Blackfin processor by means of chosen typical signal processing tasks realized using VisualDSP++ 4.5 environment with Software Development Kit 2.01. Aspects of the floating-point processing are analyzed using Sharc and TigerSharc processors. View full abstract»

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  • Reduced Triple Modular redundancy for built-in self-repair in VLIW-processors

    Page(s): 21 - 26
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (107 KB) |  | HTML iconHTML  

    In this paper we propose a new idea for built-in-self-repair of application specific VLIW processors, which relies on a special kind of triple modular redundancy, which we call Reduced Triple Modular Redundancy (RTMR). The key idea is to employ the redundancy of operators in the data path of a VLIW processor. I.e., every operation is executed twice by two different operators during normal program execution. Only in case a mismatch between both computed results occurs, the operation is executed by a third operator. Therefore, during most of the execution time, the third operator can be used for executing regular operations of the program. We propose modifications of the VLIW architecture in order to detect a mismatch in computed results. Necessary program transformations are introduced, in order to obtain an internal representation for fault tolerant programs that can be scheduled to the proposed VLIW architecture. Furthermore, we propose the program execution model that is used in case a permanent fault in the data path has been detected and give some preliminary results. View full abstract»

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  • Low complexity image coding algorithm for capsule endoscopy with Bayer color filter array

    Page(s): 27 - 32
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1376 KB) |  | HTML iconHTML  

    The paper describes image compression algorithm suitable for wireless capsule endoscopy with Bayer color filter array (CFA). Due to power limitation, small size conditions and specific image data format, traditional image compression techniques are not appropriate and dedicated ones are necessary. The proposed algorithm is based on integer version of discrete cosine transform (DCT) and wavelet transform (DWT) and Huffman entropy coder. Thanks to integer DCT/DWT application it has low complexity and power consumption. Additionally, the algorithm can provide lossless compression as well as high-quality lossy compression. View full abstract»

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  • LFM radar signal detection in the joint time-frequency domain

    Page(s): 33 - 37
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (198 KB) |  | HTML iconHTML  

    The paper presents a detection performance of the LFM radar signal using the Radon and Hough transform. Such a transforms extracts the line equation from the time-frequency image. The main problem which is considered in the paper is the autonomous search process of the LFM signal by the intercept receiver. It is supposed that a priori information concerning the signal duration and time delay is unknown. In this case the WVD of the signal can be splitted and performance characteristics degrade. The computer simulations are carried out for different values of the moving window width, search velocity and signal-to-noise ratio (SNR). View full abstract»

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  • Notch filtering in power line communication

    Page(s): 39 - 43
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (267 KB) |  | HTML iconHTML  

    The power line communication (PLC), apart from the wireless one, is expected to become in the near future one of the most important technology of high-definition multimedia streaming in home environment. However, in order to realize this very optimistic scenario efficient combating synchronous and asynchronous impulsive disturbances, is necessary since they are especially harmful for assuring appropriate transmission bitrate and quality of service. In the paper potential application of notch filtering in the OFDM-based PLC environment is discussed and additionally compared to a novel modulation scheme proposed recently by the authors that makes use of circular real sine/cosine Gabor transform. View full abstract»

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  • Interpolation of complex dynamic trajectory for hand-written signature verification

    Page(s): 45 - 50
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (448 KB) |  | HTML iconHTML  

    In the paper the problem of complex trajectory interpolation for hand-written signature recognition is analyzed. Usefulness of interpolation as an unification component for further comparison of signatures as well as for extraction of different representations of the trajectory is discussed and illustrated using examples of collected signatures. View full abstract»

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  • Design of eight-band oversampled linear phase paraunitary filter banks using quaternion multiplication matrices

    Page(s): 51 - 56
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (249 KB) |  | HTML iconHTML  

    Redundant signal representations provided by oversampled filter banks have recently found applications in signal processing. Their overcompleteness is useful for error-resilient and high-quality coding, whereas denoising and texture analysis benefit from their shift-invariance. Although paraunitary filter banks are mainly considered in the related works, fixed-point implementation of such systems remains an open problem. In this paper, we present quaternionic lattice structure for eight-band oversampled linear-phase paraunitary filter banks (OLPPUFBs) which guarantees orthogonality of the filters regardless of the coefficient precision. View full abstract»

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  • Fast filtering by generalized convolution related to discrete trigonometric transforms

    Page(s): 57 - 62
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (583 KB) |  | HTML iconHTML  

    The authors show that for a family of discrete trigonometric transforms (the set of 16 transforms), filters, which are typically defined and computed in the transform domain by means of static but dense multiplications, can be realized directly in the primary domain using the so-called generalized convolution. This concept is based on the generalized convolution matrices, which are distinct for each transform. These matrices are either sparse or can be made sparse at the cost of some slight and usually fully acceptable approximation. It is shown that filtering with the generalized convolution matrices may require less computations than typical filtering procedures performed in the transform domain, even if fast algorithms for the forward and for the inverse transformations are used. The theoretical results are illustrated and verified with examples of half-band low-pass filters. View full abstract»

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  • LDPC code optimization for diversity reception and turbo equalization

    Page(s): 63 - 68
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (203 KB) |  | HTML iconHTML  

    Iterative “turbo” decoding of parallel or serial concatenated convolutional codes (CC) allows for a performance close to Shannon's channel capacity limit. Whereas “turbo” equalization (TE) for intersymbol interference (ISI) channels corresponds to serial concatenation, we show that the turbo decoding principle for parallel concatenation can be extended to a diversity receiver concept. “Turbo diversity” outperforms maximum-ratio combining (MRC) in forward error correction (FEC) encoded broadcast systems like “Digital Radio Mondiale” (DRM). In addition, we apply low-density parity-check (LDPC) codes instead of CC to turbo equalization and to turbo diversity, where an LDPC code design using fitted extrinsic information transfer (EXIT) functions is applied to optimize the system performance. View full abstract»

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  • Optimization of hidden layer in a neural network used to predict bladder-cancer patient-survival

    Page(s): 69 - 74
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (348 KB) |  | HTML iconHTML  

    A problem of establishing an optimal number of neurons in a hidden layer of a perceptron network used to predict survival time of patients with bladder cancer has been discussed. Our considerations are important in postoperative treatments of this illness. The applied neural network is a three layer one with one hidden layer. Its designing and testing investigations were performed in MATLAB environment. As the network teaching method, classical error back-propagation algorithm with a momentum factor was applied. For the assumed model of the problem, we have obtained a characteristic graph of the function describing false results of the survival predictions. We have utilized a representative training set and investigated the network for different number of neurons in the hidden layer. A distinct error minimum has been observed for 13 neurons in this layer. It is not out of the question that the character of the achieved curve is repeatable for different input/output vectors and may be practicable for determining the number of neurons in networks dedicated to biological models. View full abstract»

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  • Digital complex sinusoidal osciliators with outputs in quadrature

    Page(s): 75 - 80
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (306 KB) |  | HTML iconHTML  

    In the paper a novel method of designing of a digital complex sinusoidal oscillator is presented and its properties are discussed. Next, the proposed method is used to design an oscillator with two sinusoidal waves of the same frequency and amplitude but of π/2 phase difference between them. A new realization of the oscillator is proposed and purity of the signals generated in floating-point in the MATLAB environment has been analyzed. View full abstract»

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  • Timing errors analysis of OFDM systems based on joint Cyclic-prefix and postfix

    Page(s): 81 - 86
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (191 KB) |  | HTML iconHTML  

    OFDM systems are sensitive to timing synchronization errors that refers to incorrect detection of the start position of an OFDM symbol. In this paper, first by considering cyclic-prefix (CPre) as a guard interval, formulas for various types of signal-to-interference (SIR) ratio in terms of timing errors are presented. Further we utilize CPre and Cyclic-postfix (CPost) jointly as a guard interval, and draw new SIR formulas. The simulations are performed in three different channels for DAB systems. As a result without any loss in bandwidth efficiency, the performance of DAB systems (based on joint CPre and CPost) would be more increased. View full abstract»

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  • Median predictor-based lossless video compression algorithm for IR image sequences

    Page(s): 87 - 90
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (637 KB) |  | HTML iconHTML  

    Lossless image compression has long been recognized as an important need for several applications such as medical imaging, storage of critical IR image sequences and remote sensing. In this paper, we propose a simple, fast and easy to realizable-on-hardware lossless video compression algorithm that is well suited for IR imageries. Context based median predictor is used for prediction of reference pixels. Three neighboring pixels are used as context for prediction. Interframe coding is performed by encoding the redundant pixels in an efficient way, using one bit code. Finally the arithmetic coder is used as entropy coding. The proposed algorithm is able to operate in image compression mode as well as video compression mode. The proposed MPLVC (Median Predictor based Lossless Video Compression) algorithm is compared with JPEG-LS (Joint Pictures Experts Group-Lossless) and FELICS (Fast and Efficient Lossless Image Compression System) for compression performance. The results demonstrate that proposed algorithm is superior in encoding rate with added advantage in simplicity and ease in realization on hardware. View full abstract»

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  • Farrow structure for complex digital Hilbert filter of low complexity

    Page(s): 91 - 96
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (891 KB) |  | HTML iconHTML  

    In this paper we analyze the complexity of Hilbert Transform Filters (HTF) composed of two Variable Fractional Delay Filters Rotated (VFDR). HTF combines both Hilbertian and fractional delay filtering in one step. One of the most important advantages of this system lies in the usage of a Farrow structure, which allows on-line tuning of filter characteristics. To reduce the complexity of designed filter we employ the symmetry of the coefficients representing the impulse response and ability to share the delay elements within the branch filters and we use the same filters in both real and imaginary part of the system. View full abstract»

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  • Subband adaptive algorithms based on warped cosine-modulated filter bank

    Page(s): 97 - 102
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (527 KB) |  | HTML iconHTML  

    This paper investigates the properties of adaptation algorithms based on a warped cosine-modulated filter bank. The high-quality filter bank which approximates the Bark scale serves as the foundation of subband variants of three well-known adaptation algorithms. Namely, Normalized Least Mean Squares, Recursive Least Squares and Affine Projection algorithms are investigated in the following study, in terms of their better convergence behavior and the reduction of computation complexity, compared with fullband solutions. View full abstract»

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  • A detection algorithm of LPI radar signals

    Page(s): 103 - 108
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2031 KB) |  | HTML iconHTML  

    Low Probability Intercept (LPI) signals are a class of radar signals that possess certain features (low power, wide bandwidth, frequency variability, ...) that make them difficult detectable by today's intercept receivers. The paper describes implementation of a LPI radar signal detection algorithm based on two-dimensional signal representation, noise reduction, features vector extraction and a Radial Basis Function (RBF) neural network probability density function estimator which is used for the final LPI signal detection. The numerical simulation results for detection of the chirp signal are presented. View full abstract»

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  • Magnetic resonance Angiography- an advanced technique in MRI using flow imaging

    Page(s): 109 - 114
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (189 KB) |  | HTML iconHTML  

    Magnetic resonance angiography (MRA) produces images of flowing blood. The intensity in these images is proportional to the velocity of the flow. It produces an image, which distinguishes between static and flowing blood. There are three general types of MRA, time-of-flight, phase contrast angiography, and contrast enhanced angiography. View full abstract»

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  • All optical wavelength conversion using cross gain modulation in Erbium doped fiber amplifier

    Page(s): 115 - 118
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1036 KB) |  | HTML iconHTML  

    An analytical model is developed for a novel all-optical wavelength converter based on cross-gain modulation (XGM) in an Erbium doped fiber amplifier (EDFA). The gain saturation effect of EDFA is utilized to transfer the modulation from the input modulated signal to the unmodulated pump signal. Performance results are evaluated in terms of wavelength conversion efficiency for given parameters of EDFA and wavelength detuning between the pump and input signal. It is found that approximately 0 dB/mW or 100% conversion efficiency can be achieved with XGM based EDFA wavelength converter over a wavelength separation of 70nm between the pump and input signal with length of EDFA of 12m and normalized input pump power of 25. Efficiency is found to be flat over a wide range of wavelength separation. View full abstract»

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  • Design of two-channel linear-phase fir biorthogonal filter banks

    Page(s): 119 - 123
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (809 KB) |  | HTML iconHTML  

    In the paper, a new method for the design of two-channel linear-phase biorthogonal FIR filter banks is presented. The method is based on the trade-off between obtaining the equiripple reconstruction error and satisfying other additional requirements. The filter bank design problem is solved by means of its transformation into an equivalent multicriterion optimization problem. Two design examples are given to illustrate the usefulness of the proposed technique. View full abstract»

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  • On classification of linear shift-invariant systems

    Page(s): 125 - 127
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (184 KB) |  | HTML iconHTML  

    In this conference paper some new results regarding the classification of linear shift-invariant systems are presented. They are based on the Sandberg's recently published theorem on a representation for linear system maps. View full abstract»

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  • HFCC based recognition of bird species

    Page(s): 129 - 134
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (805 KB) |  | HTML iconHTML  

    Results from preliminary research on recognition of Polish birds' species are presented in the paper. Bird voices were recorded in a highly noised municipal environment. High 96 kHz sampling frequency has been used in order to record birds' voices. As a feature set standard mel-frequency cepstral coefficients (MFCC) and recently proposed human-factor cepstral coefficients (HFCC) parameters were selected. Superior performance of the HFCC features over MFCC ones has been observed. Proper limiting of the maximal frequency during HFCC feature extraction results in increasing accuracy of birds' species recognition. Good initial results are very promising for practical application of the methods described in the paper in monitoring of protected birds' area. View full abstract»

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