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Signal Processing Letters, IEEE

Issue 8 • Date Aug. 2007

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Displaying Results 1 - 23 of 23
  • Table of contents

    Publication Year: 2007 , Page(s): C1 - C4
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  • IEEE Signal Processing Letters publication information

    Publication Year: 2007 , Page(s): C2
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  • Z-complementary Binary Sequences

    Publication Year: 2007 , Page(s): 509 - 512
    Cited by:  Papers (22)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (136 KB) |  | HTML iconHTML  

    In this letter, Z-complementary sequences are introduced. These sequences include the conventional complementary sequences as special cases. It is shown that, different from the normal complementary pair of binary sequences which exist only for very limited lengths, i.e., 2a10b26c for a,b,cges0, a Z-complementary pair of binary sequences exists for many more lengths. In addition, for a Z-complementary set with zero correlation zone Z, P binary sequences, each having length N, the maximum number of distinct Z-complementary mates is smaller than or equal to P[N/Z]. View full abstract»

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  • On the Misbehavior of Constant Modulus Equalizers for Improper Modulations

    Publication Year: 2007 , Page(s): 513 - 516
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (195 KB) |  | HTML iconHTML  

    In this letter, the constant-modulus (CM) cost function is analyzed under the general assumptions that improper modulation schemes of practical interest are employed and the baseband equivalent of the channel impulse response is complex-valued. This study allows one to determine a broad family of undesired minima of the CM cost function, which do not lead to perfect symbol recovery in the absence of noise. The results developed herein generalize and subsume as a particular case existing studies of the CM cost function, which exclusively consider real-valued binary modulations. View full abstract»

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  • Design of 2-D Mth Band Lowpass FIR Eigenfilters With Symmetries

    Publication Year: 2007 , Page(s): 517 - 520
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1258 KB) |  | HTML iconHTML  

    In this letter, we extend the eigenfllter filter design method for the design of two-dimensional Mth band lowpass filters, with the filter impulse response having quadrantal or diagonal symmetry. We show that imposing the Mth band and symmetry constraints puts restrictions on the possible choices of the matrix M. We identify sufficient conditions on M, and show a class of matrices satisfying those conditions, so that Mth band lowpass filters with quadrantal or diagonal symmetry can be designed. View full abstract»

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  • Automatic Classification of Musical Genres Using Inter-Genre Similarity

    Publication Year: 2007 , Page(s): 521 - 524
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (205 KB) |  | HTML iconHTML  

    Musical genre classification is an essential tool for music information retrieval systems and it has potential to become a highly demanded application in various media platforms. Two important problems of the automatic musical genre classification are feature extraction and classifier design. In this letter, we propose two novel classifiers using inter-genre similarity (IGS) modeling and investigate the use of dynamic timbral texture features in order to improve automatic musical genre classification performance. Inter-genre similarity is modeled over hard-to-classify samples of the musical genre feature space. In the classification, samples within inter-genre similarity class are eliminated to reduce inter-genre confusion and to improve genre classification performance. Experimental results show that the proposed classifiers provide better classification rates than the existing methods. View full abstract»

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  • A Capacity Result for Batch Steganography

    Publication Year: 2007 , Page(s): 525 - 528
    Cited by:  Papers (16)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (166 KB) |  | HTML iconHTML  

    The problems of batch steganography and pooled steganalysis, proposed in , generalize the problems of hiding and detecting hidden data to multiple covers. It was conjectured that, given covers of uniform capacity and a quantitative steganalysis method satisfying certain assumptions, "secure" steganographic capacity is proportional only to the square root of the number of covers. We now prove that, with respect to a natural definition of secure capacity, and in a suitably asymptotic sense, this conjecture is true. This is in sharp contrast to capacity results for noisy channels. View full abstract»

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  • An Affine Projection Algorithm With Dynamic Selection of Input Vectors

    Publication Year: 2007 , Page(s): 529 - 532
    Cited by:  Papers (22)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (388 KB) |  | HTML iconHTML  

    We present a novel affine projection algorithm (APA) which dynamically selects input vectors in order to improve convergence performance. The optimum selection of the input vectors is derived by the largest decrease of the mean-square deviation. The experimental results show that the proposed algorithm has a fast convergence speed and a small steady-state error compared to the conventional APA. In addition, the proposed algorithm retains a low overall computational complexity. View full abstract»

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  • On The Time Constant Under General Error Criterion

    Publication Year: 2007 , Page(s): 533 - 536
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (210 KB) |  | HTML iconHTML  

    Time constant along with misadjustment offers a manner of analyzing the convergence behavior of adaptive algorithms. In particular, there are some advantages of using nonlinear functions of the error instead of linear ones to have enhanced convergence behavior. However, some equations for the time constant suggested in the literature are noise dependent, yielding an infinite value for the noiseless case, which is obviously wrong. This problem may explain the fact that no works compared the time constants theoretically found to those derived in practice. In this letter, we derive a new time constant which depends on both the inputs and the noise. The results show that the found equation conforms to practical results. View full abstract»

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  • EMD Sifting Based on Bandwidth

    Publication Year: 2007 , Page(s): 537 - 540
    Cited by:  Papers (19)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (184 KB) |  | HTML iconHTML  

    Empirical-mode decomposition (EMD) provides a powerful tool for adaptive multiscale analysis of nonstationary signals. Aiming at the intrinsic mode function (IMF) criteria in sifting process and the scale mixing problem in EMD, this paper proposes a bandwidth criterion for IMF. By analyzing the simulated signal, it is confirmed that the IMFs obtained with the bandwidth criterion approximate the real components better and reflect the intrinsic information of the analyzed signal. Furthermore, the criterion based on bandwidth can weaken the scale mixing problem. View full abstract»

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  • Directionally Constrained Filterbank ICA

    Publication Year: 2007 , Page(s): 541 - 544
    Cited by:  Patents (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (231 KB) |  | HTML iconHTML  

    A modification is proposed to the independent component analysis (ICA)-based filterbank approach in consideration to its structural similarity with binaural auditory model of sound source localization. The estimated sound locations provide an additional cue to the learning algorithm, which is utilized for initialization and imposition of directional constraints on the subband separation networks. Directionally constrained filterbank ICA (DC-FBICA) gives faster convergence and improves separation performance for noisy mixtures having significant spectral overlap among the convolved mixture and the corrupting noise. However, only slight improvement in separation performance is observed when the additive noise is a low frequency noise, although faster convergence is still observed. View full abstract»

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  • On the Optimal Alpha- k Curve of the Sample Myriad

    Publication Year: 2007 , Page(s): 545 - 548
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (189 KB) |  | HTML iconHTML  

    The alpha-k (alpha - k) curve is an important tool for real-time myriad filtering problems in channels with time-varying impulsiveness. In this letter, we use the asymptotic variance as the criterion to derive the optimal alpha - k curve. We then suggest a new expression for the optimal curve and compare it to the conjectured expression in earlier works. View full abstract»

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  • An Alternative Model for Target Position Estimation in Radar Processors

    Publication Year: 2007 , Page(s): 549 - 552
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (162 KB) |  | HTML iconHTML  

    In this paper, we analyze the target position estimation errors induced by conventional radar signal processors, which assume a point-target model in matched filtering-based detection and tracking. As we demonstrated through simulations, the performance degradation under the point-target assumption can be significant for high-resolution radars, where targets extend across several detection cells. One of the main contributions of this paper is to provide an alternative model for reflections from extended targets and clutter. We model the events of backscatters from illuminated targets and clutter as a nonhomogenous Poisson process. The corresponding maximum likelihood estimator and the Cramer-Rao lower bound have been derived. Typical target detection process has been simulated and the validity of the model has been verified by using the Kullback-Leibler distance. It has been shown that the new method significantly reduces target position estimation errors compared to the peak picking method. View full abstract»

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  • A Robust FIR Filter for Linear Discrete-Time State–Space Signal Models With Uncertainties

    Publication Year: 2007 , Page(s): 553 - 556
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (153 KB) |  | HTML iconHTML  

    This letter proposes a robust finite impulse response (FIR) filter for a class of linear discrete-time systems with quadratic bounded uncertainties. A set of all reachable current states under uncertainties is obtained from inputs and outputs measured on a recent finite time interval, which is represented in an ellipsoidal form. To minimize the maximum estimation error due to uncertainties, the center of the ellipsoid is chosen as an estimated state and the corresponding estimation error is obtained from the major axis of the ellipsoid. It is shown by simulation that the proposed robust FIR filter has a more robust performance than both robust infinite impulse response (IIR) filters and nominal FIR filters. View full abstract»

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  • Minimum Variance FIR Smoothers for Discrete-Time State Space Models

    Publication Year: 2007 , Page(s): 557 - 560
    Cited by:  Papers (12)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (112 KB) |  | HTML iconHTML  

    We propose a fixed-lag finite-impulse-response (FIR) smoother for a discrete-time state space model. The proposed FIR smoother estimates the state at the fixed-lag time using measured output samples on the recent finite time horizon so that the variance of the estimation error is minimized. The minimum variance FIR (MVFIR) smoother is unbiased and independent of any a priori information of the state on the horizon. A numerical example shows that the proposed MVFIR smoother has better performance than the fixed-lag Kalman smoother based on the infinite impulse response structure when transitory modeling uncertainties exist. View full abstract»

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  • An Intrinsic Metric for Power Spectral Density Functions

    Publication Year: 2007 , Page(s): 561 - 563
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (111 KB) |  | HTML iconHTML  

    We present an intrinsic metric that quantifies distances between power spectral density functions. The metric was derived by Georgiou as the geodesic distance between spectral density functions with respect to a particular pseudo-Riemannian metric motivated by a quadratic prediction problem. We provide an independent verification of the metric inequality and discuss certain key properties of the induced topology. View full abstract»

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  • The Constrained CramÉr–Rao Bound From the Perspective of Fitting a Model

    Publication Year: 2007 , Page(s): 564 - 567
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (113 KB) |  | HTML iconHTML  

    Stoica and Ng (1998) presented a simple expression for the constrained Cramer-Rao bound (CCRB) when the constraints are given by a differentiable function of the parameter to be estimated. This letter considers the parallel case in developing the CCRB when the parameters are locally fitted to a lower-dimensional parametric model, i.e., the parameters are locally assumed to be functions of a distinct reduced parameter vector. We employ classical elements of CRB theory on the locally fitted model to present a very simple derivation of the CCRB, conditions for attaining the bound, and a regularity condition. Examples illustrate the key ideas. View full abstract»

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  • Switching Auxiliary Chains for Speech Recognition

    Publication Year: 2007 , Page(s): 568 - 571
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (132 KB) |  | HTML iconHTML  

    This letter investigates the problem of incorporating auxiliary information, e.g., pitch, zero crossing rate (ZCR), and rate-of-speech (ROS), for speech recognition using dynamic Bayesian networks. In this letter, we propose switching auxiliary chains for exploiting different auxiliary information tailored to different phonetic states. The switching function can be specified by a priori knowledge or, more flexibly, be learned from data with information-theoretic dependency selection. Experiments on the OGI Numbers database show that the new model achieves 7% word-error-rate relative reduction by jointly exploiting pitch, ZCR, and ROS, while keeping almost the same parameter size as the standard HMM. View full abstract»

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  • Comments on “A Rational Discrete Approximation to the Operator s0.5

    Publication Year: 2007 , Page(s): 572
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (46 KB) |  | HTML iconHTML  

    It is pointed out that the continued fraction expansion on which the approximation in Maione's paper is based (see ibid., vol.13, no.3, p.141-4, 2006) has been known and used earlier. View full abstract»

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  • Reply to “Comments on “A Rational Discrete Approximation to the Operator s0.5 ””

    Publication Year: 2007 , Page(s): 573
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (44 KB)  

    The author applied a general recursion to construct the continued fractions expansion (CFE) of radics. Moreover, the focus of the paper was on the discrete approximation of radics and its performance. View full abstract»

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  • IEEE Signal Processing Letters Information for authors

    Publication Year: 2007 , Page(s): 574 - 575
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  • 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'08)

    Publication Year: 2007 , Page(s): 576
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    Freely Available from IEEE
  • IEEE Signal Processing Society Information

    Publication Year: 2007 , Page(s): C3
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    Freely Available from IEEE

Aims & Scope

The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Peter Willett
University of Connecticut
Storrs, CT 06269
peter.willett@uconn.edu