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IEEE Signal Processing Letters

Issue 10 • Date Oct. 2006

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Displaying Results 1 - 24 of 24
  • Table of contents

    Publication Year: 2006, Page(s):c1 - c4
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  • IEEE Signal Processing Letters publication information

    Publication Year: 2006, Page(s): c2
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  • A Nonparametric VSS NLMS Algorithm

    Publication Year: 2006, Page(s):581 - 584
    Cited by:  Papers (148)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (394 KB) | HTML iconHTML

    The aim of a variable step size normalized least-mean-square (VSS-NLMS) algorithm is to try to solve the conflicting requirement of fast convergence and low misadjustment of the NLMS algorithm. Numerous VSS-NLMS algorithms can be found in the literature with a common point for most of them: they may not work very reliably since they depend on several parameters that are not simple to tune in pract... View full abstract»

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  • Entropy-Based Time Window for Artifact Removal in UWB Imaging of Breast Cancer Detection

    Publication Year: 2006, Page(s):585 - 588
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (172 KB) | HTML iconHTML

    In this letter, we propose an entropy-based time window function for artifact removal in ultra-wideband (UWB) imaging of breast cancer detection. The artifact is due to the incident and skin-breast backscattered signal in such an imaging system. Observing that artifacts at different antennas are very similar, we define an entropy function in the antenna domain to measure the similarity of differen... View full abstract»

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  • Optimizing Polyphase Sequences for Orthogonal Netted Radar

    Publication Year: 2006, Page(s):589 - 592
    Cited by:  Papers (45)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (204 KB) | HTML iconHTML

    Orthogonal netted radar transmitter signals require a very low aperiodic autocorrelation peak sidelobe level (PSL), low aperiodic cross-correlation, and a good resilience to small Doppler shifts. A new set of polyphase sequences is presented with good correlation properties as well as resilience to Doppler shifts. These sequences are built using numerical optimization based on correlation properti... View full abstract»

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  • A Timing-Jitter Robust UWB Modulation Scheme

    Publication Year: 2006, Page(s):593 - 596
    Cited by:  Papers (2)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (165 KB) | HTML iconHTML

    Adopting ultra-short impulses in ultra-wide bandwidth (UWB) transmission make systems vulnerable to timing-jitter. To overcome this challenge, we propose a timing-hopping high-order waveform modulation scheme in this letter. Central to our design is the adaptation of a high-order monocycle (HOM) that can provide timing-jitter robust UWB communications View full abstract»

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  • An Analytical Pascal Matrix Transform for s -to- z Domain Transfer Functions

    Publication Year: 2006, Page(s):597 - 600
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (140 KB) | HTML iconHTML

    An analytical Pascal matrix transform is proposed for conversions of transfer functions between s- and z-domains. The transform is formulated uniformly for first-order s-to-z transforms, and its Pascal matrix is derived logically and analytically. The inverse transform is then formed in terms of its forward transform matrices without computing the matrix inverses. Computation examples show that th... View full abstract»

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  • On the DCT Coefficient Distributions

    Publication Year: 2006, Page(s):601 - 603
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (88 KB) | HTML iconHTML

    Explicit expressions are derived for the actual discrete cosine transform (DCT) coefficient distribution. Associated estimation procedures are also derived for ready use in practical applications View full abstract»

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  • Time-Varying Spectral Approximation of Filtered Signals

    Publication Year: 2006, Page(s):604 - 607
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (285 KB) | HTML iconHTML

    An approximation of the time-varying (Wigner) spectrum of a filtered signal is presented. The approximation is simple to apply, yet insightful, in that it shows the effects of the magnitude and phase of the frequency response of the filter on the time-frequency properties of the signal. In addition, the approximation yields the correct Fourier spectrum of the filtered signal, to within a complex c... View full abstract»

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  • The Generalized Wiener Process for Colored Noise

    Publication Year: 2006, Page(s):608 - 611
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (572 KB) | HTML iconHTML

    We define the generalized Wiener process as the output of a first-order differential equation when the input is an arbitrary stochastic input. This is in contrast to the standard Wiener process, where the input is white Gaussian noise. We obtain a simple explicit result for any input wide sense stationary random process, namely, that the Wigner spectrum of the output random process is the product ... View full abstract»

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  • On Filter Symmetries in a Class of Tree-Structured 2-D Nonseparable Filter-Banks

    Publication Year: 2006, Page(s):612 - 615
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (151 KB) | HTML iconHTML

    In one-dimensional (1-D) filter-banks (FBs), symmetries (or anti-symmetries) in the filter impulse-responses (which implies linear-phase filters) are required for symmetric signal extension schemes for finite-extent signals. In two-dimensional (2-D) separable FBs, essentially, 1-D processing is done independently along each dimension. When 2-D nonseparable FBs are considered, the 2-D filters (2-D ... View full abstract»

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  • Vector Quantization in Multiresolution Mesh Compression

    Publication Year: 2006, Page(s):616 - 619
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1147 KB) | HTML iconHTML

    Irregularly sampled triangular meshes contain vertices in a geometric space with arbitrary connectivity degrees. From a compression point of view, this letter presents a multiresolution analysis for irregular meshes using progressive vector quantization (VQ). We show that VQ exploits the joint distribution of coordinates in the geometric space, thus improving the compression efficiency. Based on t... View full abstract»

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  • Effects of Parametric Constraints on the CRLB in Gain and Phase Estimation Problems

    Publication Year: 2006, Page(s):620 - 623
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (149 KB) | HTML iconHTML

    The problem of estimating the direction-independent gain and phase characteristics of sensor arrays requires a boundary condition to solve the phase ambiguity of the solution. It has become common practice to use the constraint that the phase of the first element of the array is zero. By Cramer-Rao lower bound (CRLB) analysis, we show analytically for calibration on a single point source of an arr... View full abstract»

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  • Generalized Optimal Step-Size for Blind Multichannel LMS System Identification

    Publication Year: 2006, Page(s):624 - 627
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (253 KB) | HTML iconHTML

    The choice of step-size in adaptive blind channel identification using the multichannel least mean squares (MCLMS) algorithm is critical and controls its convergence rate, stability, and sensitivity to noise. In this letter, we derive the expression for an optimal step-size in the Wiener sense and investigate its properties. An implementation technique for the Wiener solution of the self-adaptive ... View full abstract»

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  • Convex Combination of Adaptive Filters for a Variable Tap-Length LMS Algorithm

    Publication Year: 2006, Page(s):628 - 631
    Cited by:  Papers (40)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (275 KB) | HTML iconHTML

    A convex combination of adaptive filters is utilized to improve the performance of a variable tap-length least-mean-square (LMS) algorithm in a low signal-to-noise environment (SNRles0 dB). As shown by our simulations, the adaptation of the tap-length in the variable tap-length LMS algorithm is highly affected by the parameter choice and the noise level. Combination approaches can improve such ada... View full abstract»

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  • On Nonparametric Estimation of 2-D Smooth Spectra

    Publication Year: 2006, Page(s):632 - 635
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (854 KB) | HTML iconHTML

    We consider the problem of smoothed nonparametric estimation of two-dimensional (2-D) spectra. In the one-dimensional (1-D) scenario, several methods have been developed in the past for the computation of nonparametric spectral estimates with lower variance than that of the standard periodogram. Some of these techniques can also be extended to the 2-D case. However, such methods usually require a ... View full abstract»

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  • Generalized LRT-Based Voice Activity Detector

    Publication Year: 2006, Page(s):636 - 639
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (766 KB) | HTML iconHTML

    A robust and effective voice activity detection (VAD) algorithm is proposed for improving speech recognition performance in noisy environments. The approach is based on well-known statistical tests based on the determination of the speech/non-speech bispectra by means of third-order auto-cumulants. This algorithm differs from many others in the way the decision rule is formulated being the statist... View full abstract»

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  • Automatic Speech Segmentation Based on Boundary-Type Candidate Selection

    Publication Year: 2006, Page(s):640 - 643
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB) | HTML iconHTML

    In this letter, we propose a new approach to improve the performance of automatic speech segmentation techniques for concatenative text-to-speech synthesis. Instead of using a single automatic segmentation machine (ASM), we make use of multiple ASMs to draw the final boundary time marks. Given multiple ASMs, the best time mark is chosen among the results provided by the multiple separate ASMs depe... View full abstract»

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  • Maximum Likelihood Linear Regression Adaptation for the Polynomial Segment Models

    Publication Year: 2006, Page(s):644 - 647
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (149 KB) | HTML iconHTML

    Speaker adaptation has long been applied to improve speech recognition performance of hidden Markov model (HMM)-based systems. Recently, the polynomial segment model (PSM) has been shown as a viable alternative that can significantly improve the performance of large vocabulary continuous speech recognition (LVCSR). In this letter, we extend the widely used HMM-based maximum likelihood linear regre... View full abstract»

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  • IEEE Signal Processing Letters Information for authors

    Publication Year: 2006, Page(s):648 - 649
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  • Special issue on human detection and recognition

    Publication Year: 2006, Page(s): 650
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  • Call for papers on network-aware multimedia processing and communications

    Publication Year: 2006, Page(s): 651
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  • 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

    Publication Year: 2006, Page(s): 652
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  • IEEE Signal Processing Society Information

    Publication Year: 2006, Page(s): c3
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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.

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Meet Our Editors

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