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Signal Processing Letters, IEEE

Issue 7 • Date July 2010

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Displaying Results 1 - 24 of 24
  • [Front cover]

    Page(s): C1
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  • IEEE Signal Processing Letters publication information

    Page(s): C2
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    Freely Available from IEEE
  • Table of contents

    Page(s): 621 - 622
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  • WTDM-Based {\rm M}^{3}{\rm H} Filter for Target Tracking in the Presence of Outliers

    Page(s): 623 - 626
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (191 KB) |  | HTML iconHTML  

    This letter proposes a waiting-time-dependent semi-Markov (WTDM) switching based multiple model multiple hypothesis (M3H) filter to track a target in the presence of outliers. Two models, namely, a normal noise model and an outlier model, are constructed in the semi-Markov system. The adaptive transition probabilities are derived as the functions of the waiting time of outliers (or the interval of outlier occurrences), and this waiting time is treated as a discrete random variable governed by an exponential pmf. Performance of the WTDM-based M3H filter is demonstrated through simulation experiments. The proposed WTDM-based M3H filter outperforms the existing interacting multiple model (IMM) filter, which was proposed for the same purpose. View full abstract»

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  • Visual Horizontal Effect for Image Quality Assessment

    Page(s): 627 - 630
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (341 KB) |  | HTML iconHTML  

    In this paper, an image quality metric is proposed by modeling the visual Horizontal Effect (HE) and saliency property over structural distortions. Specifically, Structrue SIMilarity (SSIM) is firstly performed to obtain the structural distortion map. Subsequently, the obtained distortion map is refined by the visual HE model, which depicts visual sensitivities of oriented stimuli over different oriented contents. Finally, in order to describe the local Human Visual System (HVS) conspicuities, a saliency pooling strategy is proposed to generate the resulting image quality index. The experimental results have demonstrated that the proposed method outperforms SSIM and Visual Information Fidelity (VIF), which indicates that the obtained similarity index is more consistent with the perceptual evaluation of image quality. View full abstract»

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  • Effect of Multiple Antennas at the Destination on the Diversity Performance of Amplify-and-Forward Systems With Partial Relay Selection

    Page(s): 631 - 634
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (174 KB) |  | HTML iconHTML  

    This letter considers the amplify-and-forward (AF) system consisting of a destination node with M antennas, and a source node and N relay nodes with a single antenna each. The “best” relay, which is selected depending on the instantaneous and partial channel knowledge, is assigned to assist the source transmission. By deriving the lower and upper bounds for the outage probability of the system, we show that the diversity order of min(M,N) can be achieved. This analysis gives a promising solution to improve the diversity performance of partial relay selection scheme. View full abstract»

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  • Efficient Data Hiding With Plus-Minus One or Two

    Page(s): 635 - 638
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (138 KB) |  | HTML iconHTML  

    In steganographic applications, the data-hiders always pursue good rate-distortion performance. A novel steganographic scheme with the allowable modifications {-2, -1, 0, +1, +2 } is proposed, in which the secret data are embedded into the least significant bits (LSB), second LSB and third LSB of cover samples using a triple-layered construction. When embedding secret data into the LSB, the cover samples that should be modified by one are located. In the second LSB embedding, adding one or subtracting one for the located samples are determined, and the samples that should be modified by two are chosen. With data-embedding in the third LSB, the selections of addition or subtraction of two at the suitable samples are made. This way, a family of data-hiding methods can be generated, and their rate-distortion performance approaches the theoretical upper bound. View full abstract»

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  • Tensor Voting Based Text Localization in Natural Scene Images

    Page(s): 639 - 642
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (369 KB) |  | HTML iconHTML  

    A new and efficient text localization method by tensor voting is proposed. Tensor voting is used to extract the text line information based on the observation that the text characters are situated close together and arranged in a line or on a smooth curve. The text line information is useful to reduce the false positive rate in region-based text localization methods. The experimental results obtained for different types of natural text images show that the proposed method successfully detects the text regions with a low false-positive rate. View full abstract»

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  • Channel-Aware Energy Efficient Transmission Strategies for Large Wireless Sensor Networks

    Page(s): 643 - 646
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (160 KB) |  | HTML iconHTML  

    We propose a channel-aware type-based multiple access (TBMA) scheme for longer lifetime of WSNs. In an effort to minimize data transmission, the proposed scheme allows a set of sensors to be opportunistically activated in TBMA when their channel gains are higher than a threshold broadcasted by the fusion center. In each transmission, the activated sensors control their transmit power in a way to maximize an error exponent of the detection error performance. We analyze the DEPs of the proposed scheme and show that it provides significant energy saving as compared to the random selection scheme especially in the low signal-to-noise ratio regime where most of power-limited sensors are working. View full abstract»

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  • A Highly Effective Impulse Noise Detection Algorithm for Switching Median Filters

    Page(s): 647 - 650
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (886 KB) |  | HTML iconHTML  

    Under the framework of switching median filtering, a highly effective algorithm for impulse noise detection is proposed aiming at providing solid basis for subsequent filtering. This algorithm consists of two iterations to make the decision as accurate as possible. Two robust and reliable decision criteria are proposed for each iteration. Extensive simulation results show that the false alarm rate and miss detection rate of the proposed algorithm are both very low and substantially outperform existing state-of-the-art algorithms. At the same time, the proposed algorithm is in principle simpler as it is intuitive and it is easy to implement as it has uncomplicated structure and few codes. View full abstract»

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  • On the Accuracy of the Gaussian Approximation With Linear Cooperative Spectrum Sensing Over Rician Fading Channels

    Page(s): 651 - 654
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (631 KB) |  | HTML iconHTML  

    Linear cooperative spectrum sensing has been proposed for cognitive radio networks which are often limited by the achievable complexity of the devices involved. The method is based on the Gaussian approximation of the summary statistics sent to the fusion center. The goodness of this approximation is investigated in this letter in the case of block Rician fading. The impact of the number of secondary users, sampling times, and the Rician factor are assessed by an analytic method proposed to calculate the false-alarm and the missed-detection probabilities. View full abstract»

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  • Spurious Solution of the Maximum Likelihood Approach to ICA

    Page(s): 655 - 658
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (170 KB) |  | HTML iconHTML  

    For the separation of linear instantaneous mixtures of independent sources, many Independent Component Analysis (ICA) algorithms can learn the separating matrix by optimizing some objective functions derived from various criteria. The Maximum Likelihood (ML) principle, with hypothesized model pdf's, provides an objective function which is commonly used. It is generally considered that the ML approach leads to a separating solution as long as the kurtosis signs of the model pdf's can correspond and equal to those of the sources, respectively, in some order, which is referred to as the one-bit-matching condition. In this letter, we present an experimental analysis on spurious solution of the ML approach and show that spurious maximum of the objective function really exists in certain cases even if the one-bit-matching condition is satisfied. View full abstract»

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  • Histogram Equalization-Based Features for Speech, Music, and Song Discrimination

    Page(s): 659 - 662
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (208 KB) |  | HTML iconHTML  

    In this letter, we present a new class of segment-based features for speech, music and song discrimination. These features, called PHEQ (Polynomial-Fit Histogram Equalization), are derived from the nonlinear relationship between the short-term feature distributions computed at segment level and a reference distribution. Results show that PHEQ characteristics outperform short-term features such as Mel Frequency Cepstrum Coefficients (MFCC) and conventional segment-based ones such as MFCC mean and variance. Furthermore, the combination of short-term and PHEQ features significantly improves the performance of the whole system. View full abstract»

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  • Power Control Techniques for Two-Stream MIMO System With Maximum Likelihood Receiver

    Page(s): 663 - 666
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (182 KB) |  | HTML iconHTML  

    In this letter, simple power control techniques are proposed to minimize error probability of a two-stream multiple-input multiple-output (MIMO) system with two transmit antennas and a maximum likelihood (ML) receiver, which is known as an optimal receiver but has a high computational complexity problem. The proposed techniques using Euclidean distances of a few error vectors have the advantages of exactly same error performance and very low computational complexity, compared with an optimal power control technique. View full abstract»

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  • On Low-Complexity Simulation of Multichannel Room Impulse Responses

    Page(s): 667 - 670
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (269 KB) |  | HTML iconHTML  

    In this letter, we present a method for low-complexity simulation of multichannel room impulse responses (RIRs). Low-complexity RIR methods will become inevitable in next generation communication systems having massive amounts of microphones/loudspeakers. For a room with rigid boundaries, we show that proper sampling of the free-field plenacoustic spectrum results in the solution of the wave equation at any position in the room. We show that the spatial aliasing introduced by spectral sampling represents the wall reflections. These wall reflections are usually modelled, at least in low-complexity simulation algorithms, by the creation of virtual free-field sources outside the room, an image source model commonly referred to as the image method. The image method requires O(N3) operations per receiver position, whereas the newly proposed method requires only O(NlogN) operations per receiver position. View full abstract»

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  • Multiple Reverberant Sound Localization Based on Rigorous Zero-Crossing-Based ITD Selection

    Page(s): 671 - 674
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (217 KB) |  | HTML iconHTML  

    This letter presents a multiple sound localization method for non-stationary speech sources in reverberant environments. Although zero-crossing-based interaural time differences (ITDs) were robust to diffuse noise and energy-based onset detection tackled reverberant speech , the onset detection method was sensitive to parameters. The proposed method employs echo-free onset detection , and this letter adds reverberation time estimation to obtain accurate echoes and signal-to-noise ratio estimation to assist the onset detection based on typical properties of acoustic reverberation in selecting ITDs corresponding to source locations. Experimental results indicate the effectiveness of the proposed method in reverberant environments. View full abstract»

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  • Perception-Aware Multiple Scalable Video Streaming Over WLANs

    Page(s): 675 - 678
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (137 KB) |  | HTML iconHTML  

    In this letter, we consider how to efficiently transmit multiple video programs over IEEE 802.11e WLANs using scalable video coding technique. Scalable video offers flexibilities and functionalities for video adaptation according to the time-varying wireless channel conditions. We examine the perceptible quality impact of scalable video packets and maximize the minimum perceptible video utility of each scalable video stream. The quality of service is optimized by QoS mapping such that scalable video packets with higher impact on perceptible quality are better protected by the enhanced distributed channel access mechanism (EDCA). Using a MAXMIN strategy, we achieve fair distribution of videos to end users based on the spatial, temporal, and quality scalabilities offered by scalable video coding. Our simulation results show the efficacy and performance of the proposed approach. View full abstract»

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  • Robust Data Hiding for MCLT Based Acoustic Data Transmission

    Page(s): 679 - 682
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (201 KB) |  | HTML iconHTML  

    Acoustic data transmission enables a short-range wireless communication between the loudspeaker and microphone. A transmitter embeds a data stream into a base audio signal such as music or commercial advertisement and broadcasts the data through the air by playing back the data-embedded sound using a loudspeaker. A receiver picks up the sound signal using microphone and extracts the hidden message. In our previous work, we proposed an acoustic data transmission system which takes advantage of the phase modification of the modulated complex lapped transform (MCLT) coefficients. In this letter, we propose several techniques to realize a more robust communication system in real noisy environment. View full abstract»

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  • A Template Matching Procedure for Automatic Target Recognition in Synthetic Aperture Sonar Imagery

    Page(s): 683 - 686
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (696 KB) |  | HTML iconHTML  

    A method for classifying objects in sonar imagery is proposed. Motivated by the high-resolution achievable by modern imaging sonars, a novel template matching technique is developed that compares a target signature generated from a simple acoustic model with the actual image of an object being classified. The approach uses both the correlation with target echoes as well as projected acoustic shadow, and is tested on data obtained from a synthetic aperture sonar during experiments at sea. It is compared to two commonly used methods that are based on normalized cross-correlation, and results show that the proposed method outperforms the standard methods in terms of receiver-operating characteristic (ROC) curves as well as confusion matrices. View full abstract»

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  • Differential Decoder for MAC Based Two-User Communication Systems

    Page(s): 687 - 690
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (339 KB) |  | HTML iconHTML  

    We derive a decoder for differential data of two multiple access channel (MAC) based uplink users. Both users utilize differential modulation for transmitting their data. It is assumed that the users cannot exchange their information. In addition, it is assumed that the users transmit data over multiple access uplink channels simultaneously in the same frequency band and without any orthogonal signatures (no CDMA). Their transmissions are assumed to be perfectly synchronized in time, phase, and frequency. The decoder is obtained by maximizing the joint probability distribution function (p.d.f.) of consecutively received data samples. We first obtain a partially differential decoder which avoids the knowledge of channel of one user at the base-station. Then we derive a heuristic differential decoder which completely avoids the knowledge of the channels of both users. For the heuristic differential decoder to work properly, both users must use rotated constellations. Optimized values of rotation angles for different M-PSK constellations are numerically obtained. It is further shown by simulations that the proposed differential decoders perform better than a same rate existing TDMA based two-user transmission scheme. View full abstract»

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  • Local Sorting for Adaptive Signal Regularization

    Page(s): 691 - 694
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (460 KB) |  | HTML iconHTML  

    This letter investigates the possibility of removing noise in correspondence to jump discontinuities using the sorted copy of the signal. It will be proved that sorting makes noise predictable so that it can be reproduced and subtracted from the sorted noisy signal. It will be also shown that the proposed method can substitute for the edge preserving term into an anisotropic diffusion scheme, gaining in terms of mean square error, edge preservation and computational effort. View full abstract»

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  • Errata to `Comments on “Finite-Horizon Robust Kalman Filtering for Uncertain Discrete Time-Varying Systems With Uncertain-Covariance White Noises” ' [Feb 10 213-216]

    Page(s): 695
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    In the above titled paper (ibid., vol. 17, no. 2, pp. 213-216, Feb. 10), it was noticed that there are missing the mean of the noises in some equations. Corrected equations are presented here. View full abstract»

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  • IEEE Signal Processing Letters Information for authors

    Page(s): 696 - 697
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    Freely Available from IEEE
  • IEEE Signal Processing Society Information

    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.

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Meet Our Editors

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