Signal Processing Letters, IEEE - new TOC
TOC Alert for Publication# 97
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Least-Squares Contour Alignment
The contour alignment problem, considered in this letter, is to compute the minimal distance in a least-squares sense, between two explicitly represented contours, specified by corresponding points, after arbitrary rotation, scaling, and translation of one of the contours. This is a constrained nonl …
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JPEG2000 ROI Coding With Fine-Grain Accuracy Through Rate-Distortion Optimization Techniques
Region of interest (ROI) coding is a feature of prominent image coding systems that enables the specification of different coding priorities to certain regions of the image. JPEG2000 provides ROI coding through two mechanisms: either modifying wavelet coefficients or using rate-distortion optimizati …
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An SVM Kernel With GMM-Supervector Based on the Bhattacharyya Distance for Speaker Recognition
Gaussian mixture model (GMM) and support vector machine (SVM) have become popular classifiers in text-independent speaker recognition. A GMM-supervector characterizes a speaker's voice with the parameters of GMM, which include mean vectors, covariance matrices, and mixture weights. GMM-supervector S …
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Frequency Domain Acoustic Echo Suppression Based on Soft Decision
In this letter, we propose a novel acoustic echo suppression (AES) technique based on soft decision in a frequency domain. The proposed approach provides an efficient and unified framework for such procedures as AES gain computation, AES gain modification using soft decision, and estimation of relev …
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Global Soft Decision Employing Support Vector Machine For Speech Enhancement
In this letter, we propose a novel speech enhancement technique based on global soft decision incorporating a support vector machine (SVM). Global soft decision in the proposed approach is performed employing the probabilistic outputs of the SVM rather than the conventional Bayes' rule. Actually, gl …
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Message From the New Editor-In-Chief
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Suppression of Residual Noise From Speech Signals Using Empirical Mode Decomposition
This letter illustrates a novel and effective method for suppressing residual noise from enhanced speech signals as a second-stage post-filtering technique using empirical mode decomposition. The method significantly improves speech listening quality with simultaneous improvement of objective qualit …
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Speech-Annotated Photo Retrieval Using Syllable-Transformed Patterns
This study presents a novel indexing and retrieval scheme for digital photos with speech annotations based on syllable-transformed image-like patterns. Speech recognition error and out-of-vocabulary (OOV) problems generally result in incorrect indexing and degrade the retrieval performance. In this …
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Graphical Models for Joint Segmentation and Recognition of License Plate Characters
We formulate the issue of joint image segmentation and recognition as an integrated statistical inference problem. A two-layer graphical model is proposed that supports the optimal segmentation and recognition in an unified Bayesian framework. Due to the explicit modeling of two tasks in the graphic …
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Bandpass Sampling of One RF Signal Over Multiple RF Signals With Contiguous Spectrums
In this letter, we consider a case in which only one radio frequency (RF) signal is of interest over multiple RF signals with contiguous spectrums (i.e., these RF signals are adjacent to each other). The minimum valid bandpass sampling range for a desired RF signal over multiple ones is derived unde …
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Second-Order Volterra System Identification With Noisy Input–Output Measurements
System identification with noisy inputoutput measurements has been dominantly addressed through the optimization of the mean-squared-error criterion (MSE), especially in adaptive filtering. MSE is known to provide models that approximate the conditional expectation of the target output given the inp …
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A Robust Adaptive Dimension Reduction Technique With Application to Array Processing
We develop a data-adaptive dimension reduction algorithm that is robust against out-of-sector sources in application to array processing. The dimension reduction is done as a linear transformation (matrix filter). The matrix filter is designed adaptively such that the signal power within a certain s …
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Blind DFE With Maximum-Entropy Feedback
This letter proposes an entropy-gradient adaptive feedback filter specially derived for the blind decision feedback equalizer with a self-optimized configuration. Using software simulations, the parametric nonlinearity of the feedback filter is aligned through two operation modesblind acquisition an …
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Fast Algorithm for Modulated Complex Lapped Transform
A new algorithm for the modulated complex lapped transform (MCLT) with a sine windowing function is presented. It is shown that by merging the windowing operation with the main computation, both the real and the imaginary parts of the MCLT with $2N$ inputs can be obtained from two $N$-point discre …
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A Novel LMS Algorithm Applied to Adaptive Noise Cancellation
In this letter, we propose a novel least-mean-square (LMS) algorithm for filtering speech sounds in the adaptive noise cancellation (ANC) problem. It is based on the minimization of the squared Euclidean norm of the difference weight vector under a stability constraint defined over the a posteriori …
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Almost Quadriphase Sequence With Ideal Autocorrelation Property
In this letter, a new class of almost quadriphase sequences with a single zero element of period $N$ , where $N=1,(bmod{,4})$ a prime, is presented. The new sequences have ideal autocorrelation property.
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High-Speed CAVLC Encoder for 1080p 60-Hz H.264 Codec
In H.264/AVC and the variants, the coding of context-based adaptive variable length codes (CAVLC) requires demanding operations, particularly at high bitrates such as 100 Mbps. This letter presents two approaches to accelerate the coding operation substantially. Firstly, in the architectural aspect, …
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Comments on “A Linear Closed-Form Algorithm for Source Localization From Time-Differences of …
In a recent letter by Gillette and Silverman, a linear closed-form algorithm (the GS algorithm) for source localization from time-differences of arrival is proposed. It is claimed that it is so simple that we were surprised that, until very recently, there have been no other solutions similar to our …
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A Fast Robust Chinese Remainder Theorem Based Phase Unwrapping Algorithm
A robust phase unwrapping based on the Chinese remainder theorem (CRT) has been proposed lately, and it has applications in synthetic aperture radar (SAR) imaging for moving targets. It also leads to a type of robust CRT. This algorithm requires a two-dimensional searching. In this letter, we propos …
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A Multipurpose Linear Component Analysis Method Based on Modulated Hebb¿Oja Learning Rule
This letter presents a Hebb-type learning algorithm for online linear calculation of principal components. The proposed method is based on a recently proposed cooperative- competitive concept, named the time-oriented hierarchical method. The algorithm performs deflation on the signal power rather th …
Signal Processing Letters, IEEE - new ..
