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We present a reduced dimensionality, information rich (RDIR) visual representation for scene information that distills the most distinguishing elements in an image, enabling scene classification by humans and computers under reduced dimensionality conditions. The representation utilizes the Gist model [1] to convey scene information in low bandwidth conditions, exhibiting enhanced classification performance...
The paper proposes a new hybrid error concealment for the multi-view video (MVV). Firstly, the lost macroblocks (MBs) are classified into the static MBs and the motive MBs by the motion information. Then the static MBs are repaired by image inpainting, which is improved to apply to inter and inter-view frame. The motive MBs are fixed by outer boundary matching algorithm (OBMA), in which candidate...
We consider the problem of estimating unordered sets of objects, which arises when the object labels are irrelevant. The widely used minimum mean square error (MMSE) estimators are not applicable for the estimation of unordered objects. Recently, a new type of estimator, known as the minimum mean OSPA (MMOSPA) estimator, which minimizes the optimal sub-pattern assignment (OSPA) metric, was proposed...
Compressive sampling (CS) has been wildly investigated in wideband signal spectrum sensing. A variety of signal reconstruction algorithms are reported for CS. Usually, the eigenvalues of covariance matrix of compressive measurements are used to estimate signal model order. However, due to the noise introduced in the sampling stage and the finite length of sampling data, the performance of signal model...
To mitigate the soft-error effects for designing digital signal processing systems, a hierarchical evaluation algorithm is proposed in this paper, which is used to estimate the latent fault vulnerabilities based on the analysis of soft-error sensitive attributes. In this algorithm, the evaluated scales of sensitive attributes are devised for soft-error vulnerability factors of function modules. And...
We propose a probabilistic handshake mechanism for all-to-all broadcast coded slotted ALOHA. We consider a fully connected network where each user acts as both transmitter and receiver in a half-duplex mode. Users attempt to exchange messages with each other and to establish one-to-one handshakes, in the sense that each user decides whether its packet was successfully received by the other users:...
This paper considers a multiple-input multiple-output (MIMO) cellular interference channel. In order to exploit the maximum degrees of freedom, the rank constrained rank minimization (RCRM) framework is adopted to formulate the interference alignment for the MIMO cellular network. Considering the practical signal-to-noise ratio (SNR) is limited, we propose a joint Frobenius norm and nuclear norm algorithm,...
Particle methods are an established way to represent messages and perform message passing in factor graphs. Despite their common use, there are several cases for which messages are hard to compute, even in linear models. Building on results from Gaussian message passing, we demonstrate how backward particle-based messages can be computed and describe a practical application in the context of fiber-optical...
In this paper, we propose a simplified approach for the Mixed Integer Non-linear Programming (MINLP) problem in the context of dynamic resource allocation for multiuser downlink Orthogonal Frequency Division Multiplexing (OFDM) systems. Our solution is based on the appropriate selection of the K-best branches of the branch and bound technique. The proposed algorithm significantly decreases the computational...
In this paper, we propose an algorithm to compute time-dependent Fourier transform (TDFT) with generalized triangular window. The algorithm recursively computes the TDFT at arbitrary frequency with integrated triangular windowing. A common way to compute TDFT with window is to firstly multiply the input data by the window function and then carry out the TDFT on the windowed data. In this paper, we...
This paper solves the time and power allocation problem for the simplest feedback scheme for the Gaussian wiretap channel, which is based on the transmission of random secret keys to be used in a one time pad manner. Specifically, the optimal transmission powers at Alice and Bob, as well as the time sharing factor between the feedback and feedforward channels, are given by the solution of a non-convex...
We consider the problem of distributed caching in next generation mobile cellular networks (a.k.a., 5G) where densely-deployed small base stations (SBSs) are able to store and deliver users' content accordingly. In particular, we formulate the optimal cache allocation policy as a convex optimization problem where a subset of SBSs have their own i) local cost function which captures backhaul consumption...
In this paper we propose a distributed and adaptive algorithm for collaborative processing of the complex signals. The proposed algorithm, which will be referred to as the incremental augmented affine projection algorithm (IncAAPA), not only utilizes the full second order statistical information in complex domain but also exploits the spatial diversity which is provided by the distribution of the...
This paper presents an evaluation of performance of the disparity weighting technique when it is applied to stereoscopic image quality assessment in full reference and no-reference scenarios. The correlation coefficients between the subjective scores in the LIVE 3D Database and the predicted scores indicate a significant increase in the performance.
This paper presents a review on signal analysis method for feature extraction of electroencephalogram (EEG) signal. It is an important aspect in signal processing as the result obtained will be used for signal classification. A good technique for feature extraction is necessary in order to achieve robust classification of signal. Considering several techniques have been implemented for extracting...
Image mosaicing has numerous applications in the area of computer vision, virtual reality, robotics, medical imaging, computer graphics and advertising. The creation of the seamless image mosaic often becomes a difficult task due to the presence of alignment errors and intensity discrepancies. The present paper discusses the development and implementation of a novel algorithm based on the discrete...
In a cognitive radio ad hoc network, secondary users must cooperate in a decentralized way in order to determine the presence or absence of the primary user. In such a setting, malicious nodes deteriorate the cooperative spectrum sensing performance by reporting incorrect sensing information to the other nodes. We classify distributed cooperative spectrum sensing in cognitive radio ad hoc networks...
The floating point arithmetic, specifically multiplication, is a widely used computational operation in many scientific and signal processing applications. In general, the IEEE-754 single-precision multiplier requires a 23 × 23 mantissa multiplication and the double-precision multiplier requires a large 52 × 52 mantissa multiplier to obtain the final result. This computation exists as a limit on both...
In today's world the most widely used operation performed in DSP is finite impulse response (FIR) filtering. Design of low-complexity multiple constant multiplication (MCM) operation which reduces the complexity of many digital signal processing systems. In this paper, we design an enhanced fir filter using Graph Based algorithm. In that fir filter structure, we use modified carry save adder in the...
This paper presents a novel algorithm for learning a hierarchical dictionary in the short-time Fourier (STFT) domain, which can improve the performance of dictionary learning (DL) based single-channel speech separation (SCSS). The goal of SCSS is to separate the underlying clean speeches from a signal mixture, which was often achieved by learning a pair of discriminative sub-dictionaries and sparsely...
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