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Music appreciation remains challenging for cochlear implant users. In previous studies a strong negative correlation was found with cochlear implant subjects between music appreciation and music complexity. In this paper, music features that contribute to music complexity are investigated and related to a music preprocessing scheme for cochlear implants, in which a complexity reduction is achieved...
The notion of complexity is widely-known and used. Various definitions of complexity exist: the Hausdorff dimension, fractal dimension, Kolmogorov complexity, Krohn-Rhodes complexity, Lyapunov exponents or the entropy, some of them with several definitions. All these measures were defined strictly for mathematical objects, but they may apply to real signals like texture images in particular. We are...
We show an application of Moran's Index to process and analyze the waterbody-spread extracted from remotely sensed data. A method that is employed to quantify division-wise waterbody-spread, district-wise waterbody-spread and taluk-wise waterbody-spread spatial complexity is based on Moran's Index computation. The waterbody-spread data for each of the hierarchically partitioned geographical unit-wise...
Oil spills and lookalikes (e.g. plant oil and oil emulsion) show the dark areas in SAR images, so it will bring some difficult in classifying the dark objects observed in full polarization SAR images into oil spills or lookalikes. In this paper, an approach is presented for distinguishing the dark areas in SAR images, which based on polarization features, geometric features and texture features fusion...
Emerging high-efficiency video coding (HEVC) outperforms H.264 by a gain of 50% bitrate reduction while maintaining almost the same perceptual quality. However, it induces higher coding complexity due to its adoption of recursive block partitioning mechanism in motion estimation (ME) with a fixed search range. For an objective of reducing the computational burden in HEVC, this paper proposes an adaptive...
Programming-based making activities are at the core of teaching strategies to engage young students in learning programming for developing computational thinking skills. Despite the initial evidences of enthusiastic participation in such activities, more systematic studies are needed to better understand drivers of students' intentions to participate in programming-based making activities. In this...
The problem of search for delay of broadband signals on the basis of code sequences is considered. The problem arises when using long code sequences in conditions of limited signal observation time and high requirements to reliability and synchronization accuracy. In these conditions use of various non-optimal methods and search algorithms, in particular, sequential-parallel search, consecutive algorithms...
Despite the crucial importance of metamodeling for Model-Driven Engineering (MDE), there is still little discussion about the quality of metamodel design and its consequences in model-driven development processes. Presumably, the quality of metamodel design strongly affects the models and transformations that conform to these metamodels. However, so far surprisingly few work has been done to validate...
In this paper, we propose an intelligent cognitive radar system for detecting and classifying the micro unmanned aerial systems (micro UASs). In this system, we design a low-complexity binarized deep belief network (DBN) classifier that recognizes the signature patterns generated by using a Doppler radar based solution. To generate the distinguishable patterns, our work employs the spectral correlation...
The Boolean multireference alignment problem consists in recovering a Boolean signal from multiple shifted and noisy observations. In this paper we obtain an expression for the error exponent of the maximum A posteriori decoder. This expression is used to characterize the number of measurements needed for signal recovery in the low SNR regime, in terms of higher order autocorrelations of the signal...
Motivated by the question of whether the recently introduced Reduced Cutset Coding (RCC) [1], [2] offers rate-complexity performance benefits over conventional context-based conditional lossless coding for sources with two-dimensional Markov structure, this paper compares several row-centric coding strategies that vary in the amount of conditioning as well as whether a model or an empirical table...
It was first observed by John Bell that quantum theory predicts correlations between measurement outcomes that lie beyond the explanatory power of local hidden variable theories. These correlations have traditionally been studied extensively in the probabilistic framework. A drawback of this perspective is that one is then forced to use in a single argument the outcomes of mutually-exclusive measurements...
In this paper, we investigate the performance of a three-link relay system in the scope of radio access networks. The diversity decode-and-forward (DDF) mode and repetition coding are adopted due to the robustness and low complexity for small devices. On the other hand, signal transmissions are subject to mixed fading. The backhaul link is under the Rician fading, while the access link and direct...
Optical wavelength-routed networks enable parallel transmission of massive datasets on non-overlapping wavelength channels. However, as the sizes of scientific workflows increase, the simple availability of multi-wavelength resources will fall short of supporting application needs. Rather, these resources must be allocated intelligently, efficiently, and flexibly to bear the burden of high-volume...
Hardware-efficient low-complexity precoding is very important in the downlink of Massive MIMO systems for mitigating interference and optimizing performance. In this paper, we propose a correlation-driven optimized Taylor expansion (CD-OTE) precoding scheme to simplify linear minimum mean square error (MMSE) precoding. In order to simplify the hardware-expensive matrix inversion involved in the linear...
Grasping objects is one of the most important hand utilisation in everyday life. Due to neuromuscular ailments or injury, some people are unable to move their hands. Though myoelectrically controlled prostheses are widely available in the market, they require some muscle based control points which are hardly available for many. Motor Imagination (MI) controlled prostheses will surpass this shortcomings...
Recent studies have indicated that well-designed convolutional neural network (CNN) has achieved comparable performance to the spatial rich models with ensemble classifier (SRM-EC) in digital image steganalysis. In this paper, we discuss the difference and correlation between a CNN model and a SRM-EC model, and explore the classification error rate varying with texture complexity of an image for both...
We present LS-ELAS, a line segment extension to the ELAS algorithm, which increases the performance and robustness. LS-ELAS is a binocular dense stereo matching algorithm, which computes the disparities in constant time for most of the pixels in the image and in linear time for a small subset of the pixels (support points). Our approach is based on line segments to determine the support points instead...
Neuroscientists study brain functional connectivity in order to obtain a deeper understanding of how the brain functions. Current studies are mainly based on analyzing the averaged brain connectivity of a group (or groups) due to the high complexity of the collected data in terms of dimensionality, variability, and volume. While it is more desirable for the researchers to explore the potential variability...
The estimation of the noise power is a core issue in wireless communication systems. In broadcasting, every OFDM frame starts with a preamble symbol, which facilitates the noise power estimation. However, the performance of preamble-based noise estimation schemes worsens in fast-changing environments and cannot efficiently track the noise variation well. In order to track the noise variation symbol...
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