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A low-complexity, low-power digital correlator for wakeup receivers is presented. With the proposed algorithm, unnecessary computational cycles are dynamically pruned from the correlation using an early threshold check. For the algorithm, we provide a rigorous mathematical analysis for the associated complexity/performance trade-offs. Furthermore, a low overhead hardware architecture with early-termination...
In this paper, a two-stage phase-increment-based frequency estimator with a general pilot-symbol-assisted- modulation (PSAM) structure is proposed for burst-mode communications. We derive the true Cramer-Rao bounds (CRBs) under the general PSAM structure for pure data-aided (DA) estimator. The proposed phase increment-based estimator is a pure DA estimator and implemented via two stages. In the first...
Weighted autocorrelation receivers have been proposed in the literature to suppress noise or interference for transmitted reference ultra-wideband communication systems. Usually weight optimization is performed for partitioned integration bins. To improve the optimization effect, this paper proposes a digital weighted autocorrelation receiver, in which the sampled auto-correlated signal is first rearranged...
The number of revealed and analyzed attacks that use sophisticated and complex methods increased lately. Through the usage of such methods the attackers are able to evade existing security systems and prevent a comprehensive detection of the malicious activities. Therefore, it is often necessary to perform a manual investigation of complex attacks, to identify all steps and malicious activities that...
The development of computational thinking skills through computer programming is a major topic in education, as governments around the world are introducing these skills in the school curriculum. In consequence, educators and students are facing this discipline for the first time. Although there are many technologies that assist teachers and learners in the learning of this competence, there is a...
In this paper a novel low complexity scheme that achieves also reduced feedback overhead is studied for reporting the channel state information in Carrier aggregation MIMO systems. Such systems usually involve a large number of carriers and users, so the calculation and reporting of the required RI/PMI/CQI indexes could result in high computational complexity and feedback overhead. Given that the...
Asking IT students, job interviewees, and competition contestants to write code is very common. Nevertheless, to properly assess the programming skills of such people, the anticipated difficulty level of these coding questions should be estimated and kept in mind throughout the preparation of such exams. Poor results coming out of these assessment tools may not be entirely attributed to exam takers,...
EEG contains immense information about the brain activity which cannot be understood completely by visual inspection. Powerful signal processing algorithms in EEG analysis can greatly assist the physicians and neurologists to extract such hidden information. It has been found that EEG being a time-varying and non-stationary signal, can be analyzed by non-linear methods. In this paper we tried to evaluate...
This paper examines the relationship between schedule delays and cost overruns on complex projects. It is generally accepted by many project practitioners that cost overruns are directly related to schedule delays. But what does “directly related to” actually mean? Some reasons or root causes for schedule delays and associated cost overruns are obvious, if only in hindsight. For example, unrealistic...
In this paper, we propose a low-complexity sensing algorithm based on the generalized likelihood ratio test that satisfy the complexity-performance compromise. The proposed algorithm can significantly reduce the complexity computation of the eigenvalues and enhance outstandingly the detection performance compared to the existing GLRT algorithm. Besides, the cooperative spectrum sensing has proved...
High Efficiency Video Coding (HEVC) is known to be the state of the art in video compression. However, aiming at real-time applications, its very high number of possible coding options makes it necessary to approximate the selection of coding modes by fast algorithms. For this purpose Coding Unit (CU) split decisions are made by Support Vector Machine (SVM) classifiers in this paper. We use one SVM...
In the process of software testing, correlated defects raise researchers' attention worldwide. Some potential defects are hard to be detected in the test. To address these potential defects, this paper adopts an error propagation model to describe the process of defect evolution and applies fault injection method to introduce known seed-defects. Subsequently, seed-defects are activated and related...
In this paper we try to evaluate the multifractality displayed by the EEG signals obtained from subjects with sleep apnea syndrome. The Multifractal Detrended Fluctuation Analysis (MF-DFA) shows that the EEG signals have different degree of multifractality and we suspected this variety is due to various stages of sleep. In an attempt to identify the origin of multifractality we extend our study and...
In our previous work, k-value pseudo random sequence generated by power residue symbol has been researched. The sequence is generated by applying a primitive polynomial over odd characteristics field, trace function, and power residue symbol. The sequence has some important features such as period, periodic autocorrelation, and linear complexity. In this paper, by applying an additional process to...
Statistical data analysis methods are well known for their difficulty in handling large number of instances or large number of parameters. This is most noticeable in the presence of "big data", i.e., of data that are heterogeneous, and come from several sources, which makes their volume increase very rapidly. In this paper, we study popular and well-known statistical functions generally...
Human Brain is a complex organ which controls the whole body. The largest part of brain is cerebrum whose function is to regulate the mental activity, sensations and controls. The rear part of cerebrum is called occipital lobe. It is for visual processing and is the area of interest for this paper. An effort is made to evaluate the different parameters from the acquired EEG signals. These signals...
Reverse-engineering genome-scale gene networks from gene expression data is a principal challenge in systems biology. Mutual information (MI) based methods are favored because of their ability to recover non-linear relationships, low algorithmic complexity, and their successful use in various biological applications such as gene function prediction. In this paper, we present the first ever construction...
In this paper, we present a new structure for compressive sensing(CS)-based random access (RA) scheme for machine-type communications (MTC). In the proposed scheme, we consider a one-shot transmission in which users transmit their packets right away by spreading them with multiple spreading sequences (MS) over a frame without waiting for scheduling grant from the base station. The scheme is designed...
Massive multi-input multi-output (MIMO) system adopting large amount of antennas is a promising technique to improve spectral efficiency and energy efficiency for next generation wireless communication systems. However, the power consumptions of the radio frequency (RF) chains can be huge, which poses great challenges. In this paper, we consider the problem of transmit RF chain configuration with...
Linear filtering methods are well known and have been successfully applied in system identification and equalization problems. However, they become unpractical when the number of parameters to estimate is very large. The recently proposed assumption of system separability allows the development of computationally efficient alternatives to classic adaptive methods in this scenario. In this work, we...
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