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When faced with the struggle to extract insights from complex and noisy data, often the end user may assume that there exist no significant relation between the features and target in the dataset and is forced to either quit the study or resort to alternate means. Artificial Neural Networks (ANNs) might be of help to predict some of the most complex data used in the industry. But it is neither easy...
In this paper, we propose a super-resolution method based on the shock filter and non-local means. The super-resolution generates the enlarged images which have sharp edges, clear characters and fine textures. The proposed method gradually improves the sharpness of contours by the shock filter and effectively maintains the structures and textures by the nonlocal means. In some simulations, the proposed...
We present a deflation method for Nonnegative Matrix Factorization (NMF) that aims to discover latent components one by one in order of importance. To do so we perform a series of individual decompositions, each of which stands for a deflation step. In each deflation we obtain a dominant component and a nonnegative residual, and then the residual is further used as an input to the next deflation in...
Multi-antenna blind signal separation (BSS) provides a useful method for co-channel mixed signal processing. But the performance of BSS is limited by the condition number of channel matrix in the presence of noise. To overcome this problem, a new BSS algorithm with the aid of lattice reduction (LR) is proposed for synchronous communication systems. Simulation results show that the proposed algorithm...
In this paper we address a practical application of Van Dijk somewhat homomorphic encryption over the integers scheme. This application consists of giving a client the opportunity to choose a video to watch without letting the server or any third party know which video it is, thus preserving the privacy of the client. In a prior work we have already discussed this application using a fully homomorphic...
The literature on high-technology marketing frequently observes that the perspectives of managers in cutting-edge product development are often at odds with the perspectives of consumers, leading to products that do not fit into consumer values, force behavioral changes upon them, are difficult to use, or do not meet needs at all. A possible case-in-point is robotic vacuum cleaners (RVC) for home...
This study attempts to establish methods for characterizing the complexity of ordinal data through the information and entropy parameters. In this respect, there were examined the methods for measuring the complexity of data with similar statistical characteristics and the parameters that can make the difference between them were established. For this purpose, the analysis was applied to three data...
We show an exponential gap between communication complexity and information complexity, by giving an explicit example for a communication task (relation), with information complexity ≤ O(k), and distributional communication complexity ≥ 2k. This shows that a communication protocol cannot always be compressed to its internal information. By a result of Braverman [1], our gap is...
In the last decade, large investments have been made to improve airport security for safeguarding air transportation. X-ray screening of passenger bags is a key component of airport security procedures. State-of-the art X-ray screening systems provide high quality images, yet the decision whether a passenger bag has to be further investigated (e.g. using manual search) still relies on human operators...
The spatial spectrum indicates the energy distribution in all directions. If we can get the spatial spectrum, then the spectrum holes in space are known. In spatial spectrum sensing of cognitive radio, an electronically steerable parasitic antenna receptor (ESPAR) divides the space into sectors which are accessed by directional beamforming on a time division basis. Hence, the energy at different direction...
Track-before-detect (TBD) is effective on weak target detection in passive bistatic radar (PBR). The probability of false alarm (PFA) and the probability of detection (PD) in TBD based on dynamic programming algorithm (DPA) are determined by threshold. The extreme value theory and generalized Pareto distribution are usually used to obtain the relationship between PD, PFA and threshold. However, DPA...
The paper aims to review and deepen the effects of the modal density in the dynamical identification with the Complex Plane Representation (CPR) method that is based on the Hilbert transform of the motion response of mechanical systems. It is demonstrated that the strong accuracy in the identification of the modal parameters with the CPR method can be somewhat corrupted for high modal densities. Theoretical...
One of the main goals of process mining is to automatically discover meaningful process models from event logs. Since these logs are the essential source of information for discovery algorithms, their quality is of high importance. In recent years, many studies on the quality of resulting process models have been conducted. However, the analysis of event log quality prior to the generation of models...
The design of efficient receivers for orthogonal frequency division multiplexing I space division multiple access (OFDM/SDMA) channels remain a challenging task especially when the number of mobile stations (MSs) transmitting exceed base station (BS) antennas. The benchmark performance is achieved by Maximum Likelihood (ML) detector at the cost of computational complexity that exponentially increases...
It is very difficult to get absolutely accurate estimation models for practical filtering and target tracking systems. Accordingly, adaptive filtering technology has been presented to deal with state estimation with inaccurate models and some typical adaptive methods have been established. These adaptive methods have also used to design various filtering or fusion algorithms most of which have applied...
We propose computationally efficient MIMO detection scheme which can provide accurate soft decision information to the decoder. The detection process has two stages. The proposed scheme first detects MIMO symbols using MMSE method, and calculates noise variances of each detected symbol. Next, the detected symbols are demodulated in bits by maximum likelihood method respectively. The proposed scheme...
The paper presents a computational procedure of a multichannel Fast Affine Projection algorithm. The procedure also includes Sliding Window linear prediction, Gradient Adaptive Step-Size and fast computation of adaptive filter output signal. An example of the algorithm application in a combined Feed-Forward and Feed Backward Active Noise Control system, which can be viewed as a two-channel adaptive...
This paper addresses the problem that how to estimate the channel practically for the large-scale multiple antenna systems. Based on the uniform linear array, we reformulate the signal model for channel estimation into a transform-domain (TD) representation. Then the TD filtering schemes are investigated. In particular, we propose a sequence-based filtering scheme, which is asymptotically optimal...
This study assesses the complexity of heart period (HP) and QT variability series through sample entropy (SampEn) in long QT syndrome type 1 individuals. In order to improve signal-to-noise ratio SampEn was evaluated over the original series (SampEn0) and over the residual computed by subtracting the first oscillatory mode identified by empirical mode decomposition (SampEnEMD1R). HP and QT interval...
Relaxed synchronization is considered essential for future generations of wireless networks in order to reduce signaling overhead. Filterbank Multicarrier (FBMC) modulation receivers may be implemented in the frequency domain as synchronization and equalization may be performed jointly. Furthermore it is demonstrated that FBMC exhibits better capacity than OFDM when frequency division multiple access...
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