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This paper considers the problem of locating closely-spaced coherent emitters. Classical TDOA-based emitter location methods assume only a single emitter is being estimated. As a result, when multiple emitters that cannot be resolved during detection exist, the MSE performance is significantly degraded. These errors are due to the fact that the TDOA observation model does not account for multiple...
In GPS (Global Position System), direct acquisition of the GPS P(Y)-code is a two-dimension lengthy searching process in time and frequency dimension. CCPAZP-FFT (Circular Correlation by Partition And Zero Padding) uses FFT to achieve parallel correlation and frequency searching. In this way acquisition can be achieved very fast as it transfers two-dimensional search into parallel one-dimensional...
This paper presents an interdisciplinary application of communication services to business. In particular, an extrapolation algorithm for financial trading is here discussed by means of a preliminary case study. We exploit the hidden market trends of historical stock quotes applying signal processing to financial trading. Our case study consists of an example of binary options stock trading. Binary...
The objective of the research is to develop new methods or indicators regarding cyclostationarity (CS) that could clearly point out and differentiate between walking disorder signals. Normal human locomotion is the rather grand term given to the description of walking by individuals who fall within the range considered as “normal”, and is seen as a sequence of cyclic and repeated gestures. It is a...
Space-polarization multiple input multiple output (SP-MIMO) communication systems can provide improved reliability, increased data rates, and higher energy efficiency as compared to conventional co-polarized MIMO (CP-MIMO) systems. To achieve these gains relative to CP-MIMO arrays, SP-MIMO architectures employ a dual-polarized (DP) antenna at each of the antenna locations, effectively doubling the...
In this paper, signal processing techniques are employed for electromagnetic sub-wavelength imaging. Three signal processing algorithms are investigated, including phase conjugation (PC), correlation method (CM) and maximum search and removal method (MSRM).
A new kind of binary sequences, which can be taken for a generalization and a further development of binary Barker Sequences, is suggested. The generation rules for suggested kind of sequences, their structure analysis, properties, signal processing, suggestions for their application to radar technology and results of modeling are worked out and presented.
Aim of this study is applying the ensemble classification methods over the stock market closing values, which can be assumed as time series and finding out the relation between the economy news. In order to keep the study back ground clear, the majority voting method has been applied over the three classification algorithms, which are the k-nearest neighborhood, support vector machine and the C4.5...
Alpha waves are electroencephalogram discovered by Hans Berger in 1929 and have been studied by many researchers. Recently the amplitude and the phase of alpha waves attract attention, and various studies are reported. So far the alpha waves are not concretely modeled to explain how they are constituted. In this paper, we analyze the phase of alpha waves for their future modeling. As pre-processing,...
Several biometric threats systems models have been proposed to facilitate the design, implementation and validation techniques for securing these systems. Some models classify threats by type of attacks, others by specific attacks and other by using vulnerabilities and threat agent. Each model proposes a vision and a different approach to identify these threats. For example, to design security techniques...
The self organizing maps algorithm of Kohonen one of the popular and widely used in several applications. A drawback of the algorithm is that it doesn't consider the coherence between the input vector and the weight vector of the network's neurons. Other expansion of Kohonen's SOM doesn't consider updating the winning neurons according to the coherence measure between the two quantities. In this paper...
We propose an approach to simultaneously identify the speed of sound (SOS) in a flat homogeneous material specimen and its thickness by means of ultrasound. Basically, the setup operating in transmission mode consists of an ultra-sound transducer and an opposed hydrophone. In contrast to common approaches, where short broadband pulses are utilized, the ultrasound transducer is here excited with a...
A new algorithm has been presented for reduction of oscillator noise in two steps. Noise correlation has been decreased by an adaptive filter stage, and then noise has been removed directly based on our previous results. The algorithm has been successfully applied for experimental noise reduction of a 1.8 GHz transistor oscillator, exceeding 60 dB at 1.6 GHz. Periodic impurities have also been removed.
In this paper, we design, evaluate and compare two phase-based passive stereovision architectures. We present two approaches to implement phase-based correspondence search algorithms in real-time for sparse stereovision applications. The first approach enhances the accuracy of the 1D phase correlation method. The second approach optimizes the 2D phase correlation method at the cost of degradation...
Several techniques have been proposed for identifying the impulse response of arbitrarily time-variant systems. The majority of such techniques rely on a statistical characterization of the time-variant impulse response in terms of its average power spectrum or, equivalently, its average autocorrelation. We present here a computationally-efficient lag-recursive method for estimating the desired average...
Based on spectrum correlation of Multi-section Sinusoids with the Known Frequency-Ratio (hereinafter referred as MSKFR), a frequency estimation algorithm was proposed. This algorithm aims at improving frequency estimation of the short sinusoid at low Signal-to-Noise Ratio(SNR), and extending the applicable range of the multi-section signals fusion method. Firstly, an easy way to get MSKFR in application...
We present results from a large study with 200 participants who watched short excerpts from TV programmes and assigned mood labels. The agreement between labellers was evaluated, showing that an overall consensus exists. Multiple mood terms could be reduced to two principal dimensions, the first relating to the seriousness or light-heartedness of programmes, the second describing the perceived pace...
We consider the minimization of the average transmit power in a block-fading broadcast channel with time division multiple access under constraints on the average rates of all users. The globally optimal solution of this problem would require noncausal channel knowledge such that all blocks can be optimized jointly in advance, which is of course impossible in a practical system. However, it is possible...
One of the most recent trends in surveillance research is the application of socially aware approaches, i.e. approaches that integrate human sciences findings in order to better understand, model and predict the behaviour of people under observation. One of the key requirements for the development of such approaches is the collection of corpora that provide sufficient and reliable information about...
Three eigenvalue-based methods for determining an estimate degree of a characteristic polynomial from response data are discussed. Two methods utilize ninety-nine percent partial sums of both covariance eigenvalues and correlation eigenvalues. A third approach examines the number of smallest correlation eigenvalues. Using the order estimate, a locally optimum sampling period is produced from reconstructed...
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