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The paper presents an efficient parallel carrier synchronization algorithm suitable for high speed demodulator system and easy to implement on FPGA platform. The parallel algorithm combines the phase frequency detector (PFD) algorithm of the fast capture and the phase detector (PD) algorithm of the stable tracking. First, it can quickly capture carrier frequency offset by using PFD algorithm. Then,...
In this paper, we address the direction-of-arrival (DOA) estimation problem of hybrid completely polarized (CP) and partially polarized (PP) source signals with arbitrary polarimetric arrays. Firstly, oblique projection filtering operators, which are insensitive to the state of polarization of signals, are used to separate potential source signals in the spatial domain. Secondly, the DOA estimates...
Over the time while IEEE 802.11 was developed, rate adaption algorithms had their own development stage. Most of rate adaption algorithms are not standardized and there are no rules on how one should operate. Therefore, this part of IEEE 802.11 is handled entirely by wireless vendors. Although, while IEEE 802.11 moved forward and introduced several performance increases with Quality of Service introduction,...
In hands-free mobile communication, speech quality is often degraded due to presence of surrounding noise. This paper introduces an improved version of Minimum Mean Square Error (MMSE) noise estimator. Noise spectrum estimation is a crucial element used in speech recognition systems. Our proposed noise estimation method is based on a popular searching algorithm used in software engineering called...
Electron Paramagnetic Resonance (EPR) Tomography is promising imaging technique that allows to yield maps of spatial distribution of radical concentration and oxygen concentration. The principle of obtaining those maps is based on inversion of the Radon transform as in other tomographic systems such as traditional X-ray computed tomography and emission tomography. In this article the tomographic image...
Electrocardiogram (ECG) signal is the electrical activity of the human heart. The ECG contains important information about the overall performance of the human cardiac system. Therefore, accurate examination of the ECG signal is very important but challenging task. ECG signal is often very low amplitude and contaminated with different types of noises due to its measurement process e.g. power line...
The LMS-based indirect frequency estimation algorithm (IFE) is reformulated using weighted least-square error criterion. Theoretical analyses for steady state bias and mean square error (MSE) are addressed. It has been shown that the proposed algorithm outperforms the conventional LMS-based algorithms in terms of convergence speed at the same value of MSE.
In this paper, the comparison of several optimization methods for solving the optimal multiuser detection problem exactly or approximately are discussed. The purpose of using these algorithms is to provide complexity constraint alternatives to solving this nondeterministic polynomial-time (NP)-hard problem. An approximate solution is found firefly based optimization which is used to provide an exact...
We propose a semi-supervised algorithm for processing and classification of hyperspectral imagery. For initialization, we keep 20% of the data intact, and use Principal Component Analysis to discard voxels from noisier bands and pixels. Then, we use either an Accelerated Proximal Gradient algorithm (APGL), or a modified APGL algorithm with a penalty term for distance between inpainted pixels and endmembers...
This paper focuses on an average robust transmit beamforming optimization problem for the multiuser multiple-input-single-output (MISO) downlink scenario. In this problem, the channels are modeled as Gaussian variables with mean zero and with known covariance at the transmitter. The design criterion is to maximize the sum of the users' average rates with respect to the channels, subject to the total...
Joint EigenValue Decomposition (JEVD) algorithms are widely used in many application scenarios. These algorithms can be divided into different categories based on the cost function that needs to be minimized. Most of the frequently used algorithms in the literature use indirect least square (LS) criteria as a cost function. In this work, we perform a first order perturbation analysis for the JEVD...
Canonical polyadic decomposition (CPD), also known as PARAFAC, is a representation of a given tensor as a sum of rank-one tensors. Traditional method for accomplishing CPD is the alternating least squares (ALS) algorithm. This algorithm is easy to implement with very low computational complexity per iteration. A disadvantage is that in difficult scenarios, where factor matrices in the decomposition...
Sparse linear arrays, such as co-prime and nested arrays, can identify up to O(M2) sources with only O(M) sensors by using co-array based MUSIC. We conduct analytical performance analysis of two coarray based MUSIC algorithms, namely the direct augmentation based MUSIC, and the spatial smoothing based MUSIC. In addition, we analyze the Cramér-Rao bound for sparse linear arrays, and show that for co-prime...
This paper provides a second-order (SO) analytical performance analysis of the 1-D Standard ESPRIT algorithm. Existing performance analysis frameworks are based on first-order (FO) approximations of the parameter estimation error, which are asymptotic in the effective signal-to-noise ratio (SNR), i.e., they become exact for either high SNRs or a large sample size. However, these FO expressions do...
We introduce maximum-SINR sparse-binary waveforms that modulate data information symbols from any finite alphabet and span the whole continuum of the available/device-accessible spectrum. We offer an optimal algorithm that designs the proposed waveforms by maximizing the signal-to-interference-plus-noise ratio (SINR) at the output of the maximum-SINR linear receiver. In addition, we offer a suboptimal...
This paper is devoted to the development of calculation algorithm in order to determine the significance of different a priori information on the quality of USB-keyboard compromising emanation recovery. The system was investigated under condition of non-Gaussian interferences with Johnson distribution defining the industrial noise. As the calculation result according to developed algorithm based on...
A binary communication channel under the action of additive Gaussian and non-Gaussian broadband and narrow-band interferences is considered in order to identify the possibilities of using the method of bispectral analysis for the detection and recovery of the useful signal. The discrete random process with SL Johnson distribution is taken as non-Gaussian noise. The estimation of periodic signal detection...
Device-to-Device (D2D) communication enables a directdata transmission between User Equipment (UE) without the relayby Base Station (BS). When D2D communication is employedunderlying the Long Term Evolution (LTE) cellular network, it canenhance the spectrum utilization, power-saving efficiency andnetwork capacity. However, it might also cause inter-interferenceswhich degrade the system performance...
Gradient descent bit-flipping (GDBF) algorithm achieves good error performance for decoding low density parity check codes. In the GDBF algorithm, a search point is apt to be trapped in a local optimum, which causes performance degradation of the GDBF algorithm. To overcome this issue, the noisy GDBF algorithm introduces random perturbation into the inversion function of each symbol, which decreases...
In this paper, we study an electromagnetic optimization technique using Taguchi's method and apply it to concentric ring antenna array design. Taguchi's method was developped on the basis of the orthogonal array (OA) concept, which offers systematic and efficient characteristics. The newly proposed idea is the implementation of Taguchi optimization method for Concentric Circular Antenna Array (CCAA)...
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