Estimation Algorithms
Channel estimation algorithms and bit error rate analysis of cognitive radio
... channel estimation algorithms for Cognitive Radio (CR) in terms of Mean Square Error (MSE) and analysis of its Bit Error Rate (BER) ...channel estimation gain ...channel estimation is ...
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EM Based Channel Estimation Algorithms for OFDM
... pilot-assisted estimation algorithms adopt an interpola- tion technique with fixed parameters (two-dimensional (2D) [6, 7] or one-dimensional (1D) [5]) to estimate the channel frequency response by using ...
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Cyclostationarity based DOA estimation algorithms for coherent signals in impulsive noise environments
... DOA estimation algorithms for coherent sig- nals are ...DOA estimation algorithms, the proposed methods are not only immune to the interference and Gaussian noise, but can account for ...
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Depth Recovery and Motion Estimation Algorithms
... depth estimation from a single monocular ...Depth estimation is a challenging problem, since local features alone are insufficient to estimate depth at a point, and one needs to consider the global context ...
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Channel Estimation Algorithms in OFDM, A Review
... channel estimation in OFDM (Orthogonal Frequency Division Multiplexing) using QAM (Quadrature Amplitude multiplexing) & PSK (Phase Shift Keying) modulation techniques used in OFDM for wireless ...three ...
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Dimensionality reduction in Bayesian estimation algorithms
... Starting with an idealized synthetic database that loosely re- sembles 3-channel passive microwave observations of pre- cipitation against a highly variable background (e.g., het- erogen[r] ...
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Parallelisation of block matching motion estimation algorithms
... matching algorithms, to better represent `true' motion in the image sequence, and hence provide more accurate predictive coding ...motion estimation is implemented as a collection of sequential ...
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Blind distributed estimation algorithms for adaptive networks
... the algorithms in the sensor networks creates new diffusion-based algorithms, which are shown to perform much better than their non-diffusion-based ...new algorithms have been tested using both a ...
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Performance Appraisal of Estimation Algorithms and Application of Estimation Algorithms to Target Tracking
... For model approximation, various strategies have been employed [52]. Local linearization of the model around the “best” point or simplification conditioned on past data is often the first choice. Another choice is to ...
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Review of Voltage Flicker Estimation Algorithms
... and estimation of the voltage flicker levels are important for effective design and implementations of voltage flicker mitigation ...flicker estimation incorporates measurement of flicker severity ...
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Multivariate Stochastic Volatility Estimation with Sparse Grid Integration
... the estimation algorithms based on the proposed sparse grid integration method perform well enough to be considered as an alternative es- timation method for the MSV ...based estimation ...
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A Soft-Input Soft-Output Target Detection Algorithm for Passive Radar
... sparse estimation algorithm named Approximate Message Passing (AMP), adapted to SISO processing for passive ...sparse estimation algorithms, but its performance is asymptotically equivalent to the ...
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Survey on Block Matching Algorithms for Motion Estimation
... Motion estimation technique is the most vital component of any video coding ...motion estimation is the basic requirement of the video encoder ...motion estimation algorithms are used to ...
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A Study Of Channel Estimation In Fast Fading Environments
... In this thesis, a full review of fading channels model (Rayleigh & Rice), LS estimator and MMSE estimator is given. Rayleigh fading model is happens when no LOS path exists in between transmitter and receiver, but ...
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Lightweight Object Tracking in Compressed Video Streams Demonstrated in Region-of-Interest Coding
... our algorithms depends on the motion estimation algorithms, our techniques are independent of the video encoding spec- ification itself; for demonstration and testing purpose, we used the MPEG-4 FGS ...
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Adaptive Algorithms for Sparse Nonlinear Channel Estimation
... Experiments were conducted on the multipath channel setup of Eq. (2). The algorithms were run for 2000 iterations and averaged over 50 Monte Carlo runs to reduce realization de- pendency. In all experiments the ...
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A Compendium of Copulas
... Archimedean copulas have received widespread applications. Some recent applica- tions have included: bivariate rainfall frequency distributions (Zhang and Singh, 2007a); correlation smile matching for collateralized debt ...
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A Review on Airlight Estimation Haze Removal Algorithms
... substantial position in several section of perspective processing. Haze recognition and treatment is just a tough job for increasing the grade of electronic images. Generally speaking these photos are taken at a ...
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Low complexity Channel Estimation for Large scale Receiving Antenna Systems Based on PASTd
... Simulation 3: In view of the performance of PASTd in DOA and channel estimation, we have done following simulations. Firstly, we assume that there are two unrelatted targets in far field whose angles are (10°,10°) ...
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A review of estimation of distribution algorithms in bioinformatics
... distribution algorithms (EDAs) are a novel class of evolutionary optimization algorithms that were developed as a natural alternative to genetic algorithms in the last ...genetic algorithms ...
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