Normalized least squared channel error estimation
An Improved Proportionate Normalized Least-Mean-Square Algorithm for Broadband Multipath Channel Estimation
... normalized least-mean-square (PNLMS) algorithm has been proposed and studied to exploit the sparsity in nature [19] and has been applied to echo cancellation in telephone ...steady-state error when ...
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Bootstrap Testing of the Rank of a Matrix via Least Squared Constrained Estimation.
... Although it has not the best power, the clear winner is the tests based on b Λ 1 . Inside this group, for any sample number, the bootstrap and the rescaled version are the closest to the nominal level. Concerning b Λ 2 ...
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Least-squares multi-spacecraft gradient calculation with automatic error estimation
... at least exponentially with 1x 0 : Only if the approximation error increases rapidly, the sum of the weights of far-away points decreases quickly enough to yield a finite ...exponential error bound ...
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Performance of Multi-antenna Wireless Systems with Channel Estimation Error
... to channel estimation error at the transmitter as a function of the ...erroneous channel estimates only and showed that even though the channel gain matrix is random, at low SNR, the ...
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Bit Error Rate Analysis of OFDM System with Channel Estimation Error in Rayleigh Fading Channels
... with error in channel estimation, in Rayleigh fading channel is calculated by evaluating ...the estimation error -30 db, 0 dB, and 20 ...of least estimation ...
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Improved least mean square algorithm with application to adaptive sparse channel estimation
... Abstract Least mean square (LMS)-based adaptive algorithms have attracted much attention due to their low computational complexity and reliable recovery ...the channel sparsity, LMS-based adaptive sparse ...
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Channel estimation algorithms and bit error rate analysis of cognitive radio
... proposes channel estimation algorithms for Cognitive Radio (CR) in terms of Mean Square Error (MSE) and analysis of its Bit Error Rate (BER) ...and channel estimation gain ...of ...
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Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso
... joint estimation and variable selection ...1996), Least Angle Regression (LAR) (Efron et ...Group Least Angle Regression (GLAR) (Yuan and Lin, 2006), Multiple Kernel Learning (MKL) (Bach et ...
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Bit Error Rate Analysis for an OFDM System with Channel Estimation in a Nonlinear and Frequency Selective Fading Channel
... propagation channel, we assume an L = 8-path block Rayleigh fading channel with a uniform power-delay profile; { h l ; l = 0 ∼ L − 1 } are independent and identically distributed zero-mean complex Gaussian ...
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Mean Square Error of Blind Channel Estimation Using a Constant Modulus Algorithm
... – Channel Estimation (CE) in multicarrier system especially in Orthogonal Frequency Division Multiplexing (OFDM) systems has become an important technique in wireless communication to reduce the overall ...
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PERFORMANCE ANALYSIS OF DUAL CHANNEL SPEECH ENHANCEMENT METHOD WITH DCT AND HADAMARD TRANSFORMS USING NORMALIZED LATTICE RECURSIVE LEAST SQUARE ALGORITHM
... dual channel applications where one channel has input noisy speech signal and second channel has reference speech ...proposed Normalized Lattice Recursive Least Square (NLRLS) adaptive ...
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A Fractional Variable Partial Update Least Mean Square Algorithm (FVPULMS) for Communication Channel Estimation
... communication channel estimation called FVPULMS algorithm was proposed, which combines the goodness of FLMS and ...mean error and mean square ...stable error state and faster convergence rate ...
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Doppler-shift estimation of flat underwater channel using data-aided least-square approach
... Doppler estimation method for underwater acoustic communica- ...Doppler estimation as well as channel equali- ...the channel has been equalized and consider only flat-fading ...the ...
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Channel estimation and bit error rate analysis of demodulate and forward wireless relay networks
... presents channel estimation techniques for demodulate and forward (DeF) wireless relay networks (WRN) using least squares (LS) algorithm and its ...variants. Channel estimation is a ...
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Massive MIMO performance with imperfect channel reciprocity and channel estimation error
... Imperfect Channel Estimation We then extend our investigations in ...the channel estimation error into ...the estimation error parameter τ 2 = ...the error ceiling ...
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Total Space in Resolution Is at Least Width Squared
... containing β 0 , let ¯ β 0 be such assignment. If var(D ∨ x) ⊆ dom( ¯ β 0 ) then, by the previous claim, ¯ β i |= D ∨ x, but β 0 (x) = 0 so ¯ β 0 |= D and hence ¯ β 0 |= D ∨ E. If var(D ∨ x) 6⊆ dom( ¯ β 0 ) then there is ...
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Secure Performance of Cooperative System with Channel Estimation Error
... RI. Channel between any two nodes in the network is independent and obeys the flat Rayleigh fading, his, hid, he represents the channel fading coefficients of Seri Link, Rid link, and Rice link ...that ...
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Minimax Estimation of the Scale Parameter of Laplace Distribution under Squared-Log Error Loss Function
... the Squared log error loss function by applying the theorem of Lehmann [1950], and compared it with Minimax estimator under Quadratic loss function in addition of Maximum Likelihood Estimator according to ...
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The Mean-Squared Error of Double Q-Learning
... Broader Impact Reinforcement learning (RL) has been the driving force behind many recent breakthroughs in Artificial Intelligence, including defeating humans in games (e.g., chess, Go, StarCraft), self-driving cars, ...
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The minimum omega squared-method of estimation
... Section 5.5 are directly relevant to the present location-scale model and therefore, we shall not discuss this issue here any further. Several open problems remain, in particular, we have not been able to establish any ...
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