LMMSE

AcronymDefinition
LMMSELinear Minimum Mean Squared Error
References in periodicals archive ?
In order to further improve channel estimation accuracy of LMMSE algorithm criterion and reduce the complexity of the algorithm criterion, the channel response autocorrelation function [R.sub.hh] can be simplify processed by using the singular value decomposition (SVD) method.
The Channel Estimation and Modeling in High Altitude Platform Station Wireless Communication Dynamic Network
Comparison of Different Interference Mitigation schemes on Signaling Transmission by Comp Technique using Lmmse Equalizer:
Interference management techniques for heterogeneous networks
The saliency maps [[??].sub.1] and [[??].sub.2] are thus computed by applying the LMMSE based filter q and following (2):
Improved guided image fusion for magnetic resonance and computed tomography imaging
(2) At the first step (i = 1) of the algorithm, the LMMSE channel estimation [22, 23] is performed with [[??].sup.LS.sub.H]:
Application of a channel estimation algorithm to spectrum sensing in a cognitive radio context
Inspired by the effectiveness of LMMSE mechanic used in solving state estimation problem of MJLSs with random time delays in [33], the problem of state estimation of MJLSs with random missing observations is formulated into LMMSE filtering frame.
Optimal state estimation for discrete-time Markov jump systems with missing observations
A major drawback of LMMSE is the complexity involved in the computation of the auto-correlation matrix.
Performance Enhancement of Downlink Multiuser DS-CDMA Detectors in Multipath Channels over AWGN Channels
For "SCH1", the LSE (applying (24)) and the LMMSE estimation (applying (25)) of [[??].sup.<r>] are compared.
Efficient joint estimation and compensation of CFO, Tx/Rx frequency-selective I/Q Imbalance, and the MIMO radio channel in OFDM systems
For example, in the case of a linear minimum mean-square-error (LMMSE) filter, [mathematical expression not reproducible] is obtained as
Error-detection-coding-aided iterative hard decision interference cancellation for MIMO systems with HARQ
In this section, we will demonstrate the performance of the proposed method and make a comparison with several stateof-the-art methods including NL-Mean [1], LARK [5], BLF [6], TV [8], K-SVD [15], LGM [22], and LMMSE [29].
Image Denoising via [L.sub.0] Gradient Minimization with Effective Fidelity Term
In sensing of least minimum mean square error(LMMSE) for prediction error, the prediction parameters of the statistically optimal prediction can be expressed as
Multispectral image compression based on DSC combined with CCSDS-IDC
The early algorithms suppress speckles through an examination of the local statistics surrounding a given pixel using optimization criteria as the local minimum mean square error (LMMSE), for instance, the Lee filter [25], the Frost filter [26], the Kuan filter [27] and their improved version [6,13].
Structure preserving SAR image despeckling via L0-minimization
[3] Saqib Saleem, Qamar-ul-Islam, "Optimization of LSE and LMMSE Channel Estimation Algorithms based on CIR Samples and Channel Taps," IJCSI International Journal of Computer Science Issues, vol.
Performance Analysis of Modified Gram-Schmidt Cholesky Implementation on 16 bits-DSP-chip
Acronyms browser ?
Full browser ?