A minimum mean squared error criterion of LDPC Layered BP decoding algorithm by constructing linear equations to approximate calculation formula check node BP algorithm to reduce the complexity of the algorithm, and uses a minimum mean squared error criterion to obtain the optimal solution of linear ...
We find that the best 7-item platform-neutral module resulted in the lowest mean squared error (MSE) and highest R2 values. This is followed by the best 7-item Terms survey, which is within 15.8% of the MSE and within 2.5% of R2 of the best 7-item platform-neutral module. Even ...
EMD is a lower bound on mean-squared error (MSE) and directly contributes to MSE in simple cases (see Methods). Consequently, incorrect variability in forecasts would generally be expected to increase MSE. We found that forecast skill is indeed related to correctly simulated variability. The ...
In IMU sensors, accelerometer, gyroscope, and magnetometer are integrated into a single device to reduce measurement error and increase the precision of the measuring movement[[23]]. In addition, the Kalman filter method, which is the ideal filtering method with minimum mean squared error and ...
Iterative detection and decoding based on a soft interference cancellation–minimum mean squared error (SIC-MMSE) scheme provides efficient performance for coded MIMO systems. The critical computational burden for a SIC-MMSE detector in a MIMO system lies in the multiple inverse operations of the comp...
Lower Bounds on the Mean-Squared Error of Low-Rank Matrix Reconstruction We investigate the behavior of the mean-square error (MSE) of low-rank matrix reconstruction and its special case, matrix completion. We first derive the c... Tang, G,Nehorai, A - 《IEEE Transactions on Signal ...
Severe aortic stenosis (AS) is usually defined on the basis of both an aortic valve effective orifice area (EOA) ≤1.0 cm2 and a mean transvalvular gradient ≥40 mm Hg (1, 2). Nonetheless, given that gradients are a squared function of flow, even a modest decrease in flow may lead ...
Thispaperdiscussestwo-dimensional(2-D)minimummeansquarederrorequalizationinconjunctionwithlowdensityparitycheck(LDPC)errorcorrectioncodesforholographicdata... N Rahnavard,S Member,F Fekri,... 被引量: 0发表: 1983年 Record-breaking error correction using Low-Density Parity-Check Codes Thispaperdiscussestwo...
models to incorporate the residual mean squared error and S2y, which is the total variance of the Y-variable36. $$\mathrm{RMSE}=\sqrt{\sum_{i-1}^{n}\left(\frac{\mathrm{experimental}/\mathrm{predicted}}{n-p}\right)2},$$ (4)...
R Square Score (R2S), Mean Absolute Percentage Error (MAPE), Mean Squared Error (MSE), and Adjusted R Square Score (AR2S) are commonly used criteria to quantity the prediction correctness of trained regression model. Formulas for computing these metrics are indicated in Eqs. (5–8). $$MSE...