Results 31 to 40 of about 561,044 (162)
Zhongguo gonggong weisheng, 2022 ObjectiveTo compare the performance of seasonal autoregressive integrated moving average (SARIMA) model, Winter linear and seasonal exponential smoothing model, Census X12 seasonal decomposition model, and linear combination prediction model in incidence
Chao LIU, Yuan-yuan MENG, Qing-wen ZHANG
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Research on formant estimation algorithm for high order optimal LPC root value screening
Tongxin xuebao, 2022 Objectives: The existing linear prediction (LP) formant estimation algorithms are difficult to locate formant precisely because of the pseudo root interference and interaction between poles.Because of the low order fitting formant of LP prediction,the ...
Hua LONG, Shumeng SU
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Laser-Based Trespassing Prediction in Restrictive Environments: A Linear Approach
Sensors, 2012 Stationary range laser sensors for intruder monitoring, restricted space violation detections and workspace determination are extensively used in risky environments.
Gustavo Scaglia, Fernando Auat Cheein
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Prediction in Multivariate Mixed Linear Models [PDF]
JOURNAL OF THE JAPAN STATISTICAL SOCIETY, 2003 Summary: In the multivariate mixed linear model or multivariate components of variance model with equal replications, this paper addresses the problem of predicting the sum of the regression mean and the random effects. When the feasible best linear unbiased predictors or empirical Bayes predictors are used, this prediction problem reduces to the ...
Tatsuka Kubokawa, M. S. Srivastava
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Alexandria Engineering JournalThis research concerns the water desalination plant supplied by multi-energy sources to reduce production costs and minimize environmental impact. The multi-energy system has solar modules added to the grid sources.
Hasnaa M. El-Arwash +2 more
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Send-On-Delta Sensor Data TransmissionWith A Linear Predictor
Sensors, 2007 This paper is concerned with sensor data transmission strategy. The main focus of the paper is how to reduce the number of sensor data transmission while maintaining the dif- ference between the estimated sensor value and the real sensor value.
Young Soo Suh
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BAG: A Linear-Nonlinear Hybrid Time Series Prediction Model for Soil Moisture
Agriculture, 2023 Soil moisture time series data are usually nonlinear in nature and are influenced by multiple environmental factors. The traditional autoregressive integrated moving average (ARIMA) method has high prediction accuracy but is only suitable for linear ...
Guoying Wang +5 more
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Silva Fennica, 2013 The moment-based parameter recovery method (PRM) has not been applied in Finland since the 1930s, even after a continuation of forest stand structure modelling in the 1980s.
Jouni Siipilehto, Lauri Mehtätalo
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Optimal linear interpolation in linear predictive vocoders [PDF]
The Journal of the Acoustical Society of America, 1975 In low-bit-rate linear predictive (LP) vocoders, the process of parameter interpolation at the receiver helps in smoothing the roughness in the synthesized speech which is normally associated with infrequent parameter updating. Simple linear interpolation has been used almost exclusively in LP vocoder systems. We propose an optimal linear interpolation
R. Viswanathan +2 more
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Linear Prediction Using Refined Autocorrelation Function
EURASIP Journal on Audio, Speech, and Music Processing, 2007 This paper proposes a new technique for improving the performance of linear prediction analysis by utilizing a refined version of the autocorrelation function.
Shimamura Tetsuya, Rahman M Shahidur
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