نتایج جستجو برای: root mean squared error jel classification c01

تعداد نتایج: 1371448  

Journal: :Journal of Approximation Theory 1981

Journal: :IEEE Transactions on Signal Processing 1994

Journal: :IEEE Transactions on Signal Processing 2007

Journal: :Applied Mathematics & Optimization 2014

Journal: :Remote Sensing 2017
Cheng Ye Zhang Huazhong Ren Yanzhen Liang Suhong Liu Qiming Qin Okan K. Ersoy

This paper proposes a modified model based on the PROSPECT-5 model to simulate the spectral reflectance of copper-stressed leaves. Compared with PROSPECT-5, the modified model adds the copper content of leaves as one of input variables, and the specific absorption coefficient related to copper (Kcu) was estimated and fixed in the modified model. The specific absorption coefficients of other bio...

Journal: :EURASIP J. Adv. Sig. Proc. 2010
Cheng-Han Chan Soo-Chang Pei Jong-Jy Shyu

A double-loop iterative method is proposed to design allpass variable fractional-delay (VFD) digital filters basing on the minimization of root-mean-squared group-delay error. In the inner loop, an iterative quadratic optimization is proposed to replace the original nonlinear optimization for the minimization of root-mean-squared group-delay error, while an iterative weighting-updated technique...

2012
Suphattharachai Chomphan

Problem statement: The fundamental frequency (F0) of the human speech corresponds to the vibration frequency of the human vocal chords. To extract the F0 from a speech utterance, one approach is based on the Cepstral analysis. In Thai, there are four main dialects spoken by Thai people residing in four core region including central, north, northeast and south regions. Environmental noises are a...

2014
Ceiling Wall Ground Wall

In this paper, we present the simulation of the propagation characteristics of the picocellular propagation channel environment. The first aim has been to find a correct description of the environment for received wave. The result of the first investigations is that the environment of the indoor wave significantly changes as we change the electric parameters of material constructions. A modifie...

The increasing volatility in pricing and growing potential for profit in digital currency have made predicting the price of cryptocurrency a very attractive research topic. Several studies have already been conducted using various machine-learning models to predict crypto currency prices. This study presented in this paper applied a classic Autoregressive Integrated Moving Average(ARIMA) model ...

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