Based on linear prediction and arithmetic coding of hyperspectral image compression, and I hope useful for you.
一种基于线性预测和算术编码的高光谱图像压缩方法，希望对您有用。
Secondly, the locally linear prediction and ar model is introduced for the chaos sequences have the character of local predictability.
其次，根据混沌特性中的短时可预测性介绍了局部线性拟合和AR模型预测算法。
The optimal linear linear prediction experiential optimal linear prediction and optimal linear unbiased prediction in the general growth curve model are obtained.
研究了一般增长曲线模型未来观察的预测问题，在一定条件下得到了它的最优线性预测量，经验最优线性预测量，最优线性无偏预测量。
Simulations show an enhanced performance on both one step prediction error and maximum attempted time, which outperforms the linear prediction and some existing adaptive ones.
数值仿真表明，以之为基础的自适应预测算法在一步预测性能和长期预测能力方面都优于常用的线性预测方法和已有的自适应预测算法。
The algorithm USES forward linear prediction and the ability of the interval wavelet transform to restrain terrible edge effects, thus, the Angle walk and engine jamming are reduced effectively.
该算法利用前向线性预测技术以及区间正交小波变换抑制边界效应的能力，有效地减小了角随机游走和发动机干扰。
To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
Then, stepwise regression analysis is used to select a best group of factors for the prediction of expressway incident duration, and the multiple linear regression model is established.
在此基础上，通过逐步回归分析确定用于高速公路事件持续时间预测的最佳变量组合并建立多元线性回归模型。
And based on this, a simple method for performance prediction by using linear regression analysis is put forward.
在此基础上提出了应用线性回归分析进行动态预测的简便方法。
The grey modeling and the idea of pre-control in grey prediction control theory can well remedy the defects of exact linearization and after-control in linear optimal control theory.
灰色预测控制理论中灰色建模和“超前控制”的思想较好地弥补了线性最优控制理论中精确线性化和“事后控制”的不足。
In prediction and modeling, most the responses were found to be best trained using Gaussian input membership functions with a linear output function.
在预测和建模中，通过大量研究发现，最好使用高斯输入函数和线性输出函数。
According to the relationship between precipitation and discharge of groundwater, a model of linear artificial neural network is set and used for dynamic prediction of discharge of groundwater.
根据降水量与地下水流量之间的相关关系，建立线性神经网络模型，并且将其用于地下水流量的动态预测。
Based on the time series, a model of linear artificial neural network is set and used for dynamic prediction of discharge of groundwater.
根据其时间序列，建立线性神经网络模型，并将其用于地下水流量的动态预测。
A linear prediction approach is applied to the output of this SIMO model and we prove that the prediction error contains the parameters of the first time slot of the model impulse response.
对多信道模型的输出应用线性预测，证明了预测误差只包含多信道模型冲激响应在第一个时隙的参数，并给出最佳线性预测器的长度。
As the result of linear prediction analysis, the prediction residual of noisy speech can be divided into two parts: the speech residual related with speech and the noise residual related with noise.
含噪语音经过线性预测分析后，所得的线性预测残差可分为与语音相关的语音残差部分和与噪声相关的噪声残差部分。
Some methods like linear prediction, iteration adjustment and recovery of missing feature points are summarized from the experiment, with which the LSM method is improved.
并通过实验总结出线性预测，迭代调整，恢复丢失特征点等方法，并对自适应最小二乘法进行了改进。
The example shows that the method can effectively improve the prediction accuracy and the prediction result is more competitive than neural network model and ar linear model.
经实例验证，该多分辫小波网络预测模型能有效地提高预测精度，预测结果优于人二神经网络和ar线性模型。
A new method combining integer wavelet transform and linear prediction technique for lossless compression of airborne multispectral imagery is proposed in this paper.
首先探讨了基于提升方案的整数小波变换，结合线性预测技术，提出了一种机载多光谱遥感图像的无损压缩方法。
The control strategy of prediction for a linear model based on BP-PID was introduced to improve control effect and to decouple the looper system.
采用线性预测模型的BP神经网络PID控制策略以减弱系统的耦合影响，以提高控制效果。
In TISI, Long-Term Average Spectrum and Orthogonal Linear Prediction Coefficients are used as the feature parameters;
TISI使用长时间平均谱的变形参数及正交线性预测参数作为讲话人的语音特征矢量；
It is the first time that a converting furnace endpoint prediction model based on an improved BP neural network and error compensation of linear regression.
提出了基于改进的BP神经网络学习算法和自适应残差补偿算法的炼铜转炉吹炼终点组合预报模型。
This paper presents the prediction of Si content of molten iron by adopting methods of multivariate linear regression and neural networks.
文章分别用多元线性回归方法和神经元网络方法对铁水的硅含量进行预测。
The results show that in the simulation of non-linear system model, this framework for Bayesian predictive filter can implement the tracking of simple motion and the orientation prediction.
实验结果表明，在非线性系统模型的仿真中，贝叶斯预测滤波框架能够较好的实现对简单物体运动的跟踪和方位的预测。
The simulation shows that the SVM model is highly reliable, it offers very important applicable values to implement realtime online control and online prediction for linear reciprocating generator.
仿真表明，SVM模型可靠高效，对实现直线振动发电机的实时在线控制及在线预测具有非常重要的应用价值。
Based on the analyzing of costs sample of equipment, set up prediction model of economic life of equipment, considering the middle-linear regression method and period value of costs.
通过对设备费用样本的分析，采用了中间线性回归方法和考虑了货币的时间价值，建立了符合缺省数据费用样本的设备经济寿命预测模型。
Linear regression was carried out with the results and a prediction model is given.
并用正交试验结果进行了线性回归，给出了预测模型。
Linear prediction analysis is a basic technique for digital processing of speech signal and the base for the technique of digital processing of speech signal to be implemented in many applications.
线性预测分析技术是对语音信号处理各个领域都具有很高价值的一种基本的语音信号数字处理技术，它是语音信号数字处理技术在很多方面得以实现的基础。
Prediction on Hangzhou "s tourist flows is made by the analysis on the linear model of point prediction and interval prediction."
通过线性模型的点预测和区间预测对杭州境外旅游流进行了预测预报。
This paper describes the essential law of helium speech transformation, presents two enhancement algorithms based respectively on short-term Fourier transform and linear prediction.
本文给出了氦语音的基本变化规律，介绍了两种分别基于短时傅立叶变换和线性预测模型的增强算法。
Based on the theory of pupil center corneal reflection, the authors improved and realized a highly efficient linear prediction algorithm for real-time eye gaze image processing.
我们利用现今流行且实用的瞳孔—角膜反射向量法作为理论依据，在实现过程中，我们改进和实现了一个高效的实时眼动跟踪算法，即线性逼近预测算法。
A method of stock price prediction is presented by hypothesis of stock market being non-linear dynamic system and analyzing method of chaos theory for chaos time series in this paper.
根据股票市场是非线性动力系统的假设，利用混沌理论对混沌时间序列的分析方法，提出了股票价格预测方法。
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