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As the demanding of storage capacity by photographs increases sharply and numerical signal processing units become more and more cheap, effective techniques of lossy compression are generally seperated from some special hardwares and applied to table compter systems.

该文在分析了音频和视频数据同异点的基础上阐述了一种基于离散余弦变换的图像压缩方法,并给出了算法的基本步骤和一些技巧。

Moreover,the curve and surface subdivision occurs in 3D object rendering, surface approximation,wireframe displaying, finite element analysis and computing surface intersections,and so on.

随之而来的是对这些自由曲面的几何处理问题——曲线、曲面离散及裁剪等。

Under a lower pressure, the relationship between C/H and CO adsorption quantity was a beeline and the CO adsorption quantity increases with the of C/H ratio. The relationship between C/H and CO adsorption is a concave curve with the pressure increasing, and the higher the pressure, the higher the discrete degree.

当压力较低时,C/H与吸附量呈直线关系,随着C/H的增加而增加;随着压力的升高,C/H与煤对CO吸附量之间呈凹形曲线关系,压力越高离散度越大。

Discussing the pre-processing of scanning beam and scatter point cloud data, the automatic or interactive filtering techniques and random sample or grid condensability of point cloud data are explained, and a pre-processing method having actual effect is summarized.

研究已有的模型重建技术,如插值和逼近拟合离散点,利用原型的几何及拓扑信息,构建近似模型来逼近原型;基于原型的几何特征和约束的复原为目标,得到优化的CAD模型。

First of all,we construct a semidiscrete finite difference scheme to Burgers equation with initial condition and Dirichret boundary conditions.

首先,对Burgers方程的初边值问题建立了一个半离散的有限差分格式。

Weapply the kernel methods of regression functions and conditional density functions to obtain aseries ofβas the estimators ofβ.

回归函数核估计方法中,又分别提出了在选定连续样本点和离散样本点时的两种非参数估计模型,并对这两种模型做了详细的阐述。

On defining the conditional threshold of discretized density evolution, a method for designing the time-invariant quantized decoder with finite levels, which can approach the optimal time-varying one and hence the continuous decoding, is proposed.

应用Shannon率失真理论以及密度进化理论,阐述了最佳量化译码的时变特性,建立了离散密度进化的条件阈值概念,提出了二元输入对称信道上逼近最佳时变量化译码、进而接近连续译码的时不变量化译码设计方法,推导了量化和积算法与最小和算法的等价条件,从误码率性能、错误平层和平均迭代次数等三个指标全面衡量量化译码性能; 5。

Methods for feature space discretization based cluster algorithm and class conditional probability distribution estimation are proposed.

首先针对应用贝叶斯决策理论时难以估计类条件概率密度函数的问题,提出了特征空间离散化及相应的类条件概率分布的估计方法。

This regression problem is dicult for several reasons: large number of examples, large number variables (most of which are discrete and multi-valued), non-stationarity of the distribution, and a conditional distribution of the dependent variable which is very dierent from those usually encountered in typical applications of machine learning and function approximation.

这个回归问题是,邸邪教组织有多少个原因:大量的例子,大批变量(其中大部分是离散和多值),非平稳性的分布,以及有条件的分布因变量,这是非常邸erent从这些一般遇到的典型应用机器学习和函数逼近。

Since the equity's price change is discrete when transacting, we use the cumulative link model to build transaction model. We get the conditional probability distribution of the change of equity's price.

而单笔交易中证券价格的变动为离散变量,本文采用积累线性模型为其建模,得到了在一定的交易方向和交易量下,证券价格变动的条件概率分布。

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