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fractional相关的网络例句

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With the concept, the fractional lower array power is formulated and it is theoretically proved that the power is finite and reasonable for beamforming, provided thatthe fractional order does not exceed the half of the noise characteristic exponent.

根据分数低阶统计量和零阶统计量,这部分提出强冲击噪声环境下表现出稳健的波束形成性能的三种新的波束形成算法:分数低阶最小方差无畸变响应波束形成算法、线性约束最小几何功率波束形成算法和最小几何误差波束形成算法。

The first section is to introduce some corresponding basic definiens and properties on the fractional calculous. The rest of the chapter is to present solving methods for the approximation solutions of the nonlinear fractional differential equations and their application.

首先介绍了本章涉及到的分数微积分的定义及其性质,然后介绍了非线性分数阶微分方程近似求解的方法及其应用。

The performance of traditional particle filter would be degenerate in alpha stable distribution noise.A new fractional lower order particle filter based on fractional lower order model was presented in this paper,and the detailed operation algorithm was proposed.

在alpha稳定分布噪声下,传统的基于二阶模型的粒子滤波器性能会出现退化,文章提出了一种基于分数低阶模型的分数低阶粒子滤波器,并给出了具体的运算公式。

In Chapter 2, starting from the basic fractional ordinary differential equations,weapply a high order approximation of fractional derivative advanced by Lubich to frac-tional differential equation, construct a high numerical difference scheme to solve thefractional differential equation, present error analysis of the algorithms theoretically,and prove the consistency ,convergency and stability.

接下来的第二章中,首先从基本的分数阶常微分方程出发,对Lubich提出的一个关于分数阶导数的高阶近似,将其应用于分数阶微分方程,构造高阶数值差分格式来进行分数阶微分方程的数值求解,并在理论上给出这一算法的误差分析,证明了它的相容性,收敛性和稳定性。

In this paper we first present some essential properties for continue fractional Fourier transform and discrete fractional Fourier transform.

首先讨论了连续分数傅立叶变换和离散分数傅立叶变换并提出了一些重要性质。

Based on pretty performance of fractional Fourier transform, discrete fractional cosine transform adaptive filtering algorithm is proposed.

针对分数阶傅里叶变换的分数阶次不确定问题,提出一种寻找最优分数阶次的方法:建立分数阶次和失调的关系曲线。

Fractional Fourier transform procedure, this is a discrete fractional Fourier change process.

分数傅里叶变换程序,这个是离散分数阶傅里叶变化程序。

We construct an explicit finite difference approximation for the equation by using the equivalence relation between Riemann-Liouville fractional derivative and Grünwald-Letnikovmake fractional derivative.

再利用Riemann-Liouville分数阶导数与Grtinwald-Letnikov分数阶导数之间的等价关系,构造一显式有限差分近似,这一离散格式可以解释为一个随机游走模型,并且收敛于稳定的概率分布。

Experimental results show that the fixed vector hierarchical fractional coding approach achieves higher compression obviously, and it codes and decodes faster than the standard fractional block coding method.

实验表明,与基本的分形块编码方法相比,本文提出的固定矢量层次分形编码方法在保证一定的重建图象质量下,使图象的压缩比有了明显的提高,并且大大提高了编码和解码速度。

This paper presents a new fractional block coding approach with concept of fixed vector. The approach uses lineral combination of fixed vector in image flat, and it adopts hierarchical thought about fractional coding.

将固定矢量的概念应用于分形块编码中,对图象的平缓区进行固定矢量的线性组合编码,并且在分形编码中,采取了分层处理的思想。

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