1、

The Simple Circuit With High Performance in Detecting Main Pulse of non Fixed Period from noisy Signal

简单而性能良好的非固定周期峰值检测电路

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2、

We studied the data fusion algorithm to obtain the optimal estimation from multi noisy signal sources.

我们首先研究了从多个包含干扰的信号估计中获取最佳估计的数据融合算法,导出了多导数据融合公式。

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3、

By analyzing a chemical noisy signal, a method which can sample continuous signal simply and economically is introduced.

通过分析一例含噪化工信号,介绍一种经济简便的对连续信号采样的方法。

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4、

The Study on the Edge Detection of Noisy Image by Fractal

分形方法用于有噪图像边缘检测的研究

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5、

A Novel Edge Extraction Algorithm with Detail Information in Noisy Image

一种新的保留细节信息的噪声图像边缘提取算法

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6、

Edge detection for noisy image based on rough set theory

基于粗集理论的含噪图像边缘检测

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7、

Noisy Image Moving Point Object Recognition Using the Second-Order Neural Network

用多层前馈神经元网络实现运动点目标图像识别

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8、

Application of non-linear fuzzy SOM classification method to noisy image fusion

非线性模糊化SOM图像分类的方法在含噪声图像融合中的应用

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9、

A Hybrid Method for Edge Detection in Noisy Image

一种综合的有噪图象边缘提取方法

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10、

Regular Geographic Objective Recognition in noisy Image Based on Radon Transform

基于Radon变换的噪声图象内规则形状目标的识别

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11、

As a safe and comfortable, green, less noisy and pollutive traffic mode, magnetic levita-tion vehicles has become the important modern symbol of the human ground passenger transport.

具备安全舒适、绿色环保、噪声和污染小等性能的磁浮列车,是人类地面客运交通运输现代化的重要标志。

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12、

An information entropy-based uncertainty measure is presented first based on generalized rough set model in this paper, which is suitable for evaluating rules retrieved from noisy data.

本文在对粗集及其相关理论的研究基础上,首先给出了一种基于推广粗集模型和信息熵的规则不确定性量度,该不确定性量度适于评价从有噪音数据中提取的规则;

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13、

Many researches indicate that the existence of redundant and noisy data greatly constrain the efficiency and effective of classification. The normal solution to this problem is feature selection or feature extraction.

研究表明大部分数据集中存在的冗余和噪音数据严重影响了分类的效果,一般采取的方法是属性选择或属性提取。

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14、

The metabolic wavelet denoising is used to process noisy data.

对于含噪数据,讨论了新陈代谢的小波去噪在机动目标跟踪中的去噪效果。

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15、

Reconstructing Modeling of Gene Boolean Networks form Noisy Data Method

数据噪音构建基因布尔网络模型的方法

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16、

Centered difference method for numerical differentiation with noisy data

带扰动数据的数值微分的中心差分法

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17、

Association analysis method is getting useful information from these massive, inaccurate, noisy data.

关联规则挖掘是从大量的、不准确的、嘈杂的现实数据中挖掘出隐含在其中的、潜在的有价值的相关信息和知识的过程。

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18、

New post processing method based on noisy channel model for Chinese character recognition

一种基于噪声信道模型的汉字识别后处理新方法

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19、

The design of COVQ based on the evolutionary algorithm on noisy channel

噪声信道中基于进化算法的矢量量化器的设计

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20、

Generalization of M Public Key System and Analysis of Its Performance on Noisy Channel

M公钥的推广及通过有扰信道时的性能分析

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