CN102969978A - 一种信号处理的时域分布法 - Google Patents

一种信号处理的时域分布法 Download PDF

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Publication number
CN102969978A
CN102969978A CN2012104410364A CN201210441036A CN102969978A CN 102969978 A CN102969978 A CN 102969978A CN 2012104410364 A CN2012104410364 A CN 2012104410364A CN 201210441036 A CN201210441036 A CN 201210441036A CN 102969978 A CN102969978 A CN 102969978A
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于星光
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Kunshan Beiji Photoelectron Science & Technology Co Ltd
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Kunshan Beiji Photoelectron Science & Technology Co Ltd
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Priority to CN2012104410364A priority Critical patent/CN102969978A/zh
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Abstract

本发明公开了一种信号处理的时域分布法,可以把振动波信号的极大值点一次性提取出来,再在极大值点中分离出脉搏波的时域特征点。本方法简明实用,易于理解,为准确抓住振动波时域特征提供了依据。

Description

一种信号处理的时域分布法
技术领域
本发明属于振动信号处理领域,尤其涉及了一种信号处理的时域分布法。
背景技术
非平稳信号作为现实生活中普遍存在的信号形式,未来值不能用精确地时间函数来描述,无法准确的预测,在相同的条件下,也不能准确的重现,所以其分析处理在现代信号处理中占有特殊重要的地位。
发明内容
发明的目的在于提供一种信号处理的时域分布法。
实现上述目的的技术方案是:一种信号处理的时域分布法,包括以下步骤:
步骤1、对于采样的振动信号假设为x(n),找出其所有的极大值点;
步骤2、对极大值点消除噪声点,在极大值点中找出理论上的最大值,即主波峰;
步骤3、根据主波峰的位置计算周期;
步骤4、去掉所有的最大值点(主波),再找出剩余极大值点中的最大值和次大值,即峰波和重振波。
本方法简明实用,易于理解,为准确抓住振动波时域特征提供了依据。
具体实施方式
下面介绍本发明的实施方式,包括以下步骤:
步骤1、对于采样的振动信号假设为x(n),找出其所有的极大值点;
步骤2、对极大值点消除噪声点,在极大值点中找出理论上的最大值,即主波峰;
步骤3、根据主波峰的位置计算周期;
步骤4、去掉所有的最大值点(主波),再找出剩余极大值点中的最大值和次大值,即峰波和重振波。
以上结合实施例对本发明进行了详细说明,本领域中普通技术人员可根据上述说明对本发明做出种种变化例。因而,实施例中的某些细节不应构成对本发明的限定,本发明将以所附权利要求书界定的范围作为本发明的保护范围。

Claims (1)

1.一种信号处理的时域分布法,其特征在于,包括以下步骤:
步骤1、对于采样的振动信号假设为x(n),找出其所有的极大值点;
步骤2、对极大值点消除噪声点,在极大值点中找出理论上的最大值,即主波峰;
步骤3、根据主波峰的位置计算周期;
步骤4、去掉所有的最大值点(主波),再找出剩余极大值点中的最大值和次大值,即峰波和重振波。
CN2012104410364A 2012-11-07 2012-11-07 一种信号处理的时域分布法 Pending CN102969978A (zh)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2012104410364A CN102969978A (zh) 2012-11-07 2012-11-07 一种信号处理的时域分布法

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Application Number Priority Date Filing Date Title
CN2012104410364A CN102969978A (zh) 2012-11-07 2012-11-07 一种信号处理的时域分布法

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CN102969978A true CN102969978A (zh) 2013-03-13

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CN2012104410364A Pending CN102969978A (zh) 2012-11-07 2012-11-07 一种信号处理的时域分布法

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3996926A (en) * 1974-07-09 1976-12-14 Medtronic, Inc. Blood pressure monitoring system
CN102247129A (zh) * 2011-06-15 2011-11-23 西安电子科技大学 脉搏波非典型波峰波谷的识别方法

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3996926A (en) * 1974-07-09 1976-12-14 Medtronic, Inc. Blood pressure monitoring system
CN102247129A (zh) * 2011-06-15 2011-11-23 西安电子科技大学 脉搏波非典型波峰波谷的识别方法

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
唐铭一,李凯,马小铁: "脉搏波信号时域特征提取与算法的研究", 《计算机与现代化》, no. 176, 30 April 2010 (2010-04-30) *

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Application publication date: 20130313