CN108985277B - Method and system for filtering background noise in power signal - Google Patents
Method and system for filtering background noise in power signal Download PDFInfo
- Publication number
- CN108985277B CN108985277B CN201810970724.7A CN201810970724A CN108985277B CN 108985277 B CN108985277 B CN 108985277B CN 201810970724 A CN201810970724 A CN 201810970724A CN 108985277 B CN108985277 B CN 108985277B
- Authority
- CN
- China
- Prior art keywords
- sequence
- power signal
- measured power
- subsequences
- actually measured
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000001914 filtration Methods 0.000 title claims abstract description 37
- 238000000034 method Methods 0.000 title claims abstract description 24
- 230000004044 response Effects 0.000 claims abstract description 40
- 108010076504 Protein Sorting Signals Proteins 0.000 claims abstract description 32
- 238000005311 autocorrelation function Methods 0.000 claims abstract description 31
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000005259 measurement Methods 0.000 claims 4
- 238000001514 detection method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 230000007704 transition Effects 0.000 description 2
- 230000003190 augmentative effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
- G06F2218/04—Denoising
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Noise Elimination (AREA)
Abstract
Description
技术领域technical field
本发明涉及背景噪声滤除领域,特别是涉及一种功率信号中背景噪声滤除方法及系统。The present invention relates to the field of background noise filtering, in particular to a method and system for filtering background noise in a power signal.
背景技术Background technique
负载开关事件检测是能量分解中最为重要的一步,既要检测到事件发生,同时还能确定事件发生的时刻,但是开关事件检测的精度受功率信号(功率序列)中噪声的影响较大,尤其是功率信号中普遍存在着脉冲噪声,进一步影响了检测精度;在负载开关事件检测过程中,对功率信号进行滤波是很重要的一步,常用的消除背景噪声的方法是低通滤波器和中值滤波器对功率信号滤波。Load switching event detection is the most important step in energy decomposition. It is necessary to detect the occurrence of the event and to determine the moment when the event occurs. However, the accuracy of switching event detection is greatly affected by the noise in the power signal (power sequence), especially It is the impulse noise that generally exists in the power signal, which further affects the detection accuracy; in the process of load switching event detection, filtering the power signal is a very important step. The commonly used methods to eliminate background noise are low-pass filter and median The filter filters the power signal.
尽管低通滤波器可以有效地滤除背景噪声,并能在一定程度上保持信号的突变性;但是,鉴于信号突变点(功率发生跳变的地方)对于确定开关事件的重要性,希望滤波器不要改变功率信号的突变性,但是低通滤波器往往做不到这一点,低通滤波器会使得突变点不再陡峭,变得光滑,使得突变时间(对应于开关事件的发生时间)难以确定。Although a low-pass filter can effectively filter out background noise and preserve the abruptness of the signal to a certain extent; however, given the importance of the signal abrupt point (where the power jump occurs) in determining switching events, it is desirable that the filter Don't change the abruptness of the power signal, but this is often not possible with low-pass filters, which make the transition point less steep and smooth, making the transition time (corresponding to when the switching event occurs) difficult to determine .
中值滤波器虽然在保持信号突变性以及滤除脉冲噪声方面表现突出,但是对于连续发生的强脉冲功率信号中的背景噪声(白噪声),滤波效果欠佳。Although the median filter is outstanding in maintaining the abruptness of the signal and filtering out the impulse noise, the filtering effect is not good for the background noise (white noise) in the continuous strong impulse power signal.
发明内容SUMMARY OF THE INVENTION
本发明的目的是提供一种功率信号中背景噪声滤除方法及系统,以解决连续发生的强脉冲功率信号中的背景噪声滤除效果欠佳的问题。The purpose of the present invention is to provide a method and system for filtering background noise in a power signal, so as to solve the problem of poor filtering effect of background noise in a continuously occurring strong pulse power signal.
为实现上述目的,本发明提供了如下方案:For achieving the above object, the present invention provides following scheme:
一种功率信号中背景噪声滤除方法,包括:A method for filtering background noise in a power signal, comprising:
获取实测功率信号参数;所述实测功率信号参数包括实测功率信号序列以及实测功率信号序列长度N;所述实测功率信号序列包括多个实测功率信号,所述实测功率信号为含有噪声的功率信号,N为所述实测功率信号的序号,N≥1;Acquiring measured power signal parameters; the measured power signal parameters include a measured power signal sequence and a measured power signal sequence length N; the measured power signal sequence includes a plurality of measured power signals, and the measured power signals are power signals containing noise, N is the sequence number of the measured power signal, N≥1;
对所述实测功率序列进行划分,确定多个子序列;所述子序列的长度为L, The measured power sequence is divided to determine a plurality of subsequences; the length of the subsequence is L,
计算多个所述子序列的自相关函数的均值;calculating the mean value of the autocorrelation functions of a plurality of the subsequences;
根据所述均值确定叠加滤波器的脉冲响应;determining the impulse response of the superposition filter according to the mean;
根据所述脉冲响应,对所述子序列进行滤波,确定滤波后的子序列;filtering the subsequence according to the impulse response to determine the filtered subsequence;
将所述滤波后的子序列重新排列,确定滤波后的功率信号序列。The filtered subsequences are rearranged to determine a filtered power signal sequence.
可选的,所述对所述实测功率序列进行划分,确定多个子序列,具体包括:Optionally, dividing the measured power sequence to determine multiple subsequences, specifically including:
按照所述实测功率序列的先后次序进行划分,确定多个子序列。The measured power sequence is divided according to the order of sequence, and a plurality of subsequences are determined.
可选的,所述按照所述实测功率序列的先后次序进行划分,确定多个子序列之后,还包括:Optionally, after the division is performed according to the order of the measured power sequence, and after multiple subsequences are determined, the method further includes:
判断所述实测功率序列是否存在剩余功率信号,得到第一判断结果;Judging whether there is a residual power signal in the measured power sequence, and obtaining a first judgment result;
若所述第一判断结果表示为所述实测功率序列存在剩余功率信号,将所述剩余功率信号内最后一个功率信号扩充为长度为L的剩余序列,并将所述剩余序列作为所述实测功率序列的子序列。If the first judgment result indicates that there is a residual power signal in the measured power sequence, expand the last power signal in the residual power signal into a residual sequence of length L, and use the residual sequence as the measured power A subsequence of a sequence.
可选的,所述计算多个所述子序列的自相关函数的均值,具体包括:Optionally, the calculating the mean value of the autocorrelation functions of the plurality of subsequences specifically includes:
根据公式计算多个所述子序列的自相关函数的均值;其中,τ为自相关函数的自变量,在计算自相关函数值时,子序列xi的时间延迟;τ=-L+1,…,0,…,L-1。According to the formula Calculate the mean of the autocorrelation functions of a plurality of the subsequences; wherein, τ is the independent variable of the autocorrelation function, when calculating the value of the autocorrelation function, the time delay of the subsequence x i ; τ=-L+1,...,0,...,L-1.
可选的,所述根据所述均值确定叠加滤波器的脉冲响应,具体包括:Optionally, the determining the impulse response of the superposition filter according to the mean value specifically includes:
根据公式确定叠加滤波器的脉冲响应;其中,d为时间窗的长度,ωd[τ]是叠加滤波器脉冲响应的时间窗。According to the formula Determines the impulse response of the superposition filter; where, d is the length of the time window, ω d [τ] is the time window of the impulse response of the stack filter.
一种功率信号中背景噪声滤除系统,包括:A background noise filtering system in a power signal, comprising:
实测功率信号参数获取模块,用于获取实测功率信号参数;所述实测功率信号参数包括实测功率信号序列以及实测功率信号序列长度N;所述实测功率信号序列包括多个实测功率信号,所述实测功率信号为含有噪声的功率信号,N为所述实测功率信号的序号,N≥1;The measured power signal parameter acquisition module is used to obtain the measured power signal parameters; the measured power signal parameters include the measured power signal sequence and the measured power signal sequence length N; the measured power signal sequence includes a plurality of measured power signals, the measured power signal The power signal is a power signal containing noise, N is the serial number of the measured power signal, and N≥1;
子序列确定模块,用于对所述实测功率序列进行划分,确定多个子序列;所述子序列的长度为L, A subsequence determination module, configured to divide the measured power sequence to determine a plurality of subsequences; the length of the subsequence is L,
均值计算模块,用于计算多个所述子序列的自相关函数的均值;a mean value calculation module, used for calculating the mean value of the autocorrelation functions of a plurality of the subsequences;
脉冲响应确定模块,用于根据所述均值确定叠加滤波器的脉冲响应;an impulse response determination module, configured to determine the impulse response of the superposition filter according to the mean value;
滤波模块,用于根据所述脉冲响应,对所述子序列进行滤波,确定滤波后的子序列;a filtering module, configured to filter the subsequence according to the impulse response, and determine the filtered subsequence;
滤波后的功率信号序列确定模块,用于将所述滤波后的子序列重新排列,确定滤波后的功率信号序列。The filtered power signal sequence determination module is configured to rearrange the filtered subsequences to determine the filtered power signal sequence.
可选的,所述子序列确定模块具体包括:Optionally, the subsequence determination module specifically includes:
子序列确定单元,用于按照所述实测功率序列的先后次序进行划分,确定多个子序列。A subsequence determination unit, configured to divide the measured power sequence according to the sequence of the measured power sequence, and determine a plurality of subsequences.
可选的,还包括:Optionally, also include:
第一判断单元,用于判断所述实测功率序列是否存在剩余功率信号,得到第一判断结果;a first judging unit, configured to judge whether there is a residual power signal in the measured power sequence, and obtain a first judgment result;
子序列扩充单元,用于若所述第一判断结果表示为所述实测功率序列存在剩余功率信号,将所述剩余功率信号内最后一个功率信号扩充为长度为L的剩余序列,并将所述剩余序列作为所述实测功率序列的子序列。A subsequence expansion unit, configured to expand the last power signal in the residual power signal into a residual sequence of length L if the first judgment result indicates that there is a residual power signal in the measured power sequence, and add the residual power signal to the residual sequence. The remaining sequence is used as a subsequence of the measured power sequence.
可选的,所述均值计算模块具体包括:Optionally, the mean value calculation module specifically includes:
均值计算单元,用于根据公式计算多个所述子序列的自相关函数的均值;其中,τ为自相关函数的自变量,在计算自相关函数值时,子序列xi的时间延迟;τ=-L+1,…,0,…,L-1。Mean calculation unit, used to calculate according to the formula Calculate the mean of the autocorrelation functions of a plurality of the subsequences; wherein, τ is the independent variable of the autocorrelation function, when calculating the value of the autocorrelation function, the time delay of the subsequence x i ; τ=-L+1,...,0,...,L-1.
可选的,所述脉冲响应确定模块具体包括:Optionally, the impulse response determination module specifically includes:
脉冲响应确定单元,用于根据公式确定叠加滤波器的脉冲响应;其中,d为时间窗的长度, ωd[τ]是叠加滤波器脉冲响应的时间窗。Impulse response determination unit for Determines the impulse response of the superposition filter; where, d is the length of the time window, ω d [τ] is the time window of the impulse response of the stack filter.
根据本发明提供的具体实施例,本发明公开了以下技术效果:本发明提供了一种功率信号中背景噪声滤除方法及系统,通过对实测功率序列进行划分,确定多个子序列,并对每个子序列进行滤波,确定滤波后的子序列,再将对滤波后的子序列重新排列,能够有效滤除连续发生的强脉冲功率信号中的背景噪声。According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects: the present invention provides a method and system for filtering background noise in a power signal. Filter the subsequences, determine the filtered subsequences, and then rearrange the filtered subsequences, which can effectively filter out the background noise in the continuously occurring strong pulse power signal.
附图说明Description of drawings
为了更清楚地说明本发明实施例或现有技术中的技术方案,下面将对实施例中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动性的前提下,还可以根据这些附图获得其他的附图。In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings required in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some of the present invention. In the embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without creative labor.
图1为本发明所提供的功率信号中背景噪声滤除方法流程图;1 is a flowchart of a method for filtering background noise in a power signal provided by the present invention;
图2为本发明所提供的子序列划分示意图;2 is a schematic diagram of subsequence division provided by the present invention;
图3为本发明所提供的功率信号中背景噪声滤除系统结构图。FIG. 3 is a structural diagram of a system for filtering background noise in a power signal provided by the present invention.
具体实施方式Detailed ways
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
本发明的目的是提供一种功率信号中背景噪声滤除方法及系统,能够有效滤除连续发生的强脉冲功率信号中的背景噪声。The purpose of the present invention is to provide a method and system for filtering background noise in a power signal, which can effectively filter out the background noise in a continuously occurring strong pulse power signal.
为使本发明的上述目的、特征和优点能够更加明显易懂,下面结合附图和具体实施方式对本发明作进一步详细的说明。In order to make the above objects, features and advantages of the present invention more clearly understood, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.
图1为本发明所提供的功率信号中背景噪声滤除方法流程图,如图1所示,一种功率信号中背景噪声滤除方法,包括:FIG. 1 is a flowchart of a method for filtering background noise in a power signal provided by the present invention. As shown in FIG. 1 , a method for filtering background noise in a power signal includes:
步骤101:获取实测功率信号参数;所述实测功率信号参数包括实测功率信号序列以及实测功率信号序列长度N;所述实测功率信号序列包括多个实测功率信号,所述实测功率信号为含有噪声的功率信号,N为所述实测功率信号的序号,N≥1。Step 101: Obtain the measured power signal parameters; the measured power signal parameters include a measured power signal sequence and a measured power signal sequence length N; the measured power signal sequence includes a plurality of measured power signals, and the measured power signals are noise-containing. Power signal, N is the serial number of the measured power signal, N≥1.
输入实测的功率信号序列P1,P2,…,PN,N为功率信号序列的长度。Input the measured power signal sequence P 1 , P 2 , . . . , P N , where N is the length of the power signal sequence.
步骤102:对所述实测功率序列进行划分,确定多个子序列;所述子序列的长度为L, Step 102: Divide the measured power sequence to determine a plurality of subsequences; the length of the subsequence is L,
图2为本发明所提供的子序列划分示意图,如图2所示,选取长度为L的时间窗,符号表示下取整,同时将功率信号序列按照先后次序划分为10个子序列,每个子序列的长度为L,相邻子序列中的数据不重复。除了这10个子序列之外,有可能还有一些功率数据未被划进这10个子序列,并且这些剩余数据的个数小于L。以最后一个数据的值扩充为L个长度的子序列,作为最后一个子序列(第11个子序列)。Fig. 2 is a schematic diagram of subsequence division provided by the present invention, as shown in Fig. 2, a time window of length L is selected, symbol Represents rounding down, and at the same time, the power signal sequence is divided into 10 subsequences according to the sequence, the length of each subsequence is L, and the data in adjacent subsequences are not repeated. In addition to the 10 subsequences, there may be some power data not included in the 10 subsequences, and the number of these remaining data is less than L. The value of the last data is expanded into a subsequence of length L as the last subsequence (the 11th subsequence).
步骤103:计算多个所述子序列的自相关函数的均值。Step 103: Calculate the mean value of the autocorrelation functions of a plurality of the subsequences.
将多个子序列xi重新表示为:Re-express multiple subsequences x i as:
x1=[P1,P2,…,PL]x 1 =[P 1 ,P 2 ,...,P L ]
x2=[PL+1,PL+2,…,PL+L]x 2 =[ PL+1 , PL+2 ,..., PL+L ]
xi=[P(i-1)*L+1,P(i-1)*L+2,…,P(i-1)*L+L],i=1,2,…,11x i =[P (i-1)*L+1 ,P (i-1)*L+2 ,...,P (i-1)*L+L ],i=1,2,...,11
根据公式计算多个所述子序列的自相关函数的均值;其中,τ为自相关函数的自变量,在计算自相关函数值时,子序列xi的时间延迟;τ=-L+1,…,0,…,L-1。According to the formula Calculate the mean of the autocorrelation functions of a plurality of the subsequences; wherein, τ is the independent variable of the autocorrelation function, when calculating the value of the autocorrelation function, the time delay of the subsequence x i ; τ=-L+1,...,0,...,L-1.
步骤104:根据所述均值确定叠加滤波器的脉冲响应。Step 104: Determine the impulse response of the superposition filter according to the mean value.
叠加滤波器的脉冲响应f(τ)为:其中,d为时间窗的长度,决定了滤波器长度,一般ωd[τ]是叠加滤波器脉冲响应的一项,为一种特殊的时间窗;由于这一个时间窗,使得叠加滤波器的脉冲响应为有限脉冲响应滤波器,便于计算。The impulse response f(τ) of the superposition filter is: in, d is the length of the time window, which determines the length of the filter, generally ω d [τ] is an item of the impulse response of the superposition filter, which is a special time window; because of this time window, the impulse response of the superposition filter is a finite impulse response filter, which is easy to calculate.
步骤105:根据所述脉冲响应,对所述子序列进行滤波,确定滤波后的子序列。Step 105: Filter the subsequence according to the impulse response to determine the filtered subsequence.
根据公式i=1,2,…,11对每一个子序列进行滤波,其中,运算*表示卷积;为实测数据子序列xi(l)的估计,为滤除了背景噪声的功率信号。According to the formula i=1,2,...,11 filter each subsequence, where operation * represents convolution; is the estimation of the measured data subsequence x i (l), is the power signal with background noise filtered out.
步骤106:将所述滤波后的子序列重新排列,确定滤波后的功率信号序列。Step 106: Rearrange the filtered subsequences to determine a filtered power signal sequence.
将子序列重新组合,得到滤波后的功率信号序列 Recombine the subsequences to get the filtered power signal sequence
由于第11个序列有可能是通过扩充第N个数据值得到的,所以只需从序列中选取前面的N个数据即可。Since it is possible that the 11th sequence was obtained by augmenting the Nth data value, it is only necessary to start from the sequence You can select the first N data from the .
图3为本发明所提供的功率信号中背景噪声滤除系统结构图,如图3所示,一种功率信号中背景噪声滤除系统,包括:FIG. 3 is a structural diagram of a background noise filtering system in a power signal provided by the present invention. As shown in FIG. 3, a background noise filtering system in a power signal includes:
实测功率信号参数获取模块301,用于获取实测功率信号参数;所述实测功率信号参数包括实测功率信号序列以及实测功率信号序列长度N;所述实测功率信号序列包括多个实测功率信号,所述实测功率信号为含有噪声的功率信号,N为所述实测功率信号的序号,N≥1。The measured power signal
子序列确定模块302,用于对所述实测功率序列进行划分,确定多个子序列;所述子序列的长度为L, A
所述子序列确定模块302具体包括:The
子序列确定单元,用于按照所述实测功率序列的先后次序进行划分,确定多个子序列。A subsequence determination unit, configured to divide the measured power sequence according to the sequence of the measured power sequence, and determine a plurality of subsequences.
第一判断单元,用于判断所述实测功率序列是否存在剩余功率信号,得到第一判断结果;a first judging unit, configured to judge whether there is a residual power signal in the measured power sequence, and obtain a first judgment result;
子序列扩充单元,用于若所述第一判断结果表示为所述实测功率序列存在剩余功率信号,将所述剩余功率信号内最后一个功率信号扩充为长度为L的剩余序列,并将所述剩余序列作为所述实测功率序列的子序列。A subsequence expansion unit, configured to expand the last power signal in the residual power signal into a residual sequence of length L if the first judgment result indicates that there is a residual power signal in the measured power sequence, and add the residual power signal to the residual sequence. The remaining sequence is used as a subsequence of the measured power sequence.
均值计算模块303,用于计算多个所述子序列的自相关函数的均值。The mean
所述均值计算模块303具体包括:The mean
均值计算单元,用于根据公式计算多个所述子序列的自相关函数的均值;其中,τ为自相关函数的自变量,在计算自相关函数值时,子序列xi的时间延迟;τ=-L+1,…,0,…,L-1。Mean calculation unit, used to calculate according to the formula Calculate the mean of the autocorrelation functions of a plurality of the subsequences; wherein, τ is the independent variable of the autocorrelation function, when calculating the value of the autocorrelation function, the time delay of the subsequence x i ; τ=-L+1,...,0,...,L-1.
脉冲响应确定模块304,用于根据所述均值确定叠加滤波器的脉冲响应。The impulse
所述脉冲响应确定模块304具体包括:The impulse
脉冲响应确定单元,用于根据公式确定叠加滤波器的脉冲响应;其中,d为时间窗的长度, ωd[τ]是叠加滤波器脉冲响应的时间窗。Impulse response determination unit for Determines the impulse response of the superposition filter; where, d is the length of the time window, ω d [τ] is the time window of the impulse response of the stack filter.
滤波模块305,用于根据所述脉冲响应,对所述子序列进行滤波,确定滤波后的子序列。The
滤波后的功率信号序列确定模块306,用于将所述滤波后的子序列重新排列,确定滤波后的功率信号序列。The filtered power signal
采用本发明所提供的滤除方法及系统在实际应用中为一种叠加滤波器,主要滤除背景噪声中的白噪声,该叠加滤波器带通滤波器,比单纯的低通滤波器相比具有更高的截止频率,使得信号突变点的高频特性得以更好地保留,从而可以得到比低通滤波器更好的滤波效果,计算速度更快。In practical application, the filtering method and system provided by the present invention is a superposition filter, which mainly filters out white noise in the background noise. Compared with the simple low-pass filter, the superposition filter band-pass filter With a higher cutoff frequency, the high-frequency characteristics of the signal mutation point can be better preserved, so that a better filtering effect can be obtained than a low-pass filter, and the calculation speed is faster.
本说明书中各个实施例采用递进的方式描述,每个实施例重点说明的都是与其他实施例的不同之处,各个实施例之间相同相似部分互相参见即可。对于实施例公开的系统而言,由于其与实施例公开的方法相对应,所以描述的比较简单,相关之处参见方法部分说明即可。The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same and similar parts between the various embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant part can be referred to the description of the method.
本文中应用了具体个例对本发明的原理及实施方式进行了阐述,以上实施例的说明只是用于帮助理解本发明的方法及其核心思想;同时,对于本领域的一般技术人员,依据本发明的思想,在具体实施方式及应用范围上均会有改变之处。综上所述,本说明书内容不应理解为对本发明的限制。In this paper, specific examples are used to illustrate the principles and implementations of the present invention. The descriptions of the above embodiments are only used to help understand the methods and core ideas of the present invention; meanwhile, for those skilled in the art, according to the present invention There will be changes in the specific implementation and application scope. In conclusion, the contents of this specification should not be construed as limiting the present invention.
Claims (8)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810970724.7A CN108985277B (en) | 2018-08-24 | 2018-08-24 | Method and system for filtering background noise in power signal |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810970724.7A CN108985277B (en) | 2018-08-24 | 2018-08-24 | Method and system for filtering background noise in power signal |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108985277A CN108985277A (en) | 2018-12-11 |
CN108985277B true CN108985277B (en) | 2020-11-10 |
Family
ID=64548107
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810970724.7A Expired - Fee Related CN108985277B (en) | 2018-08-24 | 2018-08-24 | Method and system for filtering background noise in power signal |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108985277B (en) |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB9607879D0 (en) * | 1995-04-19 | 1996-06-19 | Motorola Inc | Receiver and associated method for timing recovery and frequency estimation |
EP0548054B1 (en) * | 1988-03-11 | 2002-12-11 | BRITISH TELECOMMUNICATIONS public limited company | Voice activity detector |
EP1533934A2 (en) * | 2003-11-21 | 2005-05-25 | Infineon Technologies AG | Method and device for predicting the noise contained in a received signal |
CN101242626A (en) * | 2007-02-09 | 2008-08-13 | 捷讯研究有限公司 | Apparatus and method for filtering a receive signal |
CN101251575A (en) * | 2008-03-28 | 2008-08-27 | 湖南大学 | A switching current circuit testing device and method based on pseudo-random signal excitation |
GB2476930A (en) * | 2010-01-06 | 2011-07-20 | Martin Tomlinson | Estimating Channel Impulse Response by cross correlating received signal with weighted taps also applied at the transmitter |
CN103413547A (en) * | 2013-07-23 | 2013-11-27 | 大连理工大学 | A method for indoor reverberation elimination |
CN104502676A (en) * | 2015-01-09 | 2015-04-08 | 珠海派诺科技股份有限公司 | Infinite pulse response high-accuracy transient signal detection method |
CN106664473A (en) * | 2014-06-30 | 2017-05-10 | 索尼公司 | Information-processing device, information processing method, and program |
-
2018
- 2018-08-24 CN CN201810970724.7A patent/CN108985277B/en not_active Expired - Fee Related
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0548054B1 (en) * | 1988-03-11 | 2002-12-11 | BRITISH TELECOMMUNICATIONS public limited company | Voice activity detector |
GB9607879D0 (en) * | 1995-04-19 | 1996-06-19 | Motorola Inc | Receiver and associated method for timing recovery and frequency estimation |
EP1533934A2 (en) * | 2003-11-21 | 2005-05-25 | Infineon Technologies AG | Method and device for predicting the noise contained in a received signal |
CN101242626A (en) * | 2007-02-09 | 2008-08-13 | 捷讯研究有限公司 | Apparatus and method for filtering a receive signal |
CN101251575A (en) * | 2008-03-28 | 2008-08-27 | 湖南大学 | A switching current circuit testing device and method based on pseudo-random signal excitation |
GB2476930A (en) * | 2010-01-06 | 2011-07-20 | Martin Tomlinson | Estimating Channel Impulse Response by cross correlating received signal with weighted taps also applied at the transmitter |
CN103413547A (en) * | 2013-07-23 | 2013-11-27 | 大连理工大学 | A method for indoor reverberation elimination |
CN106664473A (en) * | 2014-06-30 | 2017-05-10 | 索尼公司 | Information-processing device, information processing method, and program |
CN104502676A (en) * | 2015-01-09 | 2015-04-08 | 珠海派诺科技股份有限公司 | Infinite pulse response high-accuracy transient signal detection method |
Non-Patent Citations (4)
Title |
---|
Microseismic events enhancement and detection in sensor arrays using autocorrelation based filtering;Entao Liu et al;《arXiv:1612.01884》;20161206;全文 * |
Observation-Driven Method Based on IIR Wiener Filter for Microseismic Data Denoising;Naveed Iqbal et al;《Pure and Applied Geophysics》;20180131;2057-2075 * |
基于小波分析的电能质量瞬变信号的去噪分析研究;于光宗;《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》;20170415;第2017年卷(第4期);C042-228 * |
电能质量扰动信号去噪方法研究;张旭;《中国优秀硕士学位论文全文数据信息科技辑》;20160515;第2016年卷(第5期);I136-75 * |
Also Published As
Publication number | Publication date |
---|---|
CN108985277A (en) | 2018-12-11 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
KR20160039677A (en) | Voice Activation Detection Method and Device | |
CN110136735B (en) | Audio repairing method and device and readable storage medium | |
JP2007220124A (en) | Signal classification method | |
CN109741762B (en) | Voice activity detection method and device and computer readable storage medium | |
US20140278171A1 (en) | Frequency Adaptive Line Voltage Filters | |
CN102882491A (en) | Design method of sparse frequency-deviation-free linear phase FIR (finite impulse response) notch filter | |
CN101447859A (en) | Method and device for detecting frequency deviation of clock | |
CN108985277B (en) | Method and system for filtering background noise in power signal | |
CN109150136A (en) | A kind of coloured noise filtering method and system in power signal | |
CN112104339A (en) | Smoothing filtering method suitable for signals with jumping edges | |
CN110149104A (en) | A kind of robot zero phase-shift Real-Time Filtering method | |
CN106255895B (en) | Electronic battery sensor and method for determining the internal resistance of a battery | |
CN108196248A (en) | Direct methods are removed in a kind of digital radar pulse compression based on FPGA | |
WO2011137255A1 (en) | Digital fractional integrator | |
CN102281218B (en) | DC-offset eliminating system and its method | |
CN110134048B (en) | Alarm method, device, storage medium and processor | |
US9264277B2 (en) | Apparatus and method for detecting null symbols | |
CN110388996B (en) | Barkhausen signal feature acquisition method, device, terminal and storage medium | |
CN104579239B (en) | A kind of filter method of filtering system | |
CN202218259U (en) | DC Offset Cancellation System | |
CN114722343A (en) | Clutch position signal filtering method and device, storage medium and terminal | |
JP2008523749A (en) | Apparatus and method for determining arrival time of a reception sequence | |
CN105103063B (en) | Noise determination device | |
CN107966906B (en) | Fractional delay implementation method based on sampling control separation principle | |
JP4838206B2 (en) | Filter circuit and method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20201110 Termination date: 20210824 |
|
CF01 | Termination of patent right due to non-payment of annual fee |