CN115329798B - Method and system for extracting step signal from weak periodic noise - Google Patents
Method and system for extracting step signal from weak periodic noise Download PDFInfo
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Abstract
The invention discloses a method and a system for extracting step signals from weak periodic noise, wherein the method obtains a high-frequency power sequence of a total table of a platform area by adopting a high-frequency metering mode, can obtain rich power data in a very short time span, and the weak periodic noise power can be fitted into a straight line in the very short time span, then a plurality of metering point data before and after the occurrence of the power step are respectively fitted to obtain fitting straight lines before and after the power step, and finally a power step value is calculated based on power fitting values of the two fitting straight lines before and after the power step at the same time point, so that the interference of the weak periodic noise signal is eliminated, the extraction precision of the step signals is greatly improved, and the error measurement accuracy of an ammeter is further ensured.
Description
Technical Field
The present invention relates to the field of step signal extraction technology, and in particular, to a method and system for extracting a step signal from weak periodic noise, an electronic device, and a computer readable storage medium.
Background
During data processing, it is often the case that a step signal needs to be extracted, such as the CN113253189a patent, which needs to separate the step signal of power from the power fluctuation of the total table of the station area, so as to obtain an accurate power step value, which corresponds to the start-stop of a typical electric appliance (pure resistive electric appliance) physically, and the power step value can be together with the power change value monitored on the user table side to calculate the error deviation degree of the user table relative to the total table. In actual production and life, the metering accuracy of the ammeter directly affects the electricity fee expenditure of a user and the electricity fee income of a power supply company, and the error of the metering accuracy relates to electricity fairness and needs to be accurately calculated, so that the step value of power needs to be accurately calculated.
However, in a general power supply station area, the total power of the station area can be divided into two parts, one part is continuously-changed power, the power is generated by an electric appliance in the continuous operation process, the power is always in a fluctuation state, can be attributed to noise, has certain randomness and is generally in weak periodicity, the other part is abrupt power, corresponds to the start and stop of a high-power electric appliance, wherein part of pure resistive electric appliances have the characteristic of power step, are step signals which need to be accurately extracted, and the total power of the station area is always reflected by the superposition of the fluctuation power and the abrupt power. In the actual operation process, when partial electric appliances and equipment continuously operate, the electric appliances and equipment can show large fluctuation of hundreds of watts. For example, as shown in fig. 1, the weak periodic noise signal (power) generated during the operation of the water pump is in a cyclic level, that is, two adjacent points are separated by 20 ms, and the weak periodic noise signal changes periodically, but does not have strict amplitude and period value, and the power fluctuates from one hundred watts to several hundred watts. The electric appliances and the equipment lead the weak periodicity of the noise of the station area to increase the amplitude variation and the time periodicity of the noise, and the changes increase the difficulty of accurately extracting the power step value, so that the step signal is difficult to accurately extract from the weak periodicity noise at present, thereby causing poor accuracy in calculating the error of the ammeter under certain conditions.
Disclosure of Invention
The invention provides a method and a system for extracting a step signal from weak periodic noise, electronic equipment and a computer readable storage medium, which are used for solving the technical problem that the step signal cannot be accurately extracted from the weak periodic noise in the prior art.
According to one aspect of the present invention, there is provided a method of extracting a step signal from weak periodic noise, comprising:
Performing high-frequency measurement on the table zone total table to obtain a high-frequency power sequence;
Finding out the occurrence time of a power step in a power sequence, selecting a plurality of metering points before the power step occurs to perform linear fitting to obtain a first fitting line, selecting a plurality of metering points after the power step occurs to perform linear fitting to obtain a second fitting line, and enabling the slope of the first fitting line to be equal to that of the second fitting line;
and calculating a power step value based on the power fitting values of the first fitting straight line and the second fitting straight line at the same time point.
Further, the process of calculating the power step value based on the power fitting value of the first fitting straight line and the second fitting straight line at the same time point specifically includes:
And calculating power fitting values of the first metering point after the power step or the last metering point before the power step is generated based on the first fitting straight line and the second fitting straight line respectively, and calculating a difference based on the two power fitting values to obtain the power step value.
Further, by adjusting the number of fitting of the metering points before and after the occurrence of the power step, the slope of the first fitted line is made equal to the slope of the second fitted line.
Further, if the slope of the first fit line cannot be made equal to the slope of the second fit line by adjusting the number of fitting points, the calculation of the power step value is abandoned, and the new power step value is continuously calculated by using the subsequent power data.
In the process of adjusting the fitting quantity of the metering points before and after the power step, the power data cycle number before and after the power step is adjusted to be equal to the power data cycle number after the power step, then the front metering points of a group of power data before and the rear metering points of a group of power data after the power step are increased or decreased, and finally the slope of the first fitting straight line is equal to the slope of the second fitting straight line.
Further, the fitting process of the first fitting straight line and the second fitting straight line specifically comprises the following steps:
For a power sequence (x i,yi) containing weak periodic noise, wherein x i represents the position of the ith metering point in the power sequence, and y i represents the power value of the ith metering point corresponding to the time stamp of the ith metering point, and a linear regression method is adopted to perform linear fitting to obtain a fitting straight line.
Further, the time span of the power sequence is 1 s-10 s.
In addition, the invention also provides a system for extracting step signals from weak periodic noise, which comprises:
The data metering module is used for performing high-frequency metering on the total table of the station area to obtain a high-frequency power sequence;
the data fitting module is used for finding out the occurrence time of the power step in the power sequence, selecting a plurality of metering points before the power step occurs to perform linear fitting to obtain a first fitting straight line, selecting a plurality of metering points after the power step occurs to perform linear fitting to obtain a second fitting straight line, and enabling the slope of the first fitting straight line to be equal to that of the second fitting straight line;
and the data analysis module is used for calculating a power step value based on the power fitting value of the first fitting straight line and the second fitting straight line at the same time point.
In addition, the invention also provides an electronic device comprising a processor and a memory, wherein the memory stores a computer program, and the processor is used for executing the steps of the method by calling the computer program stored in the memory.
In addition, the invention also provides a computer-readable storage medium storing a computer program for extracting a step signal from weak periodic noise, which when run on a computer performs the steps of the method as described above.
The invention has the following effects:
According to the method for extracting the step signal from the weak periodic noise, the total table of the station area is subjected to high-frequency measurement to obtain the high-frequency power sequence, so that rich power data can be formed in a short time span. Then, the occurrence time of the power step is found from the high-frequency power sequence, because the high-frequency power data is collected, the power fluctuation of the weak periodic noise can be fitted into a straight line in a very short time span, a plurality of metering points before the power step occurs are selected for straight line fitting to obtain a first fitting straight line, a plurality of metering points after the power step occurs are selected for straight line fitting to obtain a second fitting straight line, and the slopes of the two fitting straight lines are equal. The power fitting value obtained by the first fitting straight line is the power fluctuation value of the weak periodic noise signal, and the power fitting value obtained by the second fitting straight line is the superposition of the power value of the weak periodic noise signal and the power step value of the step signal. And finally, calculating a power step value based on the power fitting value of the first fitting straight line and the second fitting straight line at the same time point. According to the method for extracting the step signal from the weak periodic noise, the total high-frequency power sequence of the station area is obtained in a high-frequency metering mode, rich power data can be obtained in a short time span, the power of the weak periodic noise can be fitted into a straight line in the short time span, then fitting straight lines before and after the power step are obtained based on fitting of a plurality of metering point data before and after the power step, finally, a power step value is obtained by calculating the power fitting value of the same time point based on the two fitting straight lines before and after the power step, interference of the weak periodic noise signal is eliminated, extraction precision of the step signal is greatly improved, and further error measurement accuracy of an ammeter is guaranteed.
In addition, the system for extracting the step signal from the weak periodic noise has the advantages.
In addition to the objects, features and advantages described above, the present invention has other objects, features and advantages. The present invention will be described in further detail with reference to the drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:
Fig. 1 is a schematic diagram of power fluctuations in a weak periodic noise signal generated by a water pump during operation.
Fig. 2 is a flow chart of a method of extracting a step signal from weak periodic noise according to a preferred embodiment of the present invention.
Fig. 3 is a schematic diagram of a preferred embodiment of the present invention for fitting a weak periodic noise signal to a straight line.
Fig. 4 is a power schematic of a weak periodic noise signal and a step signal in a preferred embodiment of the invention.
Fig. 5 is a power schematic diagram of the preferred embodiment of the present invention after superimposing a weak periodic noise signal with a step signal.
Fig. 6 is a schematic diagram of a power sequence fitted straight before and after a power step in a preferred embodiment of the invention.
Fig. 7 is a power schematic diagram of superimposing a weak periodic noise signal with a step signal at different step occurrence moments in another embodiment of the present invention.
Fig. 8 is a schematic diagram of calculating a power step value in a preferred embodiment of the invention.
Fig. 9 is a schematic block diagram of a system for extracting a step signal from weak periodic noise according to another embodiment of the present invention.
Detailed Description
Embodiments of the invention are described in detail below with reference to the attached drawing figures, but the invention can be practiced in a number of different ways, as defined and covered below.
As shown in fig. 2, a preferred embodiment of the present invention provides a method for extracting a step signal from weak periodic noise, comprising the following steps:
Step S1: performing high-frequency measurement on the table zone total table to obtain a high-frequency power sequence;
Step S2: finding out the occurrence time of a power step in a power sequence, selecting a plurality of metering points before the power step occurs to perform linear fitting to obtain a first fitting line, selecting a plurality of metering points after the power step occurs to perform linear fitting to obtain a second fitting line, and enabling the slope of the first fitting line to be equal to that of the second fitting line;
Step S3: and calculating a power step value based on the power fitting values of the first fitting straight line and the second fitting straight line at the same time point.
It can be appreciated that in the method for extracting step signals from weak periodic noise of this embodiment, the total table of the station area is first subjected to high-frequency measurement to obtain a high-frequency (for example, in the circumferential level, that is, 20 ms) power sequence, so that abundant power data can be formed in a very short time span. Then, the occurrence time of the power step is found from the cycle level power sequence, and because the cycle level power data is collected, the power fluctuation of the weak periodic noise can be fitted into a straight line in a very short time span, a plurality of metering points before the power step occurs are selected for straight line fitting to obtain a first fitting straight line, a plurality of metering points after the power step occurs are selected for straight line fitting to obtain a second fitting straight line, and the slopes of the two fitting straight lines are equal. The power fitting value obtained by the first fitting straight line is the power fluctuation value of the weak periodic noise signal, and the power fitting value obtained by the second fitting straight line is the superposition of the power fluctuation value of the weak periodic noise signal and the power step value of the step signal. And finally, calculating a power step value based on the power fitting value of the first fitting straight line and the second fitting straight line at the same time point. According to the method for extracting the step signal from the weak periodic noise, the cyclic power sequence of the total table of the station area is obtained by adopting the high-frequency metering mode, rich power data can be obtained in a very short time span, the power of the weak periodic noise can be fitted into a straight line in the very short time span, then the fitting straight line before and after the power step is obtained based on fitting of a plurality of metering point data before and after the power step, and finally the power step value is obtained by calculating the fitting value of the power at the same time point based on the two fitting straight lines before and after the power step, so that the interference of the weak periodic noise signal is eliminated, the extraction precision of the step signal is greatly improved, and the error measurement accuracy of the ammeter is further ensured.
It will be appreciated that in said step S1, the total table of the zones is metered with a granularity of Zhou Boji (20 ms), which allows to form a rich power sequence in a very short time span. And, the power value of the weak periodic noise oscillates back and forth in a short time span, so that the power fluctuation of the weak periodic noise signal can be fitted to a straight line, as shown in fig. 3. Optionally, in order to ensure a linear fit of the weak periodic noise signal, the time span of the power sequence is controlled between 1s and 10s, more preferably 2s.
It can be understood that in the step S2, the power values in the power sequence are compared with a preset threshold value, when the power change value at a certain time point exceeds the preset threshold value, it is determined that a power jump occurs, and the corresponding time point is the occurrence time of the power jump. As shown in fig. 4 and 5, the step signal is characterized by a steady state before and after the step, and its power value fluctuates in a small range, and the step process is short, so when the power jump satisfies the above condition, the power jump is a power step. Thus, the power values of the plurality of metering points of the power sequence before the power step occurs may be fitted to a straight line, and the power values of the plurality of metering points of the power sequence after the power step occurs may also be fitted to a straight line, as shown in fig. 6. Specifically, a first fitting straight line is obtained by starting to fit from the last time point before the step, and a second fitting straight line is obtained by starting to fit from the first time point after the step. In an ideal case, the slopes of the two fit lines before and after the occurrence of the power step are the same, but in a real environment, due to the weak periodicity of the noise signal, the amplitude and the period value of the noise signal are not fixed, and a certain deviation may exist between the slopes of the two fit lines. Preferably, the invention adjusts the fitting quantity of the metering points before and after the power step occurs, so that the slope of the first fitting straight line is equal to the slope of the second fitting straight line, thereby realizing the self-adaptive adjustment of the amplitude and the period value of the weak periodic noise signal. As a further preferred aspect, the present invention uses a combination of coarse tuning and fine tuning in adjusting the number of gauge point fits before and after a power step occurs. Coarse tuning means that the number of power data cycles before the occurrence of a power step is equal to the number of power data cycles after the occurrence of the power step, so that the slopes of the two fitting straight lines can be quickly adjusted to be approximately equal, for example, the data before the occurrence of the power step comprises 10 cycles of power data, and the power data after the occurrence of the power step comprises 9 or 10 or 11 cycles of power data, which can play a role in eliminating the influence caused by the non-fixed amplitude of the weak periodic noise signal. The fine tuning means that the front end metering points of a group of power data before the occurrence of the power step and the rear end metering points of a group of power data after the occurrence of the power step are subjected to increase and decrease adjustment, and because the period value of the weak periodic noise signal is not fixed, the metering points contained in individual periods are different from most periods, and the slopes of the fitting straight lines can be accurately adjusted by increasing and decreasing the front end metering points of a group of power data before the occurrence of the power step and the rear end metering points of a group of power data after the occurrence of the power step, so that the slopes of the two fitting straight lines are equal, and the influence caused by the fact that the period value of the weak periodic noise signal is not fixed is eliminated. And when fine tuning is performed, the remote metering point far away from the step moment is subjected to increase and decrease adjustment, so that the linear fitting precision can be ensured, the fitting precision of the power fitting value near the step moment can be ensured, and the calculating precision of the power step value is ensured.
In addition, if the slope of the first fitting straight line cannot be equal to the slope of the second fitting straight line by adjusting the fitting number of the metering points, the noise signal does not have a trend condition, or the power after the electric appliance is started is not stable and is not a step in a strict sense, at this time, in order to ensure the accuracy of the power step value, the calculation of the power step value is abandoned, and the subsequent power data is used for continuously calculating a new power step value.
In addition, in another embodiment of the present invention, the noise signal and the step signal may be superimposed without adopting a linear fitting manner, and the power value of the first point after the power step minus the power value of the last point before the power step may be directly adopted, so as to calculate the power step value. But there may be a large deviation between the calculated power step values at different power step moments. For example, as shown in fig. 7, the power step in the solid line part occurs at 9 seconds, the power step in the dotted line part occurs at 8 seconds, and for the steps occurring at different time points, if the power step value is calculated by directly subtracting the previous point power value from the next point power value, there is a large deviation, and then the compensation values of the 9 th and 8 th seconds need to be calculated correspondingly. For weak periodic noise signals, this compensation value is difficult to calculate, with a high chance, because it does not have strict amplitude and period values.
It can be understood that the fitting process of the first fitting straight line and the second fitting straight line in the step S2 is specifically:
For a power sequence (x i,yi) containing weak periodic noise, where x i represents the position of the ith metering point in the power sequence, that is, a timestamp corresponding to the ith metering point, y i represents the power value of the ith metering point, and a linear regression method is used to perform line fitting to obtain a fitted line. For example, a least square method is used to perform straight line fitting:
y＝kx+b
wherein,
It will be appreciated that the present invention may also be used to obtain a fitted line using other existing linear fitting methods, such as Theil regression, siegel regression, etc.
In addition, in other embodiments of the present invention, the correlations between x i and y i in the power sequence may be calculated first, if the correlations have strong correlations, then linear regression is used to perform straight line fitting, if the correlations do not have strong correlations, the power sequence is abandoned, and after the correlations are recalculated by using the subsequent power sequence, the straight line fitting is performed. Specifically, the pearson correlation coefficient may be used to determine the correlation between x i and y i, and if the pearson correlation coefficient of the two is close to ±1, the two have a strong correlation.
It can be understood that the process of calculating the power step value based on the power fitting values of the first fitting line and the second fitting line at the same time point in the step S3 specifically includes:
And calculating power fitting values of the first metering point after the power step occurs based on the first fitting straight line and the second fitting straight line respectively, and calculating a difference based on the two power fitting values to obtain a power step value.
Specifically, as shown in fig. 8, the second fit straight line is shifted downward to be aligned with the first fit straight line, and the distance of this shift is the height of the step. However, in actual calculation, the two fitting lines cannot be aligned strictly, but only can be aligned within a small angle, so in order to minimize the influence of the angle, the calculation accuracy can be improved by selecting the first metering point after the step occurs for calculation, that is, the fitting is performed to obtain the power fitting value p 1 of the first metering point after the power step occurs, and similarly, the fitting is performed to obtain the power fitting value p 2 of the first metering point after the power step occurs, so that the power step value Δp=p 2-p1. In addition, the calculation is symmetrical to the calculation of the first metering point after the step is selected, and the calculation of the last metering point before the step is selected.
In addition, as shown in fig. 9, another embodiment of the present invention further provides a system for extracting a step signal from weak periodic noise, preferably using the method as described above, the system comprising:
The data metering module is used for performing high-frequency metering on the total table of the station area to obtain a high-frequency power sequence;
the data fitting module is used for finding out the occurrence time of the power step in the power sequence, selecting a plurality of metering points before the power step occurs to perform linear fitting to obtain a first fitting straight line, selecting a plurality of metering points after the power step occurs to perform linear fitting to obtain a second fitting straight line, and enabling the slope of the first fitting straight line to be equal to that of the second fitting straight line;
and the data analysis module is used for calculating a power step value based on the power fitting value of the first fitting straight line and the second fitting straight line at the same time point.
It can be appreciated that in the system for extracting step signals from weak periodic noise of this embodiment, the total table of the station area is first subjected to high-frequency measurement to obtain the cyclic power sequence, so that rich power data can be formed in a very short time span. Then, the occurrence time of the power step is found from the cycle level power sequence, and because the cycle level power data is collected, the power fluctuation of the weak periodic noise can be fitted into a straight line in a very short time span, a plurality of metering points before the power step occurs are selected for straight line fitting to obtain a first fitting straight line, a plurality of metering points after the power step occurs are selected for straight line fitting to obtain a second fitting straight line, and the slopes of the two fitting straight lines are equal. The power fitting value obtained by the first fitting straight line is the power fluctuation value of the weak periodic noise signal, and the power fitting value obtained by the second fitting straight line is the superposition of the power fluctuation value of the weak periodic noise signal and the power step value of the step signal. And finally, calculating a power step value based on the power fitting value of the first fitting straight line and the second fitting straight line at the same time point. According to the system for extracting the step signal from the weak periodic noise, the cyclic power sequence of the total table of the station area is obtained by adopting the high-frequency metering mode, rich power data can be obtained in a very short time span, the power of the weak periodic noise can be fitted into a straight line in the very short time span, then the fitting straight line before and after the power step is obtained based on fitting of a plurality of metering point data before and after the power step, and finally the power step value is obtained by calculating the fitting value of the power at the same time point based on the two fitting straight lines before and after the power step, so that the interference of the weak periodic noise signal is eliminated, the extraction precision of the step signal is greatly improved, and the error measurement accuracy of an ammeter is further ensured.
In addition, another embodiment of the present invention also provides an electronic device, including a processor and a memory, where the memory stores a computer program, and the processor is configured to execute the steps of the method described above by calling the computer program stored in the memory.
In addition, another embodiment of the present invention also provides a computer readable storage medium storing a computer program for extracting a step signal from weak periodic noise, the computer program executing the steps of the method as described above when run on a computer.
Forms of general computer-readable storage media include: a floppy disk (floppy disk), a flexible disk (flexibledisk), a hard disk, magnetic tape, any other magnetic medium, a CD-ROM, any other optical medium, punch cards, paper tape (PAPER TAPE), any other physical medium with patterns of holes, random Access Memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), FLASH erasable programmable read-only memory (FLASH-EPROM), any other memory chip or cartridge, or any other medium from which a computer can read. The instructions may further be transmitted or received over a transmission medium. The term transmission medium may include any tangible or intangible medium that may be used to store, encode, or carry instructions for execution by a machine, and includes digital or analog communications signals or their communications with intangible medium that facilitate communication of such instructions. Transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise a bus for transmitting a computer data signal.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A method of extracting a step signal from weak periodic noise, comprising:
Performing high-frequency measurement on the table zone total table to obtain a high-frequency power sequence;
Finding out the occurrence time of a power step in a power sequence, selecting a plurality of metering points before the power step occurs to perform linear fitting to obtain a first fitting line, selecting a plurality of metering points after the power step occurs to perform linear fitting to obtain a second fitting line, and enabling the slope of the first fitting line to be equal to that of the second fitting line;
Calculating a power step value based on the power fitting value of the first fitting straight line and the second fitting straight line at the same time point;
The process of calculating the power step value based on the power fitting value of the first fitting straight line and the second fitting straight line at the same time point specifically comprises the following steps:
Calculating power fitting values of a first metering point after the power step occurs based on the first fitting straight line and the second fitting straight line respectively, and calculating a difference based on the two power fitting values to obtain a power step value;
Or alternatively
And calculating a power fitting value of the last metering point before the power step occurs based on the first fitting straight line and the second fitting straight line respectively, and calculating a power step value based on a difference between the two power fitting values.
2. The method of extracting a step signal from a weak periodic noise according to claim 1, wherein the slope of the first fit line is equal to the slope of the second fit line by adjusting the number of fitting of the metering points before and after the occurrence of the power step.
3. The method of extracting a step signal from weak periodic noise according to claim 2, wherein if the slope of the first fit line cannot be made equal to the slope of the second fit line by adjusting the number of fitting points, the calculation of the power step value is aborted, and the calculation of the new power step value is continued using the subsequent power data.
4. The method of extracting a step signal from weak periodic noise according to claim 2, wherein in the process of adjusting the fitting number of the metering points before and after the occurrence of the power step, the number of power data cycles before and after the occurrence of the power step is adjusted to be equal to the number of power data cycles before and after the occurrence of the power step, and then the front metering points of the set of power data before and the rear metering points of the set of power data after the occurrence of the power step are adjusted to be increased or decreased, so that the slope of the first fitting straight line is equal to the slope of the second fitting straight line.
5. The method for extracting step signal from weak periodic noise according to claim 1, wherein the fitting process of the first fitting straight line and the second fitting straight line is specifically:
For a power sequence (x i,yi) containing weak periodic noise, wherein x i represents the position of the ith metering point in the power sequence, and y i represents the power value of the ith metering point corresponding to the time stamp of the ith metering point, and a linear regression method is adopted to perform linear fitting to obtain a fitting straight line.
6. The method of extracting a step signal from weak periodic noise according to claim 1, wherein the power sequence has a time span of 1s to 10s.
7. A system for extracting a step signal from weak periodic noise, comprising:
The data metering module is used for performing high-frequency metering on the total table of the station area to obtain a high-frequency power sequence;
the data fitting module is used for finding out the occurrence time of the power step in the power sequence, selecting a plurality of metering points before the power step occurs to perform linear fitting to obtain a first fitting straight line, selecting a plurality of metering points after the power step occurs to perform linear fitting to obtain a second fitting straight line, and enabling the slope of the first fitting straight line to be equal to that of the second fitting straight line;
The data analysis module is used for calculating a power step value based on the power fitting value of the first fitting straight line and the second fitting straight line at the same time point;
The process of calculating the power step value by the data analysis module based on the power fitting value of the first fitting straight line and the second fitting straight line at the same time point specifically comprises the following steps:
Calculating power fitting values of a first metering point after the power step occurs based on the first fitting straight line and the second fitting straight line respectively, and calculating a difference based on the two power fitting values to obtain a power step value;
Or alternatively
And calculating a power fitting value of the last metering point before the power step occurs based on the first fitting straight line and the second fitting straight line respectively, and calculating a power step value based on a difference between the two power fitting values.
8. An electronic device comprising a processor and a memory, said memory having stored therein a computer program for executing the steps of the method according to any of claims 1-6 by invoking said computer program stored in said memory.
9. A computer-readable storage medium storing a computer program for extracting a step signal from weak periodic noise, characterized in that the computer program when run on a computer performs the steps of the method according to any of claims 1-6.
Priority Applications (1)
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| CN1658290A (en) * | 2003-04-01 | 2005-08-24 | 西加特技术有限责任公司 | Method and arrangement for removing noise and measurements of head-media spacing modulation for digital recording |
| CN102150037A (en) * | 2008-07-11 | 2011-08-10 | 康奈尔大学 | Nanofluidic channels with integrated charge sensors and methods based thereon |
| CN101403892A (en) * | 2008-10-31 | 2009-04-08 | 江苏科技大学 | Controlled member parameter recognition method based on DC motor angular displacement control |
| CN104283626A (en) * | 2013-07-12 | 2015-01-14 | 上海明波通信技术股份有限公司 | Method for guaranteeing stability of T2 frame received signal level and level step detection device used for same |
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