CN108832909A - The processing method of digital filtering in time difference method signal acquisition - Google Patents
The processing method of digital filtering in time difference method signal acquisition Download PDFInfo
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- CN108832909A CN108832909A CN201810642912.7A CN201810642912A CN108832909A CN 108832909 A CN108832909 A CN 108832909A CN 201810642912 A CN201810642912 A CN 201810642912A CN 108832909 A CN108832909 A CN 108832909A
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
- H03H17/00—Networks using digital techniques
- H03H17/02—Frequency selective networks
- H03H17/0202—Two or more dimensional filters; Filters for complex signals
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
- H03H17/00—Networks using digital techniques
- H03H17/02—Frequency selective networks
- H03H17/0219—Compensation of undesirable effects, e.g. quantisation noise, overflow
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
- H03H17/00—Networks using digital techniques
- H03H17/02—Frequency selective networks
- H03H17/0223—Computation saving measures; Accelerating measures
- H03H2017/0245—Measures to reduce power consumption
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- Computer Hardware Design (AREA)
- Mathematical Physics (AREA)
- Memory System Of A Hierarchy Structure (AREA)
Abstract
The invention discloses the processing methods of digital filtering in time difference method signal acquisition, the processing method of digital filtering in time difference method signal acquisition, pending data is divided into multistage, source data after every coagulation is complete as next stage, so that pending data is divided into multi-stage data classification synchronization process, the memory consumption that can be significantly reduced in digital filtering processing, and calculating speed is greatly improved.The data volume of every level-one can according to circumstances self-defining data quantitative change amount；It is classified when pending data is divided into multistage according to data group byte number, data variable number, average data mode；It will can be classified automatically to processing data by setting according to data group byte number, data variable number, average data mode；Pending data also carries out data burst structure definition before classification, and the data burst structure includes data result, valid data counting, invalid data counting, data buffer storage group, every group of current data pointer.
Description
Technical field
The present invention relates to a kind of processing methods of digital filtering, and in particular to digital filtering in a kind of time difference method signal acquisition
Processing method.
Background technique
During time difference method flow measurement, the measurement accuracy of equipment is directly affected to the acquisition precision of time difference.It passes
The timing chips such as FPGA or GP21 that the time difference signal acquisition of system is all, but these chip signal processing capacities are on the weak side, and
It is with high costs.
Summary of the invention
The technical problem to be solved by the present invention is to：The timing such as FPGA or GP21 that traditional time difference signal acquisition is all
Chip, but the problem that these chip signal processing capacities are on the weak side, the present invention provides the time difference method signals to solve the above problems to adopt
Concentrate the processing method of digital filtering.
The present invention is achieved through the following technical solutions：
Pending data is divided into multistage by the processing method of digital filtering in time difference method signal acquisition, and every coagulation is complete
Afterwards as the source data of next stage.By splitting data into multistage, source data of every level-one as next stage, so that number to be processed
It is classified synchronization process according to multi-stage data is divided into, the memory consumption that can be significantly reduced in digital filtering processing, and significantly
Raising calculating speed.
Further, the method to be processed for being divided into multistage is mainly included the following steps that：
S1. initialization data state；
S2. addition new data is handled to the 1st grade of caching；
S3. judge whether current cache has expired, if current cache has expired, current processing result deposit next stage is delayed
It deposits；If current cache is less than, directly judge whether reduced data ratio reaches setting value；
S4. in step s3, if current cache has expired, after current processing result deposit next stage caching, judgement
It whether is afterbody；If not afterbody, then repeatedly step S3；If afterbody then exports processing result；
S5. in step s3, if current cache is less than, directly judge whether reduced data ratio reaches setting value
Afterwards, if reaching setting value, processing result is returned；If not up to setting value exports invalid value.
Further, the data volume of every level-one can according to circumstances self-defining data quantitative change amount.By can customize every level-one
Data volume variable make use scope wider.
Further, according to data group byte number, data variable number, average data mode when pending data is divided into multistage
It is classified.Processing data will can be arrived according to data group byte number, data variable number, average data mode automatically by setting
It is classified.
Further, pending data also carries out data burst structure definition before classification, and the data burst structure includes
Data result, valid data counting, invalid data counting, data buffer storage group, every group of current data pointer.By the way that data knot is arranged
Structure improves processing speed.
The present invention has the advantage that and beneficial effect：
1, the present invention can be significantly reduced the memory consumption in digital filtering processing, and calculating speed is greatly improved
Degree；
2, the present invention makes use scope wider by can customize the data volume variable of every level-one；
3, the present invention will can be arrived by setting according to data group byte number, data variable number, average data mode automatically
Processing data are classified.
Detailed description of the invention
Attached drawing described herein is used to provide to further understand the embodiment of the present invention, constitutes one of the application
Point, do not constitute the restriction to the embodiment of the present invention.In the accompanying drawings：
Fig. 1 is data progression process flow diagram of the invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below with reference to embodiment and attached drawing, to this
Invention is described in further detail, and exemplary embodiment of the invention and its explanation for explaining only the invention, are not made
For limitation of the invention.
Embodiment 1
As shown in Figure 1, in time difference method signal acquisition digital filtering processing method, pending data is divided into multistage, often
Source data after coagulation is complete as next stage.
The method to be processed for being divided into multistage is mainly included the following steps that：
S1. initialization data state；
S2. addition new data is handled to the 1st grade of caching；
S3. judge whether current cache has expired, if current cache has expired, current processing result deposit next stage is delayed
It deposits；If current cache is less than, directly judge whether reduced data ratio reaches setting value；
S4. in step s3, if current cache has expired, after current processing result deposit next stage caching, judgement
It whether is afterbody；If not afterbody, then repeatedly step S3；If afterbody then exports processing result；
S5. in step s3, if current cache is less than, directly judge whether reduced data ratio reaches setting value
Afterwards, if reaching setting value, processing result is returned；If not up to setting value exports invalid value.
The data volume of every level-one can according to circumstances self-defining data quantitative change amount；According to data when pending data is divided into multistage
Group byte number, data variable number, average data mode are classified；By setting according to data group byte number, data variable number,
Average data mode will can be classified to processing data automatically；Pending data also carries out data burst structure before classification
Definition, the data burst structure include data result, valid data counting, invalid data counting, data buffer storage group, every group it is current
Data pointer.When implementation, for example to handle 1000 datas.1000 internal storage locations are traditionally needed, and to be carried out
1000 sequences, cumulative etc. calculate.It is divided into 3 grades by this method, every grade of one group of data are 10 datas, the 1st grade of 10 articles of numbers
According to processing result as the 2nd grade of source data, the processing result of the 2nd grade of 10 datas is used as the source data of 3rd level again；In this way
2nd grade of every 1 data is all equivalent to original every 10 data, and every 1 data of 3rd level is equivalent to original every 100
Data；Finally reach 10 data process effects of 3 powers equal to 1000；Its practical operation is to define data group variable
Float_Cass3_Num10 occupies about 150 bytes；Call processing function float_Average, and Transfer Parameters, including caching
Group address, new data, data area handle ratio, processing mode etc.；The memory for occupying about 150 bytes is completed this by function
Occupy the data that 4000 byte of memory could be handled, also it is only necessary to original 4% or so for same CPU occupancy.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (5)
1. the processing method of digital filtering in time difference method signal acquisition, which is characterized in that pending data is divided into multistage, it is each
Grade has handled the rear source data as next stage.
2. the processing method of digital filtering in time difference method signal acquisition according to claim 1, which is characterized in that described to incite somebody to action
The method to be processed for being divided into multistage mainly includes the following steps that：
S1. initialization data state；
S2. addition new data is handled to the 1st grade of caching；
S3. judge whether current cache has expired, if current cache has expired, by current processing result deposit next stage caching；
If current cache is less than, directly judge whether reduced data ratio reaches setting value；
S4. in step s3, if current cache has expired, after current processing result deposit next stage caching, judge whether
For afterbody；If not afterbody, then repeatedly step S3；If afterbody then exports processing result；
S5. in step s3, if current cache is less than, after directly judging whether reduced data ratio reaches setting value, if
Reach setting value, then returns to processing result；If not up to setting value exports invalid value.
3. the processing method of digital filtering in time difference method signal acquisition according to claim 1, which is characterized in that described every
The data volume of level-one can according to circumstances self-defining data quantitative change amount.
4. the processing method of digital filtering in time difference method signal acquisition according to claim 1, which is characterized in that it is described to
Processing data are classified when being divided into multistage according to data group byte number, data variable number, average data mode.
5. the processing method of digital filtering in time difference method signal acquisition according to claim 1, which is characterized in that it is described to
Processing data also carry out data burst structure definition before classification, and the data burst structure includes data result, valid data meter
Number, invalid data counting, data buffer storage group, every group of current data pointer.
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| CN201810642912.7A CN108832909A (en) | 2018-06-21 | 2018-06-21 | The processing method of digital filtering in time difference method signal acquisition |
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| CN201810642912.7A CN108832909A (en) | 2018-06-21 | 2018-06-21 | The processing method of digital filtering in time difference method signal acquisition |
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Citations (4)
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|---|---|---|---|---|
| US5893150A (en) * | 1996-07-01 | 1999-04-06 | Sun Microsystems, Inc. | Efficient allocation of cache memory space in a computer system |
| CN103365793A (en) * | 2012-03-28 | 2013-10-23 | 国际商业机器公司 | Data processing method and system |
| US8924647B1 (en) * | 2012-09-26 | 2014-12-30 | Emc Corporation | Dynamic selection of data replacement protocol for multi-level cache |
| CN106557272A (en) * | 2015-09-30 | 2017-04-05 | 中国科学院软件研究所 | A kind of efficient sensor historic data archiving method |
-
2018
- 2018-06-21 CN CN201810642912.7A patent/CN108832909A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5893150A (en) * | 1996-07-01 | 1999-04-06 | Sun Microsystems, Inc. | Efficient allocation of cache memory space in a computer system |
| CN103365793A (en) * | 2012-03-28 | 2013-10-23 | 国际商业机器公司 | Data processing method and system |
| US8924647B1 (en) * | 2012-09-26 | 2014-12-30 | Emc Corporation | Dynamic selection of data replacement protocol for multi-level cache |
| CN106557272A (en) * | 2015-09-30 | 2017-04-05 | 中国科学院软件研究所 | A kind of efficient sensor historic data archiving method |
Non-Patent Citations (1)
| Title |
|---|
| 杨雷: "《MapReduce作业执行性能优化若干关键技术研究》", 31 December 2015, 东北大学出版社 * |
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Application publication date: 20181116 |