CN103092731A - Fine-adjustment remainder validation fault-tolerant low-pass filtering processing method based on input - Google Patents
Fine-adjustment remainder validation fault-tolerant low-pass filtering processing method based on input Download PDFInfo
- Publication number
- CN103092731A CN103092731A CN2013100428289A CN201310042828A CN103092731A CN 103092731 A CN103092731 A CN 103092731A CN 2013100428289 A CN2013100428289 A CN 2013100428289A CN 201310042828 A CN201310042828 A CN 201310042828A CN 103092731 A CN103092731 A CN 103092731A
- Authority
- CN
- China
- Prior art keywords
- branch road
- remainder
- branch
- input data
- low
- 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.)
- Granted
Links
Images
Landscapes
- Image Processing (AREA)
Abstract
The invention provides a fine-adjustment remainder validation fault-tolerant low-pass filtering processing method based on input. The method includes a first step of respectively transmitting collected data x to a first branch, a second branch and a remainder branch, wherein the first branch and the second branch are two completely identical low-pass filter branches, and the remainder branch is a low-pass filter branch based on remainder processing, a second step of carrying out modular processing to x, a third step of adding or subtracting one from input data of the first branch, the second branch and the remainder branch when a modular result at an odd or an even time is equal to zero, and then carrying out fault-tolerant filtering processing based on remainder validation to novel input data after adding or subtracting one through fine-adjustment, and a fourth step of directly carrying out general fault-tolerant filtering processing based on the remainder validation to the input data of the first branch, the second branch and the remainder branch when the modular result is not equal to zero. The fine-adjustment remainder validation fault-tolerant low-pass filtering processing method can avoid the problem of missing detection of faults caused by single-event upset happening to a filter coefficient, and has the advantages of being simple in operation and high in result accuracy.
Description
Technical field
The present invention relates to reliable calculating and fault-tolerant signal processing technology field, particularly a kind of fault-tolerant low-pass filtering treatment method of residue check based on the input fine setting.
Background technology
The radiation meeting impacts the operation of digital signal processor, and then can cause exporting data and mistake occurs.For example, the digital signal processing appts that loads on some satellites often can be subject to the impact of irradiation space and causes signal to be processed mistake occurring.Fault-tolerant signal processing technology has appearred in order to address this problem.
The fault-tolerant signal of triplication redundancy (Triple Modular Redundancy, TMR) technology under radiation environment is used widely in processing.Fault-tolerant design for wave filter, TMR uses three identical filtration modules to carry out identical filtering operation to the input data, and determine final output at output terminal by most selector switchs, eliminated single branch trouble fully and signal has been processed the impact of output.But in the triplication redundancy technology, all computings, storage and power resource consumption all are increased to original three times, and this makes the triplication redundancy technology can't use in a lot of resource-constrained application, as the fault-tolerant signal processing on spaceborne computing platform etc.
Produce the fault-tolerant signal processing technology based on residue check for this reason, further reduced the resource requirement in fault-tolerant signal processing technology.Basic ideas are that a branch road in triplication redundancy is become the filter branch of processing based on remainder, when other two branch road results are inconsistent, after result remainder with two branch roads, compare with the result of remainder filter branch, just select correct result through once judging, and the branch road of fault has appearred in judgement.
But this method has a defective, namely when the shift register of wave filter or filter coefficient generation single-particle inversion, the mistake output that may make fault branch just with correct output congruence, this moment, the remainder filter branch can't judge that fault has appearred in which branch road, and the undetected problem of fault has namely occured.And find by theoretical analysis, the fault that is caused by filter coefficient generation single-particle inversion is undetected, and all to occur in input data delivery be moment of zero.
Summary of the invention
The present invention one of is intended to solve the problems of the technologies described above at least to a certain extent or provides at least a kind of useful business to select.For this reason, one object of the present invention is to propose a kind of fault-tolerant low-pass filtering treatment method of residue check based on the input fine setting, and the method can effectively be avoided by the undetected problem of the caused fault of filter coefficient generation single-particle inversion.
To achieve these goals, the fault-tolerant low-pass filtering treatment method of residue check based on the input fine setting according to the embodiment of the present invention, it is characterized in that, comprise the following steps: A: image data x is transferred to respectively the first branch road, the second branch road and remainder branch road, wherein, described the first branch road and the second branch road are two identical low-pass filter branch roads, and described remainder branch road is a low-pass filter branch road of processing based on remainder; B: in described remainder branch road, described x is carried out delivery process (x)
m, wherein modulus m is positive integer, the delivery result is x
mC: as described x
mExecution in step C1 when odd number equals zero is as described x
mExecution in step C2 when even number equals zero is as described x
mExecution in step C3 when being not equal to zero; C1: the input data of described the first branch road and the second branch road are added 1, and the delivery result of described remainder branch road is added 1, described the first branch road, the second branch road and remainder branch road carry out the general Fault Tolerant Filtering processing based on residue check to the new input data that fine setting adds after 1 subsequently; C2: with the input data minus 1 of described the first branch road and the second branch road, and the delivery result of described remainder branch road is subtracted 1, described the first branch road, the second branch road and remainder branch road carry out the general Fault Tolerant Filtering processing based on residue check to the new input data that fine setting subtracts after 1 subsequently; C3: directly the input data of described the first branch road, the second branch road and remainder branch road are carried out the general Fault Tolerant Filtering based on residue check and process.
The method according to this invention is inputted data fine settings, can avoid by the undetected problem of the caused fault of filter coefficient generation single-particle inversion, have simple to operate, the high advantage of accuracy rate as a result.
In one embodiment of the invention, described low-pass filter is Direct-type or transposition type FIR wave filter.
In one embodiment of the invention, multiplication and additive operation in the filter filtering process in described remainder branch road are: p and q are two operands and for positive integer, multiplying is ((p)
m* (q)
m)
m, additive operation is ((p)
m+ (q)
m)
m
In one embodiment of the invention, described modulus m is preferably 3.
Additional aspect of the present invention and advantage part in the following description provide, and part will become obviously from the following description, or recognize by practice of the present invention.
Description of drawings
Of the present invention and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments and obviously and easily understand, wherein:
Fig. 1 is the schematic diagram of existing Fault Tolerant Filtering disposal route based on residue check;
Fig. 2 is the process flow diagram of the fault-tolerant low-pass filtering treatment method of residue check based on inputting fine setting of the present invention;
Fig. 3 is the process flow diagram based on the fault-tolerant low-pass filtering treatment method of residue check of inputting fine setting of a specific embodiment of the present invention.
Embodiment
The below describes embodiments of the invention in detail, and the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or the element with identical or similar functions from start to finish.Be exemplary below by the embodiment that is described with reference to the drawings, only be used for explaining the present invention, and can not be interpreted as limitation of the present invention.On the contrary, embodiments of the invention comprise spirit and interior all changes, modification and the equivalent of intension scope that falls into additional claims.
In description of the invention, it will be appreciated that, term " first ", " second " etc. only are used for describing purpose, and can not be interpreted as indication or hint relative importance.In description of the invention, need to prove, unless clear and definite regulation and restriction are separately arranged, term " is connected ", " connection " should do broad understanding, for example, can be to be fixedly connected with, and can be also to removably connect, or connects integratedly; Can be mechanical connection, can be also to be electrically connected to; Can be directly to be connected, also can indirectly be connected by intermediary.For the ordinary skill in the art, can concrete condition understand above-mentioned term concrete meaning in the present invention.In addition, in description of the invention, except as otherwise noted, the implication of " a plurality of " is two or more.
For making those skilled in the art understand better technical background of the present invention, first in conjunction with Fig. 1, existing Fault Tolerant Filtering disposal route based on residue check is set forth.
As shown in Figure 1, the low-pass filter branch road that identical input data is transferred to respectively the first branch road, the second branch road and processes based on remainder.Wherein, x is through low-pass filter 1 filtering processing in the first branch road, and the filtering result becomes y
1, subsequently to y
1Carry out the delivery complementation and obtain r in delivery submodule 1
1Similarly, x is through low-pass filter 2 filtering processing in the second branch road, and the filtering result becomes y
2, subsequently to y
2Carry out the delivery complementation and obtain r in delivery submodule 2
2In the 3rd branch road, at first the input data carry out the delivery processing through delivery submodule 3, and then the low-pass filter branch road by processing based on remainder, obtain r.At last to y
1, y
2, r
1, r
2Compare check with r, if y
1=y
2, illustrate that the first branch road is consistent with the result of the second branch road, select the output of arbitrary road to get final product, y=y
1=y
2If y
1≠ y
2, illustrate that the result of the first branch road and the second branch road is inconsistent, wherein there is a branch road to make mistakes, need to use the result of the 3rd branch road to compare processing, if r
1=r illustrates that the first branch road is correct, y=y
1Otherwise, if r
2=r illustrates that the second branch road is correct, y=y
2
Above-mentioned tradition is can be to primary particle inversion resistant based on the Fault Tolerant Filtering method of residue check as a rule, and still under a few cases, single-particle inversion might cause occurring y
1≠ y
2But r
1=r
2The situation of=r, " output congruence, source of trouble difficulty are distinguished " problem of namely mentioning in this paper background technology.
because theoretical analysis is found, the fault that is caused by filter coefficient generation single-particle inversion is undetected, and all to occur in input data delivery be moment of zero, core concept of the present invention is, be before zero input data are carried out the filtering processing in script delivery result, these input data are finely tuned add 1, making input data delivery result is no longer zero, be that zero input data are carried out before filtering processes to delivery result again, these input data are finely tuned subtract 1, making input data delivery result is no longer zero, can avoid the fault that causes due to filter factor generation single-particle inversion undetected, thereby improve the accuracy rate of processing of circuit structure.Be that zero input data are are alternately added and subtracted 1 operation to delivery, equivalent for to have added a high-frequency signal by a small margin at the low-pass filter input end on statistical significance, and its most of energy will be low pass filtering the device filtering.Therefore characteristics of the present invention are, utilize the filtering characteristic of low-pass filter self, when the fault of avoiding filter coefficient to cause by the input data modification is undetected, has farthest eliminated the input data and have changed exporting the impact of data.
Fig. 2 is the process flow diagram based on the residue check Fault Tolerant Filtering disposal route of inputting the data fine setting of the embodiment of the present invention.As described in Figure 2, method of the present invention comprises the following steps:
A: image data x is transferred to respectively the first branch road, the second branch road and remainder branch road.Wherein, the first branch road and the second branch road are two identical low-pass filter branch roads, and the remainder branch road is a low-pass filter branch road of processing based on remainder.Wherein, low-pass filter is Direct-type or transposition type FIR wave filter.
B: in the remainder branch road, x is carried out delivery process (x)
m, wherein modulus m is positive integer, the delivery result is x
m
In one embodiment of the invention, multiplication and additive operation in the filter filtering process in the remainder branch road are: p and q are two operands and for positive integer, multiplying is ((p)
m* (q)
m)
m, additive operation is ((p)
m+ (q)
m)
m
In one embodiment of the invention, modulus m is 3.Because eliminating on fault undetected basis, the mould value is set to minimum, as m=3, just can obtain minimum fault-tolerant expense.
C: as described x
mExecution in step C1 when odd number equals zero is as described x
mExecution in step C2 when even number equals zero is as described x
mExecution in step C3 when being not equal to zero.
C1: the input data of the first branch road and the second branch road are added 1, and the delivery result of remainder branch road is added 1, the first branch road, the second branch road and remainder branch road carry out the general Fault Tolerant Filtering processing based on residue check to the new input data that fine setting adds after 1 subsequently.
Need to prove, in this case, " the delivery result of remainder branch road is added 1 " is equal to " the input data of remainder branch road are added 1 ", also is equal to " the delivery result of remainder branch road is equaled 1 ".And the concrete form that the Fault Tolerant Filtering based on residue check that carries out after the fine setting of input data is processed does not limit, and can carry out with reference to the latter half in Fig. 1.
C2: with the input data minus 1 of the first branch road and the second branch road, and the delivery result of remainder branch road is subtracted 1, the first branch road, the second branch road and remainder branch road carry out the general Fault Tolerant Filtering processing based on residue check to the new input data that fine setting subtracts after 1 subsequently.
Need to prove, in this case, " the delivery result of remainder branch road is subtracted 1 " is equal to " with the input data minus 1 of remainder branch road ", also is equal to " the delivery result of remainder branch road is equaled m-1 ".And the concrete form that the Fault Tolerant Filtering based on residue check that carries out after the fine setting of input data is processed does not limit, and can carry out with reference to the latter half in Fig. 1.
C3: directly the input data of the first branch road, the second branch road and remainder branch road are carried out the general Fault Tolerant Filtering based on residue check and process.
Similarly, the concrete form that the Fault Tolerant Filtering based on residue check is herein processed does not limit, and can carry out with reference to the latter half in Fig. 1.
For making those skilled in the art understand better the present invention, now be described in detail in conjunction with Fig. 3.
Fig. 3 is the process flow diagram based on the residue check Fault Tolerant Filtering disposal route of inputting fine setting of a specific embodiment of the present invention.In this embodiment, as modulus m=3, when wave filter was 16 rank FIR low-pass filter, filter coefficient was h
l, l=0,2 .., 15.Suppose input traffic x[n]={ 1,4,9,10,15,3,7,8,6 ..., wherein n be positive integer (n=0,1 ..., ∞), each data sequence number in the expression data stream, at least one data in this data stream will be processed one by one successively.
Step S301: this data stream is flowed to two 16 identical rank FIR low-pass filters and 16 rank FIR low-pass filters of processing based on mould 3, when wherein inputting first data, i=0.
Step S302: in the low-pass filter branch road of processing based on remainder, input data x[n] first process through delivery and obtain x[n]
3={ 1,1,0,1,0,0,1,2,0 ....
Particularly: x[0]=1 is carried out delivery to it and is processed, and modulus m is 3, x[0] }
3=1.In like manner, x[1]=4, x[1] }
3=1; X[2]=9, x[2] }
3=0; X[3]=10, x[3] }
3=1; X[4]=15, x[4] }
3=0; X[5]=3, x[5] }
3=0; X[6]=7, x[6] }
3=1; X[7]=8, x[7] }
3=2; X[8]=6, x[8] }
3=0; Namely input data x[n] in each data process one by one and obtain { x[n] } through delivery
3={ 1,1,0,1,0,0,1,2,0 ... (n=0,1 ..., ∞).
Be not equal to delivery zero the direct execution in step S306 of input data this moment, carries out the general Fault Tolerant Filtering based on residue check and process; The null input data of delivery execution in step S303, carry out the fault-tolerant low-pass filtering treatment of residue check based on the input fine setting according to the embodiment of the present invention, at this moment, enter input data of step S303 at every turn, the numerical value of i adds 1 automatically.
Step S303: be zero if present input data is odd number time delivery, execution in step S304, otherwise execution in step S305 is zero if namely input the data delivery this moment, the i value is odd number, execution in step S304; If input the data delivery this moment is zero, the i value is even number, execution in step S305.
Step S304(comprises S304a, S304b, S304c): work as x
m=0 o'clock, for example at first x[2] }
3=0, the input data with the two-way low-pass filter add 1, i.e. x[2]=10, simultaneously, the x that the residue check branch road is drawn
mAdd 1 operation, namely x[2] }
3=1.
Step S305(comprises S305a, S305b, S305c): because x[4] }
3=0, with the input data minus 1 of two-way low-pass filter, i.e. original x[4]=15, subtract x[4 after 1 operation]=14, simultaneously, the x that the residue check branch road is drawn
m Subtract 1 operation, namely x[4] }
3=2.
Due to x[5] }
3=0 and { x[8] }
3=0, according to the operation of step S304 and step S305, respectively it is added 1 and subtract 1 operation, make x[5] become 4, x[8 from 3] become 5 from 6.Correspondingly, x[5] }
3=1, { [8] }
3=2.
At this moment, x[n]={ 1,4,10,10,14,4,7,8,5 ... (n=0,1 ..., ∞), x[n] }
3={ 1,1,1,1,2,1,1,2,2 ... (n=0,1 ..., ∞).
Step S306(comprises S306a, S306b, S306c) be that three branch roads carry out low-pass filtering treatment to input data wherein, the primary data that this input data part is non-vanishing for former delivery result, need not to finely tune, another part are that former delivery result is zero, adds and subtracts data after 1 fine setting.
Step S307 carries out the verification selection of fault-tolerant processing and output final data to the filtering result of three branch roads.
The applicant carries out method of the present invention emulation testing on Virtex-4FPGA, test result is as follows: be 8 bits for input sampling data, filter factor is also 16 rank FIR low-pass filters of 8 bits, when modulus is 3, input sampling data and the filter factor processed due to the 3rd branch filter are 2 bits, the 3rd branch road is processed resource consumption and is greatly reduced, make and to save about 28% FPGA resource based on the fault-tolerant signal processing technology of residue check with respect to the triplication redundancy technology, the expense of having approached bimodulus.If use tradition based on the scheme of residue check, in case filter factor generation single-particle inversion has 33% probability fault can't be detected.And if the input data of using the present invention's proposition are finely tuned technology, can make the fault loss is 0.The cost of paying is to have introduced micro-noise.By theoretical analysis and simulation results show, when the low pass bandwidth was pi/2,95% of input data change amount gross energy all had been low pass filtering the device filtering, only has 5% to stay in band.This shows, by adding 1 and subtract 1 blocked operation, most energy of input data change amount have been concentrated to high-frequency region, thereby have been low pass filtering the filtering of device nature.
Above-described embodiment just is used for illustrating the wave filter Method of fault-tolerant design based on the fine setting of input data of the present invention; concrete data wherein just arbitrarily arrange in order to illustrate; can not be in order to limit protection scope of the present invention; namely as long as implement by the described step of this claim, wherein any variation of data all should belong to protection category of the present invention.
In sum, the method according to this invention is inputted the data fine setting, can avoid by the undetected problem of the caused fault of filter coefficient generation single-particle inversion, and make the variation of input data drop to minimum to the impact of exporting data, have simple to operate, the high advantage of accuracy rate as a result.
Describe and to be understood in process flow diagram or in this any process of otherwise describing or method, expression comprises module, fragment or the part of code of the executable instruction of the step that one or more is used to realize specific logical function or process, and the scope of the preferred embodiment of the present invention comprises other realization, wherein can be not according to order shown or that discuss, comprise according to related function by the mode of basic while or by opposite order, carry out function, this should be understood by the embodiments of the invention person of ordinary skill in the field.
In process flow diagram the expression or in this logic of otherwise describing and/or step, for example, can be considered to the sequencing list be used to the executable instruction that realizes logic function, may be embodied in any computer-readable medium, use for instruction execution system, device or equipment (as the computer based system, comprise that the system of processor or other can and carry out the system of instruction from instruction execution system, device or equipment instruction fetch), or use in conjunction with these instruction execution systems, device or equipment.With regard to this instructions, " computer-readable medium " can be anyly can comprise, storage, communication, propagation or transmission procedure be for instruction execution system, device or equipment or the device that uses in conjunction with these instruction execution systems, device or equipment.The example more specifically of computer-readable medium (non-exhaustive list) comprises following: the electrical connection section (electronic installation) with one or more wirings, portable computer diskette box (magnetic device), random-access memory (ram), ROM (read-only memory) (ROM), the erasable ROM (read-only memory) (EPROM or flash memory) of editing, fiber device, and portable optic disk ROM (read-only memory) (CDROM).In addition, computer-readable medium can be even paper or other the suitable medium that can print described program thereon, because can be for example by paper or other media be carried out optical scanning, then edit, decipher or process in the electronics mode with other suitable methods in case of necessity and obtain described program, then it is stored in computer memory.
Should be appreciated that each several part of the present invention can realize with hardware, software, firmware or their combination.In the above-described embodiment, a plurality of steps or method can realize with being stored in storer and by software or firmware that suitable instruction execution system is carried out.For example, if realize with hardware, the same in another embodiment, can realize with any one in following technology well known in the art or their combination: have for data-signal being realized the discrete logic of the logic gates of logic function, special IC with suitable combinational logic gate circuit, programmable gate array (PGA), field programmable gate array (FPGA) etc.
Those skilled in the art are appreciated that and realize that all or part of step that above-described embodiment method is carried is to come the relevant hardware of instruction to complete by program, described program can be stored in a kind of computer-readable recording medium, this program comprises step of embodiment of the method one or a combination set of when carrying out.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing module, can be also that the independent physics of unit exists, and also can be integrated in a module two or more unit.Above-mentioned integrated module both can adopt the form of hardware to realize, also can adopt the form of software function module to realize.If described integrated module realizes with the form of software function module and during as independently production marketing or use, also can be stored in a computer read/write memory medium.
The above-mentioned storage medium of mentioning can be ROM (read-only memory), disk or CD etc.
In the description of this instructions, the description of reference term " embodiment ", " some embodiment ", " example ", " concrete example " or " some examples " etc. means to be contained at least one embodiment of the present invention or example in conjunction with specific features, structure, material or the characteristics of this embodiment or example description.In this manual, the schematic statement of above-mentioned term not necessarily referred to identical embodiment or example.And the specific features of description, structure, material or characteristics can be with suitable mode combinations in any one or more embodiment or example.
Although illustrated and described embodiments of the invention, those having ordinary skill in the art will appreciate that: in the situation that do not break away from principle of the present invention and aim can be carried out multiple variation, modification, replacement and modification to these embodiment, scope of the present invention is limited by claim and equivalent thereof.
Claims (4)
1. the fault-tolerant low-pass filtering treatment method of residue check based on the input fine setting, is characterized in that, comprises the following steps:
A: image data x is transferred to respectively the first branch road, the second branch road and remainder branch road, and wherein, described the first branch road and the second branch road are two identical low-pass filter branch roads, and described remainder branch road is a low-pass filter branch road of processing based on remainder;
B: in described remainder branch road, described x is carried out delivery process (x)
m, wherein modulus m is positive integer, the delivery result is x
m
C: as described x
mExecution in step C1 when odd number equals zero is as described x
mExecution in step C2 when even number equals zero is as described x
mExecution in step C3 when being not equal to zero;
C1: the input data of described the first branch road and the second branch road are added 1, and the delivery result of described remainder branch road is added 1, described the first branch road, the second branch road and remainder branch road carry out the general Fault Tolerant Filtering processing based on residue check to the new input data that fine setting adds after 1 subsequently;
C2: with the input data minus 1 of described the first branch road and the second branch road, and the delivery result of described remainder branch road is subtracted 1, described the first branch road, the second branch road and remainder branch road carry out the general Fault Tolerant Filtering processing based on residue check to the new input data that fine setting subtracts after 1 subsequently.
C3: directly the input data of described the first branch road, the second branch road and remainder branch road are carried out the general Fault Tolerant Filtering based on residue check and process.
2. method according to claim 1, is characterized in that, described low-pass filter is Direct-type or transposition type FIR wave filter.
3. method according to claim 1, is characterized in that, multiplication and additive operation in the filter filtering process in described remainder branch road are: p and q are two operands and for positive integer, multiplying is ((p)
m* (q)
m)
m, additive operation is ((p)
m+ (q)
m)
m
4. method according to claim 1, is characterized in that, described modulus m is preferably 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310042828.9A CN103092731B (en) | 2013-02-01 | 2013-02-01 | Fine-adjustment remainder validation fault-tolerant low-pass filtering processing method based on input |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310042828.9A CN103092731B (en) | 2013-02-01 | 2013-02-01 | Fine-adjustment remainder validation fault-tolerant low-pass filtering processing method based on input |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103092731A true CN103092731A (en) | 2013-05-08 |
| CN103092731B CN103092731B (en) | 2015-06-24 |
Family
ID=48205335
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310042828.9A Expired - Fee Related CN103092731B (en) | 2013-02-01 | 2013-02-01 | Fine-adjustment remainder validation fault-tolerant low-pass filtering processing method based on input |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103092731B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105656450A (en) * | 2015-12-31 | 2016-06-08 | 北京合康亿盛变频科技股份有限公司 | Digital lowpass filtering method and apparatus for integer arithmetic |
| CN108549589A (en) * | 2018-03-21 | 2018-09-18 | 中山大学花都产业科技研究院 | A kind of model taking method of low overhead |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6362676B1 (en) * | 1999-04-30 | 2002-03-26 | Bae Systems Information And Electronic Systems Integration, Inc. | Method and apparatus for a single event upset (SEU) tolerant clock splitter |
| CN101572547A (en) * | 2009-06-09 | 2009-11-04 | 中国人民解放军国防科学技术大学 | Phase-locked loop for reinforcing single-event transients (SET) |
| CN102567130A (en) * | 2012-01-06 | 2012-07-11 | 清华大学 | Multi-sampling judgment method for fault-tolerant filtering based on remainder check |
-
2013
- 2013-02-01 CN CN201310042828.9A patent/CN103092731B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6362676B1 (en) * | 1999-04-30 | 2002-03-26 | Bae Systems Information And Electronic Systems Integration, Inc. | Method and apparatus for a single event upset (SEU) tolerant clock splitter |
| CN101572547A (en) * | 2009-06-09 | 2009-11-04 | 中国人民解放军国防科学技术大学 | Phase-locked loop for reinforcing single-event transients (SET) |
| CN102567130A (en) * | 2012-01-06 | 2012-07-11 | 清华大学 | Multi-sampling judgment method for fault-tolerant filtering based on remainder check |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105656450A (en) * | 2015-12-31 | 2016-06-08 | 北京合康亿盛变频科技股份有限公司 | Digital lowpass filtering method and apparatus for integer arithmetic |
| CN105656450B (en) * | 2015-12-31 | 2018-12-21 | 北京合康亿盛变频科技股份有限公司 | The digital low-pass filtering method and device of integer arithmetic |
| CN108549589A (en) * | 2018-03-21 | 2018-09-18 | 中山大学花都产业科技研究院 | A kind of model taking method of low overhead |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103092731B (en) | 2015-06-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9562945B2 (en) | Modifying a scan chain for improved fault diagnosis of integrated circuits | |
| CN102879731B (en) | A kind of method of testing of digital integrated circuit | |
| US10768227B2 (en) | Systems and methods for analyzing failure rates due to soft/hard errors in the design of a digital electronic device | |
| CN103092731A (en) | Fine-adjustment remainder validation fault-tolerant low-pass filtering processing method based on input | |
| US20060101363A1 (en) | Method of associating timing violations with critical structures in an integrated circuit design | |
| CN103092729A (en) | Fine-adjustment remainder validation fault-tolerant high-pass/band-pass filtering processing method based on input | |
| US20170294900A1 (en) | Method for the automated manufacture of an electronic circuit suitable for detecting or masking faults by temporal redundancy, and associated computer program and electronic circuit | |
| Vitaliy et al. | Parameterized IP Infrastructures for fault-tolerant FPGA-based systems: Development, assessment, case-study | |
| CN102567130B (en) | Multi-sampling judgment method for fault-tolerant filtering based on remainder check | |
| US9791507B2 (en) | Customer-transparent logic redundancy for improved yield | |
| CN104515945A (en) | Hidden fault detection circuit and method for detecting hidden fault by using same | |
| CN113868046B (en) | Function verification method and system for PAD control unit | |
| CN110763984B (en) | Method, device and equipment for determining failure rate of logic circuit and storage medium | |
| Hossain et al. | An equivalence verification methodology for asynchronous sleep convention logic circuits | |
| CN103984614A (en) | Monitoring method, monitoring device and electronic device | |
| Brandhofer et al. | Synthesis of fault-tolerant reconfigurable scan networks | |
| CN211352196U (en) | Fault simulation device of optical router | |
| US10769333B1 (en) | System, method, and computer program product for debugging one or more observable failures in a formal verification | |
| Niknahad et al. | QFDR-an integration of Quadded Logic for modern FPGAs to tolerate high radiation effect rates | |
| CN112803428A (en) | Receiving-end main network frame dynamic reactive power supply configuration node selection method and terminal | |
| JP4899927B2 (en) | Test pattern automatic generation method and test pattern automatic generation program | |
| JP2016213637A (en) | Error verification method of programmable logic device, and circuit formation method of programmable logic device | |
| CN111147131A (en) | Fault simulation device of optical router | |
| Chen et al. | Physical-aware diagnosis of multiple interconnect defects | |
| CN103399982A (en) | Digital hardware circuit logical error diagnosis mechanism |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150624 Termination date: 20180201 |