CN113570496B - Waveform data cache back display method - Google Patents
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Abstract
The invention belongs to the technical field of waveform data processing, in particular to a waveform data cache back display method, which comprises the following steps: the display terminal is used for displaying the waveform two-dimensional image; the data acquisition unit is used for picking up any two-dimensional parameters X i and Y i in the waveform; a processor for processing and calculating waveform data; the database is used for storing or temporarily storing the waveform data processed by the processor; waveform function data, data X i and Y i processed by the processor; a three-dimensional scale unit for three-dimensionally marking the data X i and Y i; and the data processing unit is used for processing the data marked by the three-dimensional scale unit to obtain new data X i and Y i. According to the waveform data cache back display method, three-dimensional scale units are arranged, waveform data are subjected to three-dimensional marking in a three-dimensional coordinate system, the storage category of the data is increased, and the data are subjected to linear associated classification calculation in a database in advance.
Description
Technical Field
The invention relates to the technical field of waveform data processing, in particular to a waveform data cache back display method.
Background
Waveform data refers to a linear image of successive points linked together in a two-dimensional coordinate system using a coordinate system corresponding to the function y=f (x).
In the existing graph displayed by the waveform data in the two-dimensional coordinate system, some data needs to be changed sometimes so as to count or predict the trend of the changed data, and when one or two data values are changed, the whole waveform image is easily subjected to great change, at this time, the computer is required to make a great amount of calculation to return to the previous waveform graph because the data before changing the parameters are difficult to remember or know. However, in the field of computers, all data are binary, i.e. 0 or 1, if a computer needs to quickly return to a state before modification through a large amount of instantaneous computation, a great improvement on the configuration of the computer is needed to achieve the effect of high-speed return, and when the computer performs the instantaneous computation, the occupied instantaneous memory of the computer and the display memory of the computer have not small requirements, which may cause the computer to crash.
Disclosure of Invention
Based on the technical problem that the existing waveform data cache back display needs to occupy a large amount of computer memory to easily cause the dead halt, the invention provides a waveform data cache back display method.
The invention provides a waveform data cache back display method, which comprises the following steps:
the display terminal is used for displaying the waveform two-dimensional image;
the data acquisition unit is used for picking up any two-dimensional parameters X i and Y i in the waveform;
a processor for processing and calculating waveform data;
The database is used for storing or temporarily storing the waveform data processed by the processor;
waveform function data, data X i and Y i processed by the processor;
A three-dimensional scale unit for three-dimensionally marking the data X i and Y i;
The data processing unit is used for processing the data marked by the three-dimensional scale unit to obtain new data X i and Y i;
New data X i and Y i are buffered by the data buffer unit and then displayed on the display terminal after being re-mapped to the two-dimensional parameters.
Preferably, the database contains a set of waveform functions for calculating the waveform two-dimensional image, and the set of waveform functions is composed of waveform functions y=f (x) 1,y＝f(x)2...y＝f(x)n, and each waveform function corresponds to one waveform two-dimensional image one by one.
Through the technical scheme, the function formulas forming the waveform graph are integrated into the database, so that timely and accurate calling is facilitated.
Preferably, the three-dimensional scale unit includes a local linear embedding unit for three-dimensionally marking the data X i and Y i for embedding the data X i and Y i into a low-dimensional space, and finally marking the data X i and Y i in three-dimensional coordinate systems, respectively, such that the features of each data are marked out by three coordinate system axis representations after being split.
By the technical scheme, a small local small block of the data set is stuck together to form a data chain.
Preferably, the local linear embedding unit includes finding neighboring points of neighboring data points of each of the data X i and Y i, and constructing a corresponding data set of the data X i and Y i in each three-dimensional coordinate system, finding neighboring points of the data X i and Y i, and providing the first k neighboring points respectively:
calculating the distance between each pair of points for k near points;
Finding the first k small distances;
For points other than the first k near points, let w ij =0;
For each point x i: the first is to create a table of locations z i of adjacent points for each point, and calculate z i＝zi-xi.
Through the technical scheme, the positions of the adjacent data points are found out, and the position table z i is arranged.
Preferably, the calculation equation is based on constraint conditionsMinimum weight matrix W:
Calculating a local covariance c=zz T, where Z is a matrix of Z i;
calculating W using cw=i, where I is n×n identity matrix;
let W ij =0 for non-adjacent points;
For a pair of Other elements are set.
Through the technical scheme, errors of the data in the three-dimensional coordinate system space are reduced, and errors are rebuilt.
Preferably, the calculation is such that the equationMinimum low-dimensional vector:
creating m= (I-W) T (I-W);
Calculating the characteristic value and the characteristic vector of M;
Sorting the feature vectors according to the magnitude of the feature values;
the q-th line of the vector y is set as the q+th eigenvector corresponding to the q-th small eigenvalue, and the first eigenvector whose eigenvalue is ignored.
Through the technical scheme, dimension reduction is realized on the recombined data in the database, and the recombined or arranged combination of a three-dimensional system is realized on a plurality of data, namely, one data set is rearranged in a three-dimensional coordinate system to form a plurality of new data sets according to requirements.
Preferably, the data processing unit processes the data marked by the data X i and the data Y i in the respective three-dimensional coordinate system, collectively puts forward the data adjacent to the data X i and the data Y i before and after the data X i and the data Y i to form new data, and then the data set formed by the gathering points of the new data X i and the new data Y i is the waveform line in the two-dimensional waveform image, and the data processing unit is composed of a data conversion unit, a data decoding unit and a data encoding unit.
Through the technical scheme, the data adjacent to the front and rear data of the data X i and the data adjacent to the data of the data Y i are collectively put forward to form a new data chain of X i and Y i.
Preferably, the data conversion unit is configured to convert the data X i and Y i of the waveforms corresponding to the marked three-dimensional scale unit, where the data conversion unit uses binary system to convert the data X i and Y i into binary data;
The data decoding unit decodes the data X i and Y i converted by the data conversion unit;
And the data encoding unit is used for re-encoding the data decoded by the data decoding unit to obtain new encoded data X i and Y i.
Through the technical scheme, the effects of careful binary conversion, decoding and recoding can be carried out on the data.
Preferably, the two-dimensional waveform image formed by the gathering points of the new data X i and Y i is buffered by the data buffering unit and then displayed on the corresponding waveform line on the display terminal.
By the technical scheme, the data associated with the new data X i and the data associated with the new data Y i are temporarily collected together, and high-speed extraction of a processor is facilitated.
Preferably, the data caching unit is arranged in the database, and provides data storage required by caching for the data caching unit.
Through the technical scheme, the memory of the database is increased to be replaced by the calculation memory of the processor, so that the requirement on the processor is reduced.
The beneficial effects of the invention are as follows:
By setting a three-dimensional scale unit, three-dimensional marking is carried out on waveform data in a three-dimensional coordinate system, the storage category of the data is increased, so that linear associated classified calculation is carried out on the data in a database in advance, when back display is needed, a computer can instantly call out the waveform data which are associated before and after the data are pre-stored in the memory of the database through a calculation memory, namely, one waveform data group can be calculated and pulled out, the related linear data can be taken out together, and the storage memory of the database is used for replacing the calculation memory of the computer. The method is characterized in that the related pearls are strung by using a rope in the box in advance in a classification mode, when the pearls need to be taken, one end of the rope can be taken out, namely, the pearls related to the rope can be taken out together, namely, the data in the database are classified in advance according to a certain linear relation and stored in the database, and when the cache is needed to be displayed back, the computer's calculation memory only needs to extract one group of data to take out the whole data chain together.
Drawings
FIG. 1 is a schematic block diagram of a method for cache back display of waveform data according to the present invention;
Fig. 2 is a block diagram of a waveform function set of a method for cache echo of waveform data according to the present invention.
In the figure: 1. a display terminal; 2. a data acquisition unit; 3. a processor; 4. a database; 41. a data caching unit; 42. a set of waveform functions; 5. waveform function data; 6. a three-dimensional scale unit; 7. a data processing unit; 71. a data conversion unit; 72. a data decoding unit; 73. and a data encoding unit.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
Referring to fig. 1-2, a method of waveform data cache back-rendering, comprising:
a display terminal 1 for displaying a waveform two-dimensional image;
The data acquisition unit 2 is used for picking up any two-dimensional parameters X i and Y i in the waveform;
a processor 3 for processing and calculating waveform data;
A database 4 for storing or temporarily storing the waveform data processed by the processor 3;
Further, the database 4 contains a set of waveform functions 42 for calculating a two-dimensional image of a waveform, and the set of waveform functions 42 is composed of waveform functions y=f (x) 1,y＝f(x)2...y＝f(x)n, each of which corresponds to one of the two-dimensional images of a waveform one by one.
The function formulas forming the waveform patterns are integrated into the database 4, so that timely and accurate calling is facilitated.
Waveform function data 5, data X i and Y i processed by processor 3;
a three-dimensional scale unit 6 for three-dimensionally marking the data X i and Y i;
Further, the three-dimensional scale unit 6 includes a local linear embedding unit for three-dimensionally marking the data X i and Y i for embedding the data X i and Y i into a low-dimensional space, and finally the data X i and Y i are respectively marked in a three-dimensional coordinate system, so that the features of each data are marked by three coordinate system axis representations after being split. A small local patch of the dataset is glued together to form the data chain.
Further, the local linear embedding unit is applied to a place where nonlinear data are processed, so that the area is reduced in a specified range, and errors are reduced as far as possible, and reconstruction errors are realized, wherein the reconstruction errors comprise finding adjacent points of adjacent data points of each data X i and Y i, forming corresponding data sets of data X i and Y i in each three-dimensional coordinate system, finding adjacent points of data X i and Y i, and respectively providing the first k adjacent points:
-calculating the distance between each pair of points for k near points;
finding the first k small distances;
-for points other than the first k near points, such that w ij = 0;
-for each point x i: the first is to create a table z i of locations of neighboring points for each point, and the second is to calculate z i＝zi-xi.
The location of the adjacent data point is found according to the above procedure, and the calculation z i＝zi-xi is performed after the location table z i is listed.
Further, the local linear embedding unit further includes a sum of squares of distances between the original point and the present data reconstruction point, and calculates an equation based on the constraint conditionThe last minimum weight matrix W:
Calculating a local covariance c=zz T, where Z is a matrix of Z i;
calculating W using cw=i, where I is n×n identity matrix;
let W ij =0 for non-adjacent points;
For a pair of Other elements are set.
So that errors of the data in the three-dimensional coordinate system space are reduced and errors are reconstructed.
The weight W ij illustrates the effect of the jth data point on the ith reconstruction, determines which point is useful for the reconstructed data, and if other points are far apart, it may not be useful, only points that are close to the current data point are useful, and at this time, there are two common methods of generating adjacent points: firstly, a point with a distance smaller than a preset defined distance d from a current point is a neighboring point; and secondly, the first k near points are adjacent points.
Solving the problem that the weight W ij is a least squares method can be simplified by enforcing a constraint that for any point x i, if x i is far from the current point, then W ij =0 andThis produces a reconstructed data but without dimensions, and therefore, a basic cost function is applied to determine the position of the y i point in the L-dimension in low-dimensional space such that the equation/>, is reachedMinimum low-dimensional vector:
-creating m= (I-W) T (I-W);
-computing a eigenvalue and eigenvector of M;
-ordering the feature vectors according to the magnitude of the feature values;
-setting the q-th row of the vector y as the q+1th eigenvector corresponding to the q-th small eigenvalue, ignoring the first eigenvector with eigenvalue 0.
The dimension reduction is realized on the reorganized data in the database 4, and the reorganization or permutation and combination of a three-dimensional system are realized on a plurality of data, namely, one data set is formed into a plurality of new data sets in a mode of permutation and combination in a three-dimensional coordinate system according to requirements.
The data processing unit 7 is used for processing the data marked by the three-dimensional scale unit 6 to obtain new data X i and Y i;
Further, the data processing unit 7 processes the data marked by the data X i and the data Y i in the respective three-dimensional coordinate system, collectively puts forward the data adjacent to the data X i and the data Y i before and after the data X i and the data Y i to form new data X i and new data Y i, and then the data set formed by the gathering points of the new data X i and the new data Y i is the waveform line in the two-dimensional waveform image, and the data processing unit 7 is composed of the data converting unit 71, the data decoding unit 72 and the data encoding unit 73. Data adjacent to the data X i and the data adjacent to the data Y i are collectively put forward to form a new data chain of X i and Y i.
Further, the data conversion unit 71 is configured to convert the data X i and Y i of the waveforms corresponding to the marked three-dimensional scale unit 6, where the data conversion unit 71 uses binary system to convert the data X i and Y i into binary data;
A data decoding unit 72 that decodes the data X i and Y i converted by the data conversion unit 71;
A data encoding unit 73 re-encodes the data decoded by the data decoding unit 72 to obtain new encoded data X i and Y i; the effect of finer binary transformations, decoding and re-encoding of the data can be done.
The new data X i and Y i are buffered by the data buffer unit 41 and then are mapped to two-dimensional parameters, and then displayed on the display terminal 1.
Further, the two-dimensional waveform image formed by the gathering points of the new data X i and Y i is buffered by the data buffer unit 41 and then displayed on the corresponding waveform line on the display terminal 1; such that the new data X i and the data associated with Y i are temporarily brought together to facilitate high-speed extraction by the processor 3.
Further, a data caching unit 41 is provided in the database 4, for which data storage required for caching is provided. Increasing the memory of the database 4 in exchange for the computational memory of the processor 3 reduces the requirements on the processor 3.
The invention carries out three-dimensional marking on the waveform data in a three-dimensional coordinate system, increases the storage category of the data, makes the data carry out linear associated classified calculation in the database 4 in advance, and when the back display is needed, the computer can instantly call out the waveform data which are associated before and after the pre-stored in the database 4 through the calculation memory, namely, the calculation can lead out a waveform data group, and can bring out the related linear data together, so as to replace the calculation memory of the computer by the storage memory of the database 4. The existing calculation mode is better than a plurality of pearls in the same box, the computer calculates and caches and displays the pearls like a human hand, the number of the pearls in each time is determined by the size of a palm, namely, the computer calculates the memory, and the three-dimensional scale method is designed, namely, a classification mode is adopted in the box in advance, the associated pearls are strung by using one rope, when the pearls need to be taken, the pearls associated with the rope can be taken together only by taking one end of the rope, namely, the data in the database 4 are classified in advance according to a certain linear relation and stored in the database 4, and when the cache and display are needed, the computer can take the whole data chain together only by extracting one group of data, so that the cache and display effect is realized by changing the instantaneous calculation memory of the processor 3.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (5)
1. A method for waveform data cache back-rendering, characterized by: comprising the following steps:
A display terminal (1) for displaying a waveform two-dimensional image;
a data acquisition unit (2) for picking up any two-dimensional parameter in the waveform And/>；
A processor (3) for processing and calculating waveform data;
A database (4) for storing or temporarily storing the waveform data processed by the processor (3);
waveform function data (5), the data processed by the processor (3) And/>；
A three-dimensional scale unit (6) for converting said dataAnd/>Performing three-dimensional marking;
the three-dimensional scale unit (6) comprises data And/>Three-dimensional labeling for data/>And/>Local linear embedding unit embedded in low-dimensional space and finally data/>And/>Respectively marking in a three-dimensional coordinate system, so that the characteristic of each data is marked by three coordinate system shaft representations after being split;
the locally linear embedding unit includes finding out each data And/>Adjacent points to adjacent data points of (a) and constitute data/>And/>Finding out data/>, corresponding data sets in each three-dimensional coordinate systemAnd/>And each provided with the first k near points:
calculating the distance between each pair of points for k near points;
Finding the first k small distances;
for points other than the first k near points, so that =0；
For each point: First, create a location table/>, for each point, of the neighboring pointsCalculation/>=/>-/>；
A data processing unit (7) for processing the data marked by the three-dimensional scale unit (6) to obtain new dataAnd；
The data processing units (7) respectively store dataAnd/>Processing the data marked in the respective three-dimensional coordinate system, and converting the data/>And/>The data adjacent to each other in front and back together collectively propose to form a new/>And/>New data/>And/>The data set formed by the gathering points is a waveform line in the two-dimensional waveform image, and the data processing unit (7) consists of a data conversion unit (71), a data decoding unit (72) and a data encoding unit (73);
The data conversion unit (71) is used for converting the data of the waveform corresponding to the marked three-dimensional scale unit (6) And/>The data conversion unit (71) uses binary system to convert data/>And/>Converting into binary data;
The data decoding unit (72) converts the data converted by the data conversion unit (71) And/>Decoding is carried out;
The data encoding unit (73) re-encodes the data decoded by the data decoding unit (72) to obtain new encoded data And/>；
New data is to be sentAnd/>The two-dimensional waveform image formed by the gathering points is cached by a data caching unit (41) and then displayed on a corresponding waveform line on the display terminal (1);
new data And/>And after being cached by a data caching unit (41), the two-dimensional parameters are further corresponding to the two-dimensional parameters and then displayed on the display terminal (1).
2. The method of claim 1, wherein: the database (4) contains a waveform function set (42) for calculating a waveform two-dimensional image, and the waveform function set (42) is formed by waveform functions，/>.../>Each waveform function corresponds to one waveform two-dimensional image one by one.
3. The method of claim 1, wherein: calculating equations from constraintsMinimum weight matrix W:
Computing local covariance Wherein Z is/>A matrix of components;
By means of Calculating W, wherein I is N x N identity matrix;
For non-adjacent points, let =0；
For a pair ofOther elements are set.
4. A method of waveform data cache back-rendering as defined in claim 3, wherein: calculation results in equationMinimum low-dimensional vector:
Creation of ；
Calculating the characteristic value and the characteristic vector of M;
Sorting the feature vectors according to the magnitude of the feature values;
Setting the q-th row of the vector y as the q+1th eigenvector corresponding to the q-th small eigenvalue, and ignoring the first eigenvector with the eigenvalue of 0;
Where L is the low dimensional spatial dimension.
5. The method of claim 1, wherein: the data caching unit (41) is arranged in the database (4) and is used for providing data storage required by caching.
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| "Optimal design of quarter-wave plate with wideband and wide viewing angle for three-dimensional liquid crystal display";Wan Seok Kang等;《Journal of Applied Physics》;第111卷(第10期);103119 * |
| "基于F2812平台采集存储与回显系统";李军科 等;《仪表技术与传感器》(第9期);62-65 * |
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