CN110334316A - A kind of multichannel data piecemeal floating-point quantification treatment device prototype - Google Patents
A kind of multichannel data piecemeal floating-point quantification treatment device prototype Download PDFInfo
- Publication number
- CN110334316A CN110334316A CN201910603213.6A CN201910603213A CN110334316A CN 110334316 A CN110334316 A CN 110334316A CN 201910603213 A CN201910603213 A CN 201910603213A CN 110334316 A CN110334316 A CN 110334316A
- Authority
- CN
- China
- Prior art keywords
- data
- floating
- quantification treatment
- piecemeal
- treatment device
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
- G06F17/141—Discrete Fourier transforms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
- G06F17/148—Wavelet transforms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
Abstract
The invention discloses a kind of multichannel data piecemeal floating-point quantification treatment device frameworks, it is characterized in that: data are subjected to Screening Treatment, three way collection arrays of creation structural data, semi-structured data and unstructured data；Sampling of data and classification and mapping processing are carried out to each subset；Using Higher-order Singular value decomposition, three way collection arrays are decomposed into the matrix pattern of second-order tensor；Matrix pattern is transformed into sparse domain again, carries out piecemeal floating-point quantification treatment.And then construct multichannel data piecemeal floating-point quantification treatment device prototype.
Description
Technical field
The present invention relates to chip design field, in particular to a kind of multichannel data piecemeal floating-point quantification treatment device prototype.
Background technique
The maximum innovation of industry 4.0 is, introduces new technology-information physical emerging system (CPS), it can be significantly
Promote the personalization level and economic indicator of large-scale customization.CPS is entire industrial 4.0 most important theoretical basis, can be by
It applies in other many scenes.
Enter industry internet field in cloud computing, with the continuous evolution of 5G technology, increasingly shows in application scenarios
Missing；Although proposing cloud, edge calculations and AI application, the processing of affairs and the transmitting of message, lack in wide scope
Interior information operation.
CPS design is limited to limited equipment computing capability, huge connection quantity, unique data characteristics, Er Qieshang
Often there is the dependence of technology in the linking of lower link.This needs related in the broader visual field, including information physical emerging system
Application, operating system and chip, carry out full stack exploitation.
Therefore, how Information physics emerging system environment, a kind of multichannel data piecemeal floating-point quantification treatment device is provided
Prototype is those skilled in the art's technical problem urgently to be resolved.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of multichannel data piecemeal floating-point quantification treatment device prototype, with suitable
Information physics emerging system environment is closed, the closed loop of all things on earth interconnection bottom, operating system and intelligent use is formed.On realizing
It is as follows to state purpose its concrete scheme:
The invention discloses a kind of multichannel data piecemeal floating-point quantification treatment device frameworks, it is characterized in that:
Data are subjected to Screening Treatment, three ways of creation structural data, semi-structured data and unstructured data
Collect array；
Sampling of data and classification and mapping processing are carried out to each subset；
Using Higher-order Singular value decomposition, three way collection arrays are decomposed into the matrix pattern of second-order tensor；
Matrix pattern is transformed into sparse domain again, carries out piecemeal floating-point quantification treatment；
By register, control unit and bus, multichannel data piecemeal floating-point quantification treatment device prototype is constructed.
Compared with the prior art the present invention has the advantages that
Multilayered structure of the invention can decouple combination to multichannel data, by data source and obtain function and information delivery
It disassembles to come with data supplying functional, provides a kind of path for the chip design of Information physics emerging system.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of multichannel data piecemeal floating-point quantification treatment device prototype schematic illustration of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It is a kind of multichannel data piecemeal floating-point quantification treatment device prototype schematic illustration referring to attached drawing 1, which provides
A kind of multichannel data piecemeal floating-point quantification treatment device framework, it is characterized in that:
Data are subjected to Screening Treatment, three ways of creation structural data, semi-structured data and unstructured data
Collect array；
Sampling of data and classification and mapping processing are carried out to each subset；
Using Higher-order Singular value decomposition, three way collection arrays are decomposed into the matrix pattern of second-order tensor；
Matrix pattern is transformed into sparse domain again, carries out piecemeal floating-point quantification treatment；
By register, control unit and bus, multichannel data piecemeal floating-point quantification treatment device prototype is constructed.
Computer and network monitors and controls physics process, and under normal conditions these physics processes and calculation procedure anti-
It influences each other in feedback loop.Interaction of the CPS primarily with regard to physics and information, rather than simple synthesis.
Sparse signal, which refers to, to be equal to zero in the value of most of sampling instants or is approximately equal to zero, only a small amount of samples moment
Value be obviously not equal to zero signal.Many natural signs are not sparse signal in time domain, but are in some transform domain
Sparse.These transformation tools include Fourier transformation, Instant Fourier Transform, wavelet transformation and Gabor transformation etc..
It is that data are divided into group using block floating point algorithm, the bi-directional scaling relative to each other of the data in group, but cannot be with
The member of other groups scales in the same proportion, even if the mathematical operation simple in this way of such as multiplication.In more complicated matrix
More complicated mathematical operation is needed in situation of inverting, between grouping, must just use block floating point processor.
Piecemeal floating-point quantization algorithm is based on the fact that in a small time interval, the entropy of data will be lower than entire number
According to the entropy of collection.Piecemeal floating-point quantizer is the output stream of a reception analog-digital converter, and by sampled data unified quantization
For a kind of equipment of effective representation of initial data, only require that bit number is less than sample number in quantizing process.
Multilayered structure can decouple combination to multichannel data, by data source and obtain function and information delivery and data confession
It answers Function Decomposition to come, provides a kind of path for the chip design of Information physics emerging system.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (2)
1. a kind of multichannel data piecemeal floating-point quantification treatment device framework, it is characterized in that:
Data are subjected to Screening Treatment, three way collection battle arrays of creation structural data, semi-structured data and unstructured data
Column；
Sampling of data and classification and mapping processing are carried out to each subset；
Using Higher-order Singular value decomposition, three way collection arrays are decomposed into the matrix pattern of second-order tensor；
Matrix pattern is transformed into sparse domain again, carries out piecemeal floating-point quantification treatment.
2. a kind of multichannel data piecemeal floating-point quantification treatment device framework according to claim 1, including register, control unit
Part and bus construct multichannel data piecemeal floating-point quantification treatment device prototype.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910603213.6A CN110334316A (en) | 2019-07-08 | 2019-07-08 | A kind of multichannel data piecemeal floating-point quantification treatment device prototype |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910603213.6A CN110334316A (en) | 2019-07-08 | 2019-07-08 | A kind of multichannel data piecemeal floating-point quantification treatment device prototype |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110334316A true CN110334316A (en) | 2019-10-15 |
Family
ID=68143221
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910603213.6A Pending CN110334316A (en) | 2019-07-08 | 2019-07-08 | A kind of multichannel data piecemeal floating-point quantification treatment device prototype |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110334316A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105206278A (en) * | 2014-06-23 | 2015-12-30 | 张军 | 3D audio encoding acceleration method based on assembly line |
| JP2016131383A (en) * | 2012-02-29 | 2016-07-21 | ソニー株式会社 | Image processor, method, record medium and program |
| CN107247575A (en) * | 2017-06-06 | 2017-10-13 | 上海德衡数据科技有限公司 | A kind of multichannel data floating point processor prototype |
-
2019
- 2019-07-08 CN CN201910603213.6A patent/CN110334316A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016131383A (en) * | 2012-02-29 | 2016-07-21 | ソニー株式会社 | Image processor, method, record medium and program |
| CN105206278A (en) * | 2014-06-23 | 2015-12-30 | 张军 | 3D audio encoding acceleration method based on assembly line |
| CN107247575A (en) * | 2017-06-06 | 2017-10-13 | 上海德衡数据科技有限公司 | A kind of multichannel data floating point processor prototype |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Kolmogorov | Three approaches to the definition of the concept “quantity of information” | |
| Crutchfield et al. | Are attractors relevant to turbulence? | |
| Jordi et al. | sbPOM: A parallel implementation of Princenton Ocean Model | |
| Arafa et al. | Application of residual power series method to fractional coupled physical equations arising in fluids flow | |
| CN107247575A (en) | A kind of multichannel data floating point processor prototype | |
| Oyekanlu | Distributed osmotic computing approach to implementation of explainable predictive deep learning at industrial IoT network edges with real-time adaptive wavelet graphs | |
| Sonfack et al. | Optimal duty-cycle modulation scheme for analog-to-digital conversion systems | |
| Elhadj et al. | A minimal 2-D quadratic map with quasi-periodic route to chaos | |
| Harten | Multiresolution representation and numerical algorithms: a brief review | |
| Cohen | Threshold phenomena in random structures | |
| CN110334316A (en) | A kind of multichannel data piecemeal floating-point quantification treatment device prototype | |
| Luque et al. | Entropy and renormalization in chaotic visibility graphs | |
| Rand | Measuring and characterizing spatial patterns, dynamics and chaos in spatially extended dynamical systems and ecologies | |
| Madadum et al. | Fpga-based optimized convolutional neural network framework for handwritten digit recognition | |
| CN110221951A (en) | A kind of multi-modal decision system of O&M based on multi-data processing device | |
| Ma et al. | Deep Lossless Compression Algorithm Based on Arithmetic Coding for Power Data | |
| Cui et al. | Parallelisation of a distributed hydrologic model | |
| Biey et al. | Complex dynamic phenomena in space-invariant cellular neural networks | |
| Qin et al. | Exploiting the tree‐structured compressive sensing of wavelet coefficients via block sparse Bayesian learning | |
| Vladimirescu | Lsi circuit simulation on vector computers (spice2, classie) | |
| Čvorović‐Hajdinjak et al. | Conditional Neural Process for nonparametric modeling of active galactic nuclei light curves | |
| Bayly et al. | Independent degrees of freedom of dynamical systems | |
| Jou et al. | A novel implementation of pipelined Toeplitz system solver | |
| Minaev et al. | Forecasting of Fuzzy Time Series Based on the Concept of the Nearest Fuzzy Sets and Tensor Models of Time Series | |
| CN111176947A (en) | Operation and maintenance early warning and prevention system based on multi-path data processor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20191015 |
|
| WD01 | Invention patent application deemed withdrawn after publication |