MIPI Alliance Specification for D-PHY
MIPI Alliance Specification for D-PHY Version 1.00.00 – 14 May 2009配合“MIPI Alliance Specification for Camera Serial Interface 2 (CSI-2)“ 一起看。http://download.csdn.net/detail/micro_st/4242724Version1.00.0014-May-2009MIPI Alliance Specification for D-PHY2 The material contained herein is not a license, either expressly or impliedly, to any IPR owned or3 controlled by any of the authors or developers of this material or MIPl. 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The use or implementation of the contents of this Document may31 involve or require the use of intellectual property rights ("IPR")including(but not limited to) patents32 patent applications, or copyrights owned by one or more parties, whether or not Members of MIPIMIPI33 does not make any search or investigation for IPR, nor does miPi require or request the disclosure of any34 IPR or claims of IPR as respects the contents of this document or otherwise35 Questions pertaining to this document, or the terms or conditions of its provision, should be addressed36 MIPI Alliance. Inc37 c/o IEEE-ISTO38 445 Hoes lane39 Piscataway, NJ0885440 Alin: Board SecretaryCopyright C 2007-2009 MIPl Alliance, Inc. All rights reservedMIPI Alliance Member ConfidentialVersion1.00.0014-May-2009MIPI Alliance Specification for D-PHY42 Contents43 Draft Version 1.00.00-14 May 2009441 Overview1451.2 Purpose.…..,.,.,,.,..472 Terminology…2.1 Definitions162.2 Abbreviations…172.3 Acronyms51 3 D-PHY Introduction523.1 Summary of Phy functionality533.2 Mandatory Functionality················2054 4 Architecture21554.1 Lane modules…564.2 Master and slave2254.3 High Frequency Clock Generation22584.4 Clock lane data lanes and the phy-Protocol interface.224.5 Selectable Lane Options·;····················234.6 Lane Module Types4.6.1 Unidirectional Data Lane…264.6.2 Bi-directional data lanes26634.6.3 Clock lane.274.7 Configurations….7654.7.1 Unidirectional Configurations............664.7.2Bi-Dal Half-Duplex Configurations674.7.3 Mixed Data Lane configurations32Copyright C 2007-2009 MIPl Alliance, Inc. All rights reservedMIPI Alliance Member Confidential111Ⅴ ersion1.00.0014-May-2009MIPI Alliance Specification for D-PHY695.1Transmission Data Structure,………………………∴335.1.1Data unitsa勹5.1.2 Bit order Serialization and De-Serialization33725.1.3 Encoding and decoding735.1.4 Data Buffering,33745.2 Lane States and Line levels755.3 Operating Modes: Control, High-Speed, and Escape5. 4 High-Speed Data Transmission··········;·5. 41 Burst payload data785.4.2 Start-of-Transmission795.4.3End-of-transmission805.4.4 HS Data Transmission burst.365.5 Bi-directional data Lane turnaround5.6 Escape Mode41835.6.1Remote triggers42845.6.2 Low-Power data Transmission43855.6.3 Ultra-Low Power State865.6.4 Escape Mode State Machine43875.7 High-Speed Clock Transmission885. 8 Clock lane Ultra-Low Power State50959 Global Operation Timing Parameters.……5.10 System Power States56915.11 Initialization56925.12 Calibration5.13 Global Operation Flow Diagram57945.14 Data Rate Dependent Parameters(informative)955. 14.1 Parameters Containing Only UI values965. 14.2 Parameters Containing Time and Ul values59Copyright C 2007-2009 MIPl Alliance, Inc. All rights reservedMIPI Alliance Member ConfidentialVersion1.00.0014-May-2009MIPI Alliance Specification for D-PHY5.14.3 Parameters Containing Only Time Values…………5.14.4 Parameters Containing Only Time Values That Are Not Data Rate Dependent6 Fault detection611006.1 Contention detection1016.2 Sequence Error Detection.……611026.2.1 SoT Error621036.2.2 SOT Sync Error1046.2.3 EoT Sync Error1056.2. 4 Escape Mode Entry Command error.1066.2.5 LP Transmission Sync error621076.2.6 False Control error1086.3 Protocol Watchdog Timers(informative)62l096.3.1 HS RX Timeout6.3.2HS TX Timeout………………·················+···:··:·················∴62l116.3.3Escape mode timeout62l126.3. 4 Escape Mode Silence Timeout6.3.5 Turnaround errors114 7 Interconnect and Lane Configuration.641157.1 Lane configuration1167.2 Boundary Conditions.....…647.3 Definitions………64l187.4S- parameter Specifications………….651197.5 Characterization Conditions207.6 nterconnect Specifications………1217.6.1 Differential characteristics1227. 6.2 Common-mode characteristics671237.6.3 Intra-Lane Cross-Coupling1247. 6. 4 Mode-Conversion limitsCopyright C 2007-2009 MIPl Alliance, Inc. All rights reservedMIPI Alliance Member ConfidentialVersion1.00.0014-May-2009MIPI Alliance Specification for D-PHY1257.6.5 Inter-Lane Cross-Coupling671267. 6.6 Inter-Lane static skew1277.7 Driver and receiver Characteristics1287.7.1 Differential Characteristics1297. 7.2 Common-Mode characteristics1307.7.3 Mode-Conversion Limits1317.7.4 Inter-Lane Matching132 8 Electrical Characterislics701338.1 Driver characteristics1348.1.1 High-Speed Transmitter1358.1.2 Low-Power Transmitter1368.2 Receiver Characteristic·…············…·······…8301378.2.1 High-Speed Receiver801388.2.2Low- Power receiver.................….….821398.3 Line contention detection1408.4 Input Characteristics8441 9 High-Speed Data-Clock Timing1429.1 High-Speed Clock Timing861439.2 Forward High-Speed Data Transmission Timing871449.2.1 Data-Clock Timing Specifications1459.3 Reverse High-Speed Data Transmission Timing89146 10 Regulatory Requirements91147 Annex A Logical PHY-Protocol Inter face Description(informative)92148A 1 Signal Description149A 2 High-Speed Transmit from the Master Side150A3 High-Speed receive at the slave Sidel00151A 4 High-Speed Transmit from the Slave side152A.5 High-Speed Receive at the Master SideIOICopyright C 2007-2009 MIPl Alliance, Inc. All rights reservedMIPI Alliance Member ConfidentialVersion1.00.0014-May-2009MIPI Alliance Specification for D-PHY153A6 Low-Power Data Transmission102154A7 Low-Power Data Reception.103155A 8 Turn-around156 Annex B Interconnect Design Guidelines (informative)105157B. 1 Practical distances105158B 2 RF Frequency Bands: Interference.105B3 Transmission Line design160B4 Reference Layer.106161B 5 Printed-Circuit board106162B6 Flex-foils106163B 7 Series resistance106164B 8 Connectors106165 Annex C 8b9b Line Coding for D-PHY(normative)107166C 1 Line Coding Features...·············108167C.1.1Enabled Features for the Protocol108l68C 1. 2 Enabled Features for the Phy108169C2 Coding scheme170C 2.1 8b9b Coding Properties.....108171C 2.2 Data Codes: Basic Code Set……….109C.2.3 Comma Codes: Unique Exception Codes110173C 2.4 Control Codes: Regular Exception Codes…10174C.2.5 Complete Coding Scheme………175C 3 Operation with the D-PhY…11117yload: Data and Control177C.3.2 Details for Hs transmission………112178C.3.3 Details for LP Transmissionl12179C 4 Error Signal180C5 Extended PplCopyright C 2007-2009 MIPl Alliance, Inc. All rights reservedMIPI Alliance Member ConfidentialⅤ ersion1.00.0014-May-2009MIPI Alliance Specification for D-PHYl81C.6 Complete Code Set.….….l15182Copyright C 2007-2009 MIPl Alliance, Inc. All rights reservedMIPI Alliance Member Confidentialv111Version1.00.0014-May-2009MIPI Alliance Specification for D-PHYl83Figures184 Figure 1 Universal Lane Module functions21185 Figure2 Two Data Lane PHY Configuration.…………23186 Figure 3 Option Selection Flow Graph4187 Figure 4 Universal Lane Module Architecture25188 Figure 5 Lane Symbol Macros and Symbols Legend189 Figure 6 All Possible Data Lane Types and a basic Unidirectional Clock lane190 Figure 7 Unidirectional Single Data Lane Configuration30191 Figure 8 Unidirectional Multiple Data Lane Configuration without LPDT∴.30192 Figure 9 Two Directions Using Two Independent Unidirectional PHYs without LPDT.........31193 Figure 10 Bidirectional Single Data Lane Configuration31194 Figure 1l Bi-directional Multiple Data Lane Configuration......32195 Figure 12 Mixed Type multiple data Lane Configuration32196 Figure 13 Line level34197 Figure 14 High-Speed Data Transmission in Bursts36198 Figure 15 TX and rX State Machines for High-Speed Data Transmission37Figure16 Turnaround Procedure.……39200 Figure 17 Turnaround State Machine40201 Figure 18 Trigger-Reset Command in Escape Mode202 Figure 19 Two Data Byte Low-Power Data Transmission Example203 Figure 20 Escape Mode State Machine204 Figure2 I Switching the Clock Lane between Clock Transmission and low- Power mode………….47205 Figure 22 High-Speed Clock Transmission State Machine49206 Figure 23 Clock Lane Ultra-Low Power State State Machine········+·+···+·4···207 Figure 24 Data Lane Module State Diagram57208 Figure 25 Clock Lane Module state diagram58209 Figure 26 Point-to-point InterconnectCopyright C 2007-2009 MIPl Alliance, Inc. All rights reservedMIPI Alliance Member Confidential
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基于高光谱成像的蓝莓内部品质检测 特征波长选择方法研究
在特征波长选取方面有一些创新，可以作为参考。在特征波长选取方面有一些创新，可以作为参考。（基于高光谱成像的蓝莓内部品质检测特征波长选择方法研究古文君1 ，田有文 1* ，张芳1 ，赖兴涛 1 ，何宽1 ，姚萍1 ，刘博林 2）586-482016620010~15mm0.8~2.3g。fone3:(InSpector V10E, Spectral InFinland)1392pix×1040pixCCDL CCD2(IGV-B141OM, IMPERX Incorporated, USA), 150W1. CCD Camera; 2.Spectrometer; 3.Shot; 4. Light source; 5. Samples(3900 Illuminatior, Illumination Tech6.Translationplatform7.Lightsourcecontroller;8.computernologies inc.,USA)、(IRCP0076-19. Translation platform controllerCOM,)、(120cm×50cmx(DELL VoStro 5560D-1528Figure 1 Schematic diagram of hyperspectral imagingcmsystem400~1000nm,4722.8nmRRGY-4(10mm)(DBR45(successive projections algorithm, SPA(stepwise multiple linear regression, SMLR)(SPA)(SMLR)SPASPASMLRSPA-SPA、SMLR_SMLR、SPA- SMLRSMLR-SPA21994-2018ChinaAcadcmicJournalElcctronicPublishingHousc.Allrightsrcscrved.http://www.cnki.nct5871.6BP(error back propagation)BP17(correlation coeffiient of calibration, Re)(root mean square error of calibration set, RMSEC)correlation coeffiient of pre-diction, Rp)(root mean square error of prediction set, RMSEP)ENVI 4.8(Research System Inc, ), MATLAB 2014a(The Math Works Inc)、TheUnscrambler9.7、 Excel2010(Ⅵ icrosoftdgle banddWcvef.BP models for soluble solidsThe selected characteristic wavelengthCurve of relative reflectanceExtract the region of interescontent and firmness prediction2figure 2 Flow chart of data processing280mm,68ms,28mm·s-。99%202.2600nm600nm2b2c)21994-2018ChinaAcadcmicJournalElcctronicPublishingHousc.Allrightsrcscrved.http://www.cnki.nct5884823(2f)BPSavitzky-Golasavitzky -golayTable 1 The effect of different spectra preprocessingCalibration setPredictioSpectrum typeRMSECRMSEPOriginal spcctrum0.933/0.9230.3510.4040.9200.9100.508/0.319MSCThe spectrum after MSC processing0.940/0.9450.56lO.3120.9190.9320.516/0.282SNThe spectrum after SNV processin0.93709340.60210.24309220.9010.6320.462Savitzky-golayThe spectrum after Savitzky-Golay processing 0.955/0.9550.3240.2410.951/0.9490.400/0.2782.5SPA-SPA SMLRSMLR SPA-SMLR SMLR-SPASPA-SPASPASavitzky-GolaySPATable 2 The results of multi-stage characteristic wavelength selection methodnmCharacteristie wavelength selection methodSPA-SPA452,455,470,482,490,785,893,912,921,942,950455,470,482,785,893.912SMLR-SMLR457,508,516,534,543,51,556,568,712,720.774,778508,534,543,712,720,774SPA-SMLR452,455,470,482,490,785,893,912,921,942,950452,470,482,490,893,912SMLR-SPA457,508,516,534,543,551,556,568,712,720,774,78534,7202.6Savilzky-gola(FS)392SPA-SPASMLR-SMLRSMLR-SMLRSMLR-SPABPBP0.001500021994-2018ChinaAcadcmicJournalElcctronicPublishingHousc.Allrightsrcscrved.http://www.cnki.nct589BPBPSPA-SPARp RMseP0.9520.391°Brix,RpRMSEP0.9530.234BrixTable 3 Detection results of soluble solid content and firmness of blueberry based on different multi-stagecharacteristic wavelength selection methodsCalibration setPrediction setCharacteristic selection method Wavelength numberRMSECRMSEP3929550.9550.324/0.2410.9510.9490.400/0.278SPA-SPA0.9590.9560.3180.1530.9520.9530.391/0.234SMLR-SMLR0.9560.9340.414/0.243912109020.559/0.349SPA SMLR0.828/0.8581.3670.58582208091.440/0.719SMLR- SPA20.958/0.9360.402/0.3359320.9280.435/0,4041387nm1229nm91.5%BPRRMSEP0.904215.163lBP3Rv0.84V0.94Rv0.83,SEV0.63。400-1000nmSavitzky-GolayBPSPA-SPASPA-SPA21994-2018ChinaAcadcmicJournalElcctronicPublishingHousc.Allrightsrcscrved.http://www.cnki.nct59048[1 KADER F,ROVEL. 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Hyperspectral imaging analysis for ripeness evaluation of strawberry with support vector ma-chine[j] Journal of Food Engincering, 2016, 179: 11-18[9J,2016,47(5:634-6402009,29(:1611-1615201536(12)171-17612]J,2012,32(11:3093309[13] LI B C, HOU B L, ZHANG D W,et al. Pears characteristics (soluble solids content and firmness prediction, varieties) testingInethods based on visible-near infrared hyperspecTral imaging[J]. OpLik, 2016, 127: 2624-2630[14] FAN S X, ZHANG B H,LI J B, et al. Prediction of soluble solids content of apple using the combination of spectra and textural features of hyperspectral reflectance imaging data[J. Postharvest Biology and Technology, 2016, 121: 51-61[15 RAJKUMAR P, WANG N,EIMASRY G, et al.Studies on banana fruit quality and maturity stages using hyperspectral imaging[ JIJournal of Food Engineering 2012, 108: 194-200,2015,36(16):10172015,35(8:2297-2302[18]WANG N,2007,23(2:151-155.「192008,39(5):91-9320」201536(10:70-74.[21] WU D, SUN D WAdvanced applications of hyperspectral imaging technology for food quality and safety analysis and assess-ment a review part T[J]. Innovative Food Science and Emerging Technologies, 2013, 19(4): 1-14J2014,35(8:57-61BP,2012.124」13,44(2):142-146.25],201523(6:1530-1537M011:41-48.[27,2013,24(10:1972-19762010,30(10):2729-2733?1994-2018ChinaAcadcmicJournaleLcctronicPublishingHousc.Allrightsreservedhttp://www.cnki.nct
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