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基于Matlab的MIMO通信系统仿真

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基于Matlab的MIMO通信系统仿真;了解移动通信关键技术;了解数字通信系统仿真流程;实现基本的信道编译码、调制解调等通信模块;学习并实现MIMO空时处理技术;学习性能分析的思路和方法。MIMO communication system based on Matlab simulation; understand key mobile communication technology; understand digital communication system simulation process; achieve basic channel encoding and decoding,

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MODULE2235. 15. 1 Register loading Detection.....2235.15.2 Functionality Detection2245.15.3 Chip Attachment Detection…….2255.16 DISPLAY PANEL COLOR CHARACTERISTICS mmmm 2265.17 GAMMA FUNCTI0N..…,………面国面面面国面2275.18 BASIC DISPLAY MODE■日量2285.19 NSTRUCTION SETTING SEQUENCE2295.19.1 Sleep In/Out Sequence…,…,…,…,…,…,…,…,…,…,,…,…,…,…,,…2295192 Deep Standby Mode Enter/ Exit Sequence……2305.20 INSTRUCTION SETUP FLOW2315. 20.1 Initializing with the Built-in Power Supply circuits2315. 20.2 Power OFF Sequence232521 MTP WRITE SEQUENCE…….2335.22 DYNAMIC BACKLIGHT CONTROL FUNCTION234522.1 PWM Control Architecture面面面面面面a面a面面2365. 22.2 Dimming Function for LABC and Manual Brightness Control6.22. 3 Dimming Function for CABC and Force PWM Function,2445.22.4 PWM Signal Setting for CABC and LABC2455.2.5 Content Adaptive Brightness Contro/CABC)………,2475.22.6 Ambient Light Sensor and Automatic Brightness Contro(LABC)…,…,…,…,…,…,…,…,…,………2485.23 COLUMN, 1-DOT, 2-DOT, 3-DOT AND 4-DOT INVERSION (VCOM DC DRIVE2556 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Mode On(1300h)...............………275INVOFF: Display Inversion Off (2000h)276yvoN: Display Inversion On(2100b)….......……量道量道面道量温量量量面量面面面面目面面277ALLPOFF: All Pixel Off(2200h)278ALLPON: All Pixel On(2300h280GAMSET: Gamma Set(2600h)…,,,,,,…,282DISPOFF: Display ofi(2800b)….……....,,…,…,…,…,……,283DISPON: Display On( 2900b)284CASET: Column address set(2A00h~2A03h).……,,…285RASET: Row Address Setn287RAMWR: Memory Write(2c00h)289RAMRD: Memory290PILAR: Partial Area(3000h-3003)....∴291TEOFF: Tearing Effect Line OFF (3400h)面面面面面a面面294TEON: Tearing Effect Line ON (3500h)295MADCTL: Memory data Access Control (3600h)..............................296DMOFF: dle mode o(3800……299IDMON: ldle Mode On (3900h).......300COLMOD: Interface Pixel Format 3A00h)302RAMWRC: Memory Write Continue(3c00h)…..........……303RAMRDC: Memory Read Continue(3E00h)……,…,,…,,,…,…304STESL: Set Tearing Effect Scan Line(4400h-4401)...........305GSL: Get Scan Line(4500h-4501h),.…,…,…,…,…,…,…,…,…,…,…,,…307DPCKRGB: Display Clock in RGB 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Read Fs value lsBs(5B0h)..............….……324RDMFFSVM Read Median Filter Fs value MSBs (cooh).325RDMFFSVL: Read Median Filter Fs value LSBs(5D00h)326WRCABCMB: Write CABC minimum brightness(5E00h).,…,…,…,………,,………327RDCABCMB: Read CABC minimum brightness(5Fooh).........328WRLSCO: Write Light Sensor Compensation Coefficient value(6500h~6501h)………,……………,…,…,…………329RDLSCCM: Read Light Sensor Compensation Coefficient Value MSBs(6600h )......,.........-. 330RDLSCCL: Read Light Sensor Compensation Coefficient Value LSBsRDBWLB: Read Black/White low Bits(7000h)332RDBkX: Read Bkx (7100h)333RDBky: Read Bky(7200h)334RDWX: Read Wx( 7300b)............. e..335RDWy: Read wy(7400h)…336RDRGLB: Read Red/Green Low Bits(7500h).......337RDRx: Read Rx(7600).……338RDRy: Read Ry(7700b)..........339RDGX: Read…,,,,,,,,340RDGy: Read Gy(7900h)....................n…341RDBALE: Read blue/ color low Bits(7A00h)……n,,342RDBx: Read Bx(7B00b)-..……,,,343RDBy: Read By(7c00b),,,,.,.,.,.,.,.,.,...,.,.,.,.,.,.,.,…,…344RDAx: Read 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VDDELUpdate: MVDDL,VGL,VGH, Test pinsPage23, update IF tablePage 51 to 66: update SPl, M3=1 setting in figurePage 102, 103, change DSIM, DSiG bit Reg to OXB 100Page 115, 124 Add WrPFD 50h on tablePage201, modified to 480X864 memoryPage202, Remove 320x480Page204, update whole Frame memory tablePage 205, TE map to 480 lines, DOPCTR change to B100hPage207, tvdI TBDPage225, 226, update VDD in figurePage227, Modes to 7Page232, Sout update to Gout0.01Page235, Add chip attachment Detection sectionKevinSWDens2010/03/17Page237, update Gamma StructurePage255, 270, update FOSC, ExamplePage266, update KB CLEDPage272, Add inversion sectionPage273, 274, Power ArchitecturePage275, update DIOPWRVREFCP, VGMP1,VGLOPage276, update C61P/N, LVGL, VGLO, VRGH,VREFCP, DIOPWR,VGMP 1/2VGMNVGSPVGSNPage291, change name to RAMKPPage306 to 312, remove 320x 480 resolution settingPage337, 5400h Cmd add a andg bitPage385, Absolute Max Rating for MV Hv, remove VDDIMPage 386, VDDIM removePage387, Vdev value 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description tablePage 207, update Address CounterKevinDennis2010/0406Page 235, update Resolution DataPage 252, remove CLED VOLPage 271, remove KB CLED_ VOLPage 277, add 4 dot inversionPage 306, 308, 313, 326 resolution update, remove nHD, add 480X720Page 384, update absolute voltagePage 385, update DC specPage 386, update Note3, Note5Page 405. update resolutionPage 406. update Alignment Mark-Page10,11205,206,234,305307,312,325404, update resolutionPage 13, update Block diagramPage 17-24, update pin description(MDDI not support DSWAPUpdate TEIR, TE_L, DSTB SEL, RESX, VSEL VREF PWR 12C_SDAremove VDD BD, ENDIOVPagB104121ric data type 0x24Page 134, update eotP optionPage 175, update MDDI support typPage 176, 177, update sub frame header, link shut down packetSWDennis2010/05/18Page 179, 180, update skew calibration packet, client capability packetPage 184, update packet type is 20Page 209, 214, update tE off, output is low, tering effect bus triggerPage 241, update gamma to 10 bits 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figurePage 200, update TE waveform in RGB mode 2Page 237, MTP sequencePage 238-258, update one dimming control for LABC CABcremove KBBc function descriptionPage 260, update 0X04 Cmd, remove KBBC CmdPage 262, update 0XA 1,0xA8 CmdRemove all the KBBc related function registerPage11,12,190,191,219,284-287,291,304,376,remove 480RGBX 360Page 15, update MTP PWR application voltagePage 16, update CSX, RDX, DC/X, SDI, SDOPage 18, update DSWAPPage 19, correct typo for IM[3: 0]in MDDI+SCL(falling edge)Page 38&44, update typo for data format in table0.05Page 53, update read data 8-8-8-bit only in SPIKevinDenn2010/10/18Page 183, 184, update note for min porch of RGB interfacePage 232, update MTP sequence and MTP PWR voltagePage 235, 236, remove PWM ENH OE bit(keep x2Page 312, 314, update typo for BCTRL and BLPage 371, 372: update figuresPage 373: update figure, add RGB+l2CPage 374: update figures, IM settingPage 375: update figures, IM settingPage 15, update DVDD typicage 129, update typo in 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  • Two Dimensional Phase Unwrapping Theory Algorithms and Software
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The SAR data was provided by Radarsat Intenational THinterferogram was generated and provided by Vexcel Corporation, Boulder, Coloradop00This text is printed on acid-free paper.Copyright o 1998 by John Wiley Sons, Inc. All rights reservedNo part of this publicationreproduced, stored in a retrievalsystem or transmitted in any form or by any means, elechanical photocopying, recording, scanning or otherwise,xcept as permitted under Sections 107 or 1O% of the 1976of the Publisher or authorization through payment of theontates Copyright Act, without cither theppropriate per-copy fee to the Copyright Clearance Center, 222750-4744. Requests to the Publisher for permission show(978)ood Drive, Danvers, MA 01923, (978)750-8400, faxnc.. 605 Third A venue. New York, NY 10158-0012(212)850-6011fax(212)850-6008,E-Mail:PERMREQ@WILEY.COMTwo-dimensional phase unwrapping: theory, algorithms, andsoftware/Dennis C Ghiglia and Mark D Pritt.SBN0-471-24935-1(cloth: alk. paper)1. Synthetic aperture radar. 2. Signal processing--Mathematics3. Interferometry. I Pritt. Mark D. [L. Title621.367-dc2l97-3803410987654321;4TWO-DIMENSIONALPHASE UNWRAPPINGFOREWORDTwo-dimensional phase unwrapping is the type of problem that is typically thedomain of the mathematician. It is both complex and abstract However, phaseunwrapping is also the core technology that enables radar interferometryOver the past decade interferometry has changed the way that we use radardata. Radar data are now used for precise measurement of surface topography inclouded regions. Additionally, spaceborne radar systems have proved effectivefor measuring surface changes from earthquakes and volcanic eruptions. Theseapplications have created a new class of radar data users primarily involved inmapping and remote sensing applicationIn Two-Dimensional Phase Unwrapping: Theory, Algorithms, and Softwarethe authors unlock the mystery of phase unwrapping in interferometric datarocessing. This text provides a clear, concise treatment of phase unwrappingthat cannot be found in any other source. It presents for the first time therelationship between theory and application. Its uniform treatment of thevarious phase unwrapping techniques makes it a valuable resource for anyengineer or scientist involved in processing or exploitation of interferometricexpect that radar interferometry will increase in importance over the comingdecade with the development of airborne and spaceborne sensor systemsdesigned to optimally exploit this tcchnology. Two- Dimensionsping: Theory, Algorithms, and Software is an important contribution to ourinderstanding of radar interferometry that will bencfit both research intoadvanced techniques and the design of these future sensor systemsJOHN C. CURLANDEPresident and CEOVexcel CorporationPREFACETwo-dimensional phase unwrapping arises most naturally in, but is notrestricted to, interferometric applications. Measured or calculated phasevalues from two or more mutually coherent multidimensional signals are relatedn a nonlinear manner to a desired physical quantity of interest. The nonlinearityis in the form of"wraps"or cycle discontinuities where an underlying two-dimensional phase is wrapped into the interval (T, r. The wrapped phasemust somehow be unwrapped in order to provide an estimate of the underlyingphysical quantity. Estimation of surface topography from interferometricsynthetic aperture radar(SAR)or extremely accurate profiling of mechanicaparts by optical interferometers are two such examplesOriginally developed for military reconnaissance, SAR is now experiencingnew life in civil applications. In fact civilian and commercial interests are rapidlbecoming the drivers of technology. Clever utilization of the coherent SArimagery in interferometric configurations makes possible the measurement ofsurface topography to accuracies much better than the spatial resolution( 0.3meters to several meters)of the SaR images themselves. Indeed, as is commonplace with interferometers, measurement sensitivities are on the order of theoperating wavelength, which is typically a few centimeters for SAR. Imaginggeometries, noise, and other operational factors degrade performance some-what from centimeter-scale accuracies, but nevertheless SAR interferometrymakes possible global topographic mapping in a timely fashion, in daylight or atnight, in all weather conditions, and with unprecedented accuracyinterferometry also can detect deformations of the earths crust on the orderof millimeters, a capability that shows promise for the timely detection ofearthquakes or volcanic eruptionsThese exciting possibilities have led to an explosive growth in the field of phaseunwrapping as indicated by the increasing number of journal publicationsNewcomers to SAR interferometry and related disciplines will eventuallyonfront the phase unwrapping problem and, undoubtedly, will encounter arather bewildering variety of ideas and algorithms, including those based onneural networks, simulated annealing, cellular automata, genetic algorithms,and other unusual constructs. Which of these are good? Which are not? We doThroughout this book we use the notation(-丌,丌 to represent the interval-丌
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