dvb通用解扰算法的高性能ip核设计 efficient ip core implementation of dvb common descrambling algorithm-作者贺光辉,罗飞,俞伟,周祖成.mht

关于通用解扰的实现

ICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
CiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAK
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAg
ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCjw/eHBhY2tldCBlbmQ9
J3cnPz7/4gxYSUNDX1BST0ZJTEUAAQEAAAxITGlubwIQAABtbnRyUkdCIFhZWiAHzgACAAkABgAx
AABhY3NwTVNGVAAAAABJRUMgc1JHQgAAAAAAAAAAAAAAAAAA9tYAAQAAAADTLUhQICAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABFjcHJ0AAABUAAAADNkZXNj
AAABhAAAAGx3dHB0AAAB8AAAABRia3B0AAACBAAAABRyWFlaAAACGAAAABRnWFlaAAACLAAAABRi
WFlaAAACQAAAABRkbW5kAAACVAAAAHBkbWRkAAACxAAAAIh2dWVkAAADTAAAAIZ2aWV3AAAD1AAA
ACRsdW1pAAAD+AAAABRtZWFzAAAEDAAAACR0ZWNoAAAEMAAAAAxyVFJDAAAEPAAACAxnVFJDAAAE
PAAACAxiVFJDAAAEPAAACAx0ZXh0AAAAAENvcHlyaWdodCAoYykgMTk5OCBIZXdsZXR0LVBhY2th
cmQgQ29tcGFueQAAZGVzYwAAAAAAAAASc1JHQiBJRUM2MTk2Ni0yLjEAAAAAAAAAAAAAABJzUkdC
IElFQzYxOTY2LTIuMQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAWFlaIAAAAAAAAPNRAAEAAAABFsxYWVogAAAAAAAAAAAAAAAAAAAAAFhZWiAAAAAAAABv
ogAAOPUAAAOQWFlaIAAAAAAAAGKZAAC3hQAAGNpYWVogAAAAAAAAJKAAAA+EAAC2z2Rlc2MAAAAA
AAAAFklFQyBodHRwOi8vd3d3LmllYy5jaAAAAAAAAAAAAAAAFklFQyBodHRwOi8vd3d3LmllYy5j
aAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABkZXNjAAAAAAAA
AC5JRUMgNjE5NjYtMi4xIERlZmF1bHQgUkdCIGNvbG91ciBzcGFjZSAtIHNSR0IAAAAAAAAAAAAA
AC5JRUMgNjE5NjYtMi4xIERlZmF1bHQgUkdCIGNvbG91ciBzcGFjZSAtIHNSR0IAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAZGVzYwAAAAAAAAAsUmVmZXJlbmNlIFZpZXdpbmcgQ29uZGl0aW9uIGluIElF
QzYxOTY2LTIuMQAAAAAAAAAAAAAALFJlZmVyZW5jZSBWaWV3aW5nIENvbmRpdGlvbiBpbiBJRUM2
MTk2Ni0yLjEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHZpZXcAAAAAABOk/gAUXy4AEM8UAAPt
zAAEEwsAA1yeAAAAAVhZWiAAAAAAAEwJVgBQAAAAVx/nbWVhcwAAAAAAAAABAAAAAAAAAAAAAAAA
AAAAAAAAAo8AAAACc2lnIAAAAABDUlQgY3VydgAAAAAAAAQAAAAABQAKAA8AFAAZAB4AIwAoAC0A
MgA3ADsAQABFAEoATwBUAFkAXgBjAGgAbQByAHcAfACBAIYAiwCQAJUAmgCfAKQAqQCuALIAtwC8
AMEAxgDLANAA1QDbAOAA5QDrAPAA9gD7AQEBBwENARMBGQEfASUBKwEyATgBPgFFAUwBUgFZAWAB
ZwFuAXUBfAGDAYsBkgGaAaEBqQGxAbkBwQHJAdEB2QHhAekB8gH6AgMCDAIUAh0CJgIvAjgCQQJL
AlQCXQJnAnECegKEAo4CmAKiAqwCtgLBAssC1QLgAusC9QMAAwsDFgMhAy0DOANDA08DWgNmA3ID
fgOKA5YDogOuA7oDxwPTA+AD7AP5BAYEEwQgBC0EOwRIBFUEYwRxBH4EjASaBKgEtgTEBNME4QTw
BP4FDQUcBSsFOgVJBVgFZwV3BYYFlgWmBbUFxQXVBeUF9gYGBhYGJwY3BkgGWQZqBnsGjAadBq8G
wAbRBuMG9QcHBxkHKwc9B08HYQd0B4YHmQesB78H0gflB/gICwgfCDIIRghaCG4IggiWCKoIvgjS
COcI+wkQCSUJOglPCWQJeQmPCaQJugnPCeUJ+woRCicKPQpUCmoKgQqYCq4KxQrcCvMLCwsiCzkL
UQtpC4ALmAuwC8gL4Qv5DBIMKgxDDFwMdQyODKcMwAzZDPMNDQ0mDUANWg10DY4NqQ3DDd4N+A4T
Di4OSQ5kDn8Omw62DtIO7g8JDyUPQQ9eD3oPlg+zD88P7BAJECYQQxBhEH4QmxC5ENcQ9RETETER
TxFtEYwRqhHJEegSBxImEkUSZBKEEqMSwxLjEwMTIxNDE2MTgxOkE8UT5RQGFCcUSRRqFIsUrRTO
FPAVEhU0FVYVeBWbFb0V4BYDFiYWSRZsFo8WshbWFvoXHRdBF2UXiReuF9IX9xgbGEAYZRiKGK8Y
1Rj6GSAZRRlrGZEZtxndGgQaKhpRGncanhrFGuwbFBs7G2MbihuyG9ocAhwqHFIcexyjHMwc9R0e
HUcdcB2ZHcMd7B4WHkAeah6UHr4e6R8THz4faR+UH78f6iAVIEEgbCCYIMQg8CEcIUghdSGhIc4h
+yInIlUigiKvIt0jCiM4I2YjlCPCI/AkHyRNJHwkqyTaJQklOCVoJZclxyX3JicmVyaHJrcm6CcY
J0kneierJ9woDSg/KHEooijUKQYpOClrKZ0p0CoCKjUqaCqbKs8rAis2K2krnSvRLAUsOSxuLKIs
1y0MLUEtdi2rLeEuFi5MLoIuty7uLyQvWi+RL8cv/jA1MGwwpDDbMRIxSjGCMbox8jIqMmMymzLU
Mw0zRjN/M7gz8TQrNGU0njTYNRM1TTWHNcI1/TY3NnI2rjbpNyQ3YDecN9c4FDhQOIw4yDkFOUI5
fzm8Ofk6Njp0OrI67zstO2s7qjvoPCc8ZTykPOM9Ij1hPaE94D4gPmA+oD7gPyE/YT+iP+JAI0Bk
QKZA50EpQWpBrEHuQjBCckK1QvdDOkN9Q8BEA0RHRIpEzkUSRVVFmkXeRiJGZ0arRvBHNUd7R8BI
BUhLSJFI10kdSWNJqUnwSjdKfUrESwxLU0uaS+JMKkxyTLpNAk1KTZNN3E4lTm5Ot08AT0lPk0/d
UCdQcVC7UQZRUFGbUeZSMVJ8UsdTE1NfU6pT9lRCVI9U21UoVXVVwlYPVlxWqVb3V0RXklfgWC9Y
fVjLWRpZaVm4WgdaVlqmWvVbRVuVW+VcNVyGXNZdJ114XcleGl5sXr1fD19hX7NgBWBXYKpg/GFP
YaJh9WJJYpxi8GNDY5dj62RAZJRk6WU9ZZJl52Y9ZpJm6Gc9Z5Nn6Wg/aJZo7GlDaZpp8WpIap9q
92tPa6dr/2xXbK9tCG1gbbluEm5rbsRvHm94b9FwK3CGcOBxOnGVcfByS3KmcwFzXXO4dBR0cHTM
dSh1hXXhdj52m3b4d1Z3s3gReG54zHkqeYl553pGeqV7BHtje8J8IXyBfOF9QX2hfgF+Yn7CfyN/
hH/lgEeAqIEKgWuBzYIwgpKC9INXg7qEHYSAhOOFR4Wrhg6GcobXhzuHn4gEiGmIzokziZmJ/opk
isqLMIuWi/yMY4zKjTGNmI3/jmaOzo82j56QBpBukNaRP5GokhGSepLjk02TtpQglIqU9JVflcmW
NJaflwqXdZfgmEyYuJkkmZCZ/JpomtWbQpuvnByciZz3nWSd0p5Anq6fHZ+Ln/qgaaDYoUehtqIm
opajBqN2o+akVqTHpTilqaYapoum/adup+CoUqjEqTepqaocqo+rAqt1q+msXKzQrUStuK4trqGv
Fq+LsACwdbDqsWCx1rJLssKzOLOutCW0nLUTtYq2AbZ5tvC3aLfguFm40blKucK6O7q1uy67p7wh
vJu9Fb2Pvgq+hL7/v3q/9cBwwOzBZ8Hjwl/C28NYw9TEUcTOxUvFyMZGxsPHQce/yD3IvMk6ybnK
OMq3yzbLtsw1zLXNNc21zjbOts83z7jQOdC60TzRvtI/0sHTRNPG1EnUy9VO1dHWVdbY11zX4Nhk
2OjZbNnx2nba+9uA3AXcit0Q3ZbeHN6i3ynfr+A24L3hROHM4lPi2+Nj4+vkc+T85YTmDeaW5x/n
qegy6LzpRunQ6lvq5etw6/vshu0R7ZzuKO6070DvzPBY8OXxcvH/8ozzGfOn9DT0wvVQ9d72bfb7
94r4Gfio+Tj5x/pX+uf7d/wH/Jj9Kf26/kv+3P9t////7gAOQWRvYmUAZAAAAAAB/9sAhAAGBAQE
BQQGBQUGCQYFBgkLCAYGCAsMCgoLCgoMEAwMDAwMDBAMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwM
DAwMAQcHBw0MDRgQEBgUDg4OFBQODg4OFBEMDAwMDBERDAwMDAwMEQwMDAwMDAwMDAwMDAwMDAwM
DAwMDAwMDAwMDAz/wAARCAAwAGIDAREAAhEBAxEB/90ABAAN/8QBogAAAAcBAQEBAQAAAAAAAAAA
BAUDAgYBAAcICQoLAQACAgMBAQEBAQAAAAAAAAABAAIDBAUGBwgJCgsQAAIBAwMCBAIGBwMEAgYC
cwECAxEEAAUhEjFBUQYTYSJxgRQykaEHFbFCI8FS0eEzFmLwJHKC8SVDNFOSorJjc8I1RCeTo7M2
F1RkdMPS4ggmgwkKGBmElEVGpLRW01UoGvLj88TU5PRldYWVpbXF1eX1ZnaGlqa2xtbm9jdHV2d3
h5ent8fX5/c4SFhoeIiYqLjI2Oj4KTlJWWl5iZmpucnZ6fkqOkpaanqKmqq6ytrq+hEAAgIBAgMF
BQQFBgQIAwNtAQACEQMEIRIxQQVRE2EiBnGBkTKhsfAUwdHhI0IVUmJy8TMkNEOCFpJTJaJjssIH
c9I14kSDF1STCAkKGBkmNkUaJ2R0VTfyo7PDKCnT4/OElKS0xNTk9GV1hZWltcXV5fVGVmZ2hpam
tsbW5vZHV2d3h5ent8fX5/c4SFhoeIiYqLjI2Oj4OUlZaXmJmam5ydnp+So6SlpqeoqaqrrK2ur6
/9oADAMBAAIRAxEAPwD07qmrWWmWhurtiqcljjRRyeSRzxSONRu7u2yqMBNIJpCPqerR2zXTabyV
FLtbRyh7ig3oBT0mf/IEv+ywWWNnuRVhrOm3+lRarazB7CaP1km6DhTeoO4K0oy/stjxCr6J4xV9
EKPNWjtpEOqCRjBcP6VvEFJmklqV9JYx8Rkqp+H/AGX2cjDLGURIci1wzxlESHIrbvzC1haPfahZ
S29jGOc0qssrRJ3eREJPFRu5T1OOSJrcszOtyE0WeGSFZkdWhZQ6yAgqVIryBG1KZK2dsM8h+cL/
AFLU77S9QYStFWexugoQvAzlQjqNuafD8Q+1mHps5kTE/wBaP9V1mg1pyylE/wAH8X9FnGZjs3Yq
7FXYq7FXYq//0O4eeZr2PzP5fMSGRVt9Sksk7NqCQL6I/wBf0Tcen/ssqyEjcebRlJG47pf6Zimi
6pOmqW+rfXJFEDGTUZJGZVWBQTIJeVB9H7OarDImYIJv/Kf1XnNDkzSz2bofX/VSG1tfO6rILbXJ
rLStVmlvrfRVt4mEMNxMZIhI01WVnH70xpw+18XxZkZCa4e/1Obq8/hw4T/F/CifJEfmPTvMN/Jq
N02oJFp1xf6JCU4rGxkEVw6ICayEUL0/Yk4/tY4JVAyA6SlFt0hMcXEB/CZRinemeYbpNQTUJr95
9P4SPqcbOXi+rCNiSyn4Vb+Xj/q5RgykzFHi/nuDodVlyZtyeH+NuPW/N3l/8vtO0+bTI7iKW2S3
iMdwY7qNWXkUaOVBGSkZ9P4ZszMkpDGB/O9LtNRlOPDv1FITyH5s0G11VrrVRcaSZSsUT3cDrFQG
lPXQPAKuT9qTIaQUTI9fTH+rH/jzj9k4eCJkTvN7QM2DunYq7FXYq7FXYq//0fRvnNLT/Dt1NcRL
KbcCW3JqCk6mkTqylWVlc7MjK2VZ5cMCWnUT4YE9zGfKFlZ+aNO+t6onrXMM7pLA7EwM0TfDI0dB
z3+LjJzXllemmckblztx9Fl8bGJljuoag91qd5NGxMlxcNDAeppUqD9CLXNdkkZE19WSXBH8f1Xn
dVKWfU8A/ncLPbXy9YrpFpdTAw3Gnhp7a5Q8ZIxwo4r3R0H7xG+Fs2wgIgAfwvV8AjEAfwMb8lPa
+Yrq9j1G3jD2skcsUcY4xPzHMNJH+00bAdTw/a45i6TJ4l2OVfS4Og1HjCVgek/w/wASF866pJee
Y49KtTUQH0Q3WjU5zSfqX/WXKdQTPKIj+r/xcnB19584wx/zv98hvNHkLTLTQ4r2UFJpJFidS7Eu
kgPIMCeOw+P4Rhz6WEIgjm2a7SQxYeKHpMfNnnkHVLnUfK1jLdOZLlUCSSt1fjUBj7sozM00jLGC
XZ6LIZ4YylzIZFl7lOxV2KuxV2Kv/9L0N+YFnqd55Znh06ITzh43aHkELojhmAJ2rtXfMfVQlKFD
dxNdinkxGMfqKV/lbaXNrpdwtzEYZWldyhINAzEjcbYNLCUYVLnZYdnYJYsIjL6mFeWYYm85Npd5
KkU1pJKojkYKWf1CCRXr+7oV/wAl8wtKB4tS/g4v9k6ns/FGOqnxfUPpet69a3U+g31rYgfWZbeS
OBWPEFmQgCvbNlliTAgc6d/miTAgc6YP+WOn6ha6lfve2xtncKBGSrEcFp1WozG0eKUeLiHDdf7l
13ZOlyYoy4xRlJI9beTyz57m1DUraWWwklklikRSQ0cxD/Cfs843BRkYr8OY8pHFl4iDwm/9k4sz
LT6ozlEyhMO8weYtR86XcFvp1tNbaXHUevKpX7WzFQftyEfCvH4E/mwylPOaA4Y/zmWfj1khEAwx
DnIvUPLOljTdJhtwvCgHw+AAoB92bOMREUOQd5GIiAByCa1wsnVGKuxV2KuxV//T9UMARirHrjzJ
aaNrKabqpW1gvTXTr5gFhdu8Dv0SZeqcv7xP8pcoOXhlUuv0ycaWfgnwy2Evpl/D/V/rIu78s6Xd
anFqvpIl9GABcBFLkDp8RFcs4I3dC27w4k8VDi/nIrUtV0/S7b1r2dYkH2Q27MfBVHxMfljOYiLK
MmSMBcjQeZnzbqvmHzdZtpRkttKsJg86xNxEpAIEUhXaRnr8a/Esaf5WYUMksuQV6YRdXh1M9TlB
hccWPn/TT38yPPemeWFiGraY91FPZ3FxZNE4DS3VuUpZqtK+rMJOUZ/yHzYO4YvP+c3lXS4rnULb
RprqyWF20m6SRXa9uIfq/rW8KUJDobsCv7XozfyYqjtU/P8A0iwivLoaXPcaequdIuoZEb9IGCeK
C4EK0qPRM3P9rkkUmKp1qv5gC8/LvXvMum+rbW1i9xFY3sXpyNMlvIIjPEHHp8XcOqc/2V5YqwfX
/wAzfNlnaa01veyNeWsuqfUoljg9Mx2mqWdtGhLLX1PTuHjQ/Z+Pk/xKuKvStH89pPpevXWrWL6X
d+WmddWtBItwFVLdbpXjkUKJFeCRW+yvxfDiqRyfml5ijttN9TyjKl9rVxBDpNu17b8JUuLeW4V3
lAPpNGsBWaP0248l9N5cVYz/ANDSeXf+rHe/7z8vtw/72/8ALL1+z/y8fY/ycVf/1PVOKoHWdF07
WLCWx1CBLi2lFGjcVHsd8jKIkKIsMJ44zFSFhgE/5Ya3p9V0HXb+0tf2bZZmkjA8FViCP+CzEOir
6ZSg4J7Pr6JzgP5qFg/KvUbqbnqt5cXjH7XrPwQ/MJ8bD29TBHQxu5EzYDsqBN5JSyf1meaB5V0/
SIkESLyQUQKoVVH+SBmZGIiKAoOyhARFRFBX1zyxoeuvpz6rarctpV2l/YliR6dxECEfYitAx+E/
DkmSWWv5aeSbXT9H0+DTI0tNBuZLzS4qsRFPLz5tUn4+Xqvs/wDxquKtQfll5JgsdFsI9MQWvl71
v0TEWciL6wjRy9T8fNZGrz/1sVXL+XPlNdEh0NLV00mCybTY7JZpRH9XZlcgqG+J+SD9637z7Xxf
E2KqF/8AlX5Iv47uO6sDIl6LkXIEsq8heTR3E9CrArylgib4fs8fhxVFaZ+X/lrTYFhgimkX1Zp7
hp7iaZrmS5i9GRrkyM31j918CiXkqcV4fZxVDaR+V3k3SbiC5tbWVri1mjntZp7iaZ4/RikghjRp
HYiCGKeVY4fsLz/mxVKv+VC/ld/1aT9v1f7+f7fj9vFX/9k=

------=_NextPart_000_000B_01C8F87B.8BD38460
Content-Type: image/jpeg
Content-Transfer-Encoding: base64
Content-Location: http://www.ilib.cn/Images/fulltext.jpg
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