XC4013E-1HQ208I
XC4013E-1HQ208I
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rohs

AMD Xilinx

XC4013E-1HQ208I


XC4013E-1HQ208I
F20-XC4013E-1HQ208I
Active
FIELD PROGRAMMABLE GATE ARRAY, CMOS, QFP-208
QFP-208

XC4013E-1HQ208I ECAD Model


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XC4013E-1HQ208I Attributes


Type Description Select
Pbfree Code No
Rohs Code No
Part Life Cycle Code Obsolete
Supply Voltage-Nom 5 V
Number of Inputs 192
Number of Outputs 192
Number of Logic Cells 576
Number of Equivalent Gates 10000
Number of CLBs 576
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Package Shape SQUARE
Technology CMOS
Organization 576 CLBS, 10000 GATES
Clock Frequency-Max 166 MHz
Power Supplies 5 V
Supply Voltage-Max 5.5 V
Supply Voltage-Min 4.5 V
JESD-30 Code S-PQFP-G208
Qualification Status Not Qualified
JESD-609 Code e0
Moisture Sensitivity Level 3
Peak Reflow Temperature (Cel) 225
Time@Peak Reflow Temperature-Max (s) 30
Number of Terminals 208
Package Body Material PLASTIC/EPOXY
Package Code HFQFP
Package Equivalence Code HQFP208,1.2SQ,20
Package Shape SQUARE
Package Style FLATPACK, HEAT SINK/SLUG, FINE PITCH
Surface Mount YES
Terminal Finish Tin/Lead (Sn85Pb15)
Terminal Form GULL WING
Terminal Pitch 500 µm
Terminal Position QUAD
Width 28 mm
Length 28 mm
Seated Height-Max 4.1 mm
Ihs Manufacturer XILINX INC
Part Package Code QFP
Package Description QFP-208
Pin Count 208
Reach Compliance Code compliant
HTS Code 8542.39.00.01

XC4013E-1HQ208I Datasheet Download


XC4013E-1HQ208I Overview



The XC4013E-1HQ208I is a chip model that is suitable for multiple applications such as high-performance digital signal processing, embedded processing, and image processing. It requires the use of HDL language, making it a powerful tool for those with the right skills.


As technology advances, the XC4013E-1HQ208I chip model is likely to become increasingly popular. This model is likely to be used in the development and popularization of future intelligent robots, making it an important tool for those who are looking to stay ahead of the curve.


To effectively use the XC4013E-1HQ208I chip model, certain technical skills are required. Those who are looking to use the model should be familiar with HDL language, as well as have knowledge of digital signal processing, embedded processing, and image processing. Additionally, having knowledge of new technologies such as machine learning and artificial intelligence can be beneficial.


In conclusion, the XC4013E-1HQ208I chip model is a powerful tool that is suitable for multiple applications. As technology advances, it is likely to become increasingly popular. To effectively use the model, those looking to use it should have knowledge of HDL language, digital signal processing, embedded processing, and image processing, as well as any other new technologies that may be required in the future.



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