LC51024MV-75FN484C
LC51024MV-75FN484C
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LC51024MV-75FN484C


LC51024MV-75FN484C
F11-LC51024MV-75FN484C
Active
IC CPLD 1024MC 7.5NS 484FBGA
484-FPBGA (23x23)

LC51024MV-75FN484C ECAD Model


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LC51024MV-75FN484C Attributes


Type Description Select
Mfr Lattice Semiconductor Corporation
Series ispXPLD® 5000MV
Package Tray
Programmable Type In System Programmable
Delay Time tpd(1) Max 7.5 ns
Voltage Supply - Internal 3V ~ 3.6V
Number of Logic Elements/Blocks 32
Number of Macrocells 1024
Number of I/O 317
Operating Temperature 0°C ~ 90°C (TJ)
Mounting Type Surface Mount
Package / Case 484-BBGA
Supplier Device Package 484-FPBGA (23x23)
Base Product Number LC51024

LC51024MV-75FN484C Datasheet Download


LC51024MV-75FN484C Overview



The LC51024MV-75FN484C chip model is a high-performance digital signal processor (DSP) that is suitable for a variety of applications, such as embedded processing, image processing, and more. The chip model is programmed using the HDL language and is capable of performing complex tasks quickly and efficiently.


The chip model offers a number of advantages to users. It is highly efficient, with a low power consumption and a high speed, making it ideal for use in embedded systems and image processing applications. It has a wide range of support for a variety of programming languages, including HDL, making it a versatile and powerful processor. Additionally, it has a large memory capacity and can support a large number of peripherals, allowing for a wide range of applications.


The chip model is expected to become increasingly popular in the future, as it is expected to be used in a variety of applications. This includes applications in the field of network security, as well as in a range of intelligent scenarios such as autonomous vehicle navigation and facial recognition. Furthermore, it is expected to be used in the era of fully intelligent systems, as it is capable of performing complex tasks quickly and efficiently.


The LC51024MV-75FN484C chip model is a powerful and versatile processor that is suitable for a wide range of applications. It is highly efficient, with a low power consumption and a high speed, making it ideal for use in embedded systems and image processing applications. It is also expected to be used in a variety of applications in the future, including network security, autonomous vehicle navigation, facial recognition, and more. Furthermore, it is expected to be used in the era of fully intelligent systems, as it is capable of performing complex tasks quickly and efficiently.



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