
Lattice Semiconductor Corporation
LC51024MV-75FN484C
LC51024MV-75FN484C ECAD Model
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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