EP4CGX75CF23I7N
Manufacturer | Altera |
Description | IC FPGA 290 I/O 484FBGA |
Category | Integrated Circuit |
Package | BGA-484 |
Status | New & original |
Ship From | HK/SHENZHEN |
Stocks | 10,000 |
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Description
The component “EP4CGX75CF23I7N” appears to be an FPGA (Field-Programmable Gate Array) from Intel’s Cyclone IV series. FPGAs in the Cyclone IV family offer a balance between performance, power consumption, and cost-effectiveness.
FPGAs are programmable integrated circuits that allow users to configure digital logic circuits and create custom digital designs. They consist of an array of configurable logic blocks, interconnects, and I/O (input/output) resources. The configuration of an FPGA can be modified or reprogrammed to implement different logic functions or complex digital systems.
Based on the naming convention used by Intel for their FPGA products, “EP4CGX75CF23I7N” likely represents a specific variant, speed grade, or package type details of the FPGA.
The application of the “EP4CGX75CF23I7N” FPGA would depend on its characteristics, features, and the requirements of the project or system it is being used in. Generally, FPGAs like the Cyclone IV series find applications in various fields, including:
1. Embedded systems: FPGAs are commonly used in embedded systems for their ability to provide customizable and reconfigurable hardware functionality. They are often employed in applications such as automotive electronics, industrial control systems, and robotics.
2. Communication systems: FPGAs play a crucial role in communication systems for tasks such as protocol conversion, signal processing, and data packet routing. They can be used in applications like network switches, routers, and telecommunications equipment.
3. Digital signal processing: FPGAs are well-suited for digital signal processing tasks, including audio and video processing, speech recognition, and software-defined radio. They can accelerate these computations and provide real-time processing capabilities.
4. High-performance computing: FPGAs can be utilized as co-processors alongside traditional CPUs or GPUs to accelerate specific computations in areas such as data centers, scientific computing, and financial analysis.