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Name: LFE2-35E-5FN672C
Brand: Lattice Semiconductor Corporation
SKU: LFE2-35E-5FN672C
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation LFE2-35E-5FN672C

Part No.:: LFE2-35E-5FN672C

Manufacturer:: Lattice Semiconductor Corporation

Package:: 672-BBGA

Datasheet:: LFE2-35E-5FN672C.pdf

Description:: IC FPGA 450 I/O 672FPBGA

In Stock:: 2038

Quantity:: Add To Cart

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LFE2-35E-5FN672C Specifications

Package/Case:
672-BBGA
Packaging:
Tray
Series:
ECP2
ProductStatus:
Active
NumberofLABs/CLBs:
4000
NumberofLogicElements/Cells:
32000
TotalRAMBits:
339968
NumberofI/O:
450
NumberofGates:
-
Voltage-Supply:
1.14V ~ 1.26V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

LFE2-35E-5FN672C this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including LFE2-35E-5FN672C price, data-sheet, in-stock availability, technical difficulties. Also. Quickly Enter the access of compare listing to find out replaceable electronic parts. If you want to retrieve comprehensive data for LFE2-35E-5FN672C to optimize the supply chain (including cross references, life-cycle, parametric, counterfeit risk, obsolescence managements forecasts), please contact to our Tech-supports team.

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LFE2-35E-5FN672C information

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LFE2-35E-5FN672C application case analysis in emerging technology fields

LFE2-35E-5FN672C is a field-programmable gate array (FPGA) device known for its high performance and versatility, making it suitable for a wide range of applications in various industries. Its advanced features and capabilities enable the development of efficient and intelligent systems.

Application Scenario:

In automotive electronics, LFE2-35E-5FN672C can be utilized to implement advanced driver assistance systems (ADAS) for enhanced vehicle safety and autonomy.

System Architecture:

To design an ADAS using LFE2-35E-5FN672C, consider the following architecture:

1. Sensor Fusion:

Integrate various sensors, such as radar, LiDAR, and cameras, to collect real-time data about the vehicle's surroundings. Utilize the FPGA's high-speed processing capabilities to perform sensor fusion and extract meaningful information for decision-making.

2. Object Detection and Recognition:

Use FPGA-based algorithms to analyze sensor data and detect objects like vehicles, pedestrians, and obstacles. Implement machine learning techniques for object recognition to differentiate between different types of objects and assess their relative positions and velocities.

3. Environment Modeling:

Construct a detailed model of the surrounding environment using the fused sensor data. This model should include information about lane markings, road geometry, traffic signs, and other relevant features to facilitate accurate navigation and decision-making.

4. Decision Making:

Based on the environment model and real-time sensor data, implement decision-making algorithms within the FPGA to determine appropriate actions, such as steering, braking, or acceleration, to ensure safe and efficient vehicle operation.

5. Human-Machine Interface:

Integrate a user interface, such as a display screen or auditory alerts, to communicate with the driver and provide feedback about the system's status and warnings if intervention is required. Utilize the FPGA's I/O capabilities to interface with the vehicle's existing communication network.

Benefits:

- LFE2-35E-5FN672C offers high-performance processing capabilities, enabling real-time analysis of sensor data and rapid decision-making in ADAS applications.

- The FPGA's flexibility allows for easy customization and adaptation to evolving requirements and integration with different sensor technologies.

- By offloading processing tasks to the FPGA, the main processor's workload is reduced, leading to overall system efficiency and improved performance.

- The inherent parallelism of FPGA architecture enables efficient execution of complex algorithms, making it ideal for computationally intensive tasks like sensor fusion and object recognition.

- Utilizing LFE2-35E-5FN672C in ADAS enhances vehicle safety by providing advanced collision avoidance and driver assistance capabilities, ultimately reducing the risk of accidents and improving road safety.

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6. What is the process for return or replacement of LFE2-35E-5FN672C?

All goods will implement Pre-Shipment Inspection (PSI), selected at random from all batches of your order to do a systematic inspection before arranging the shipment. If there is something wrong with the LFE2-35E-5FN672C we delivered, we will accept the replacement or return of the LFE2-35E-5FN672C only when all of the below conditions are fulfilled:

(1)Such as a deficiency in quantity, delivery of wrong items, and apparent external defects (breakage and rust, etc.), and we acknowledge such problems.

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(3)The PartNo is unused and only in the original unpacked packaging.

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(1)Inform us within 90 days

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