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Name: M4A3-64/32-10VNC48
Brand: Lattice Semiconductor Corporation
SKU: M4A3-64/32-10VNC48
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation M4A3-64/32-10VNC48

Part No.:: M4A3-64/32-10VNC48

Manufacturer:: Lattice Semiconductor Corporation

Package:: 48-LQFP

Datasheet:: M4A3-64/32-10VNC48.pdf

Description:: IC CPLD 64MC 10NS 48TQFP

In Stock:: 288

Quantity:: Add To Cart

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M4A3-64/32-10VNC48 Specifications

Package/Case:
48-LQFP
Packaging:
Tray
Series:
ispMACH® 4A
ProductStatus:
Not For New Designs
ProgrammableType:
In System Programmable
DelayTimetpd(1)Max:
10 ns
VoltageSupply-Internal:
3V ~ 3.6V
NumberofLogicElements/Blocks:
-
NumberofMacrocells:
64
NumberofGates:
-
NumberofI/O:
32
OperatingTemperature:
0°C ~ 70°C (TA)
MountingType:
Surface Mount

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M4A3-64/32-10VNC48 information

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Basic introduction and simple engineering application of M4A3-64/32-10VNC48

M4A3-64/32-10VNC48 is a versatile field-programmable gate array (FPGA) device commonly used in digital design projects for its high-performance computing capabilities and reconfigurable nature.

Application Scenario:

In digital signal processing (DSP) applications, M4A3-64/32-10VNC48 can be utilized to implement various algorithms, such as audio processing or image filtering, due to its parallel processing architecture and customizable logic blocks.

Project Implementation:

To implement a simple image filtering project using M4A3-64/32-10VNC48, follow these steps:

1. FPGA Configuration:

Configure the M4A3-64/32-10VNC48 FPGA with the required logic design using a hardware description language (HDL), such as Verilog or VHDL. Define the input/output ports and logic blocks necessary for image processing operations.

2. Image Input:

Provide the input image data to the FPGA through suitable interfaces, such as parallel or serial communication protocols. Ensure the image data format is compatible with the FPGA input requirements.

3. Image Processing:

Implement the desired image filtering algorithm using the programmable logic resources of M4A3-64/32-10VNC48. Utilize techniques like convolution, edge detection, or noise reduction to manipulate the input image data.

4. Output Display:

Display the processed image output using appropriate display devices, such as an LCD monitor or a VGA display. Convert the processed image data into a compatible format for visualization.

5. Real-Time Interaction:

Enable real-time interaction with the image filtering system by incorporating user input controls, such as buttons or switches. Implement logic to adjust filtering parameters or switch between different processing modes dynamically.

Experiment Steps:

To conduct an experiment demonstrating the image filtering capabilities of M4A3-64/32-10VNC48, follow these steps:

1. FPGA Setup:

Connect the M4A3-64/32-10VNC48 FPGA board to a computer with appropriate programming tools and drivers installed. Ensure the FPGA board is powered on and recognized by the development environment.

2. Logic Design:

Write the Verilog or VHDL code to implement a basic image filtering algorithm, such as a simple smoothing filter or edge detection filter. Define the necessary input/output ports for image data communication.

3. Compilation:

Compile the HDL code using the FPGA synthesis tool provided by the development environment. Verify the synthesis results and resolve any synthesis errors or warnings.

4. Programming:

Program the synthesized design onto the M4A3-64/32-10VNC48 FPGA using the programming utility. Ensure the programming process completes successfully without any errors.

5. Image Input:

Provide an input image to the FPGA system through the designated input interface. Use a compatible image file format and resolution suitable for the implemented image filtering algorithm.

6. Real-Time Processing:

Observe the real-time processing of the input image data by the FPGA-based image filtering system. Evaluate the effectiveness of the implemented algorithm in modifying the image characteristics.

7. Output Display:

Display the processed image output on a connected display device. Verify the visual impact of the applied image filtering operations and compare it with the original input image.

Considerations:

When conducting the experiment, consider the following factors:

- FPGA Resource Utilization: Optimize the logic design to minimize resource usage and maximize performance efficiency.

- Input/Output Interfaces: Ensure compatibility between the FPGA interfaces and external devices for seamless data transfer and interaction.

- Algorithm Complexity: Start with simple image filtering algorithms before progressing to more complex techniques to understand the FPGA processing capabilities better.

- Performance Evaluation: Measure the processing speed and resource usage of the FPGA-based image filtering system to assess its suitability for real-world applications.

- Experiment Documentation: Record the experiment setup, methodology, and results for future reference and analysis.

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(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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