Allicdata Part #: | 296-22221-ND |
Manufacturer Part#: |
SM320VC5416GGU16EP |
Price: | $ 40.88 |
Product Category: | Integrated Circuits (ICs) |
Manufacturer: | Texas Instruments |
Short Description: | IC DSP FIXED-POINT 144-BGA |
More Detail: | N/A |
DataSheet: | SM320VC5416GGU16EP Datasheet/PDF |
Quantity: | 166 |
1 +: | $ 37.16370 |
10 +: | $ 34.91020 |
100 +: | $ 31.30630 |
Series: | TMS320C54x |
Packaging: | Tray |
Part Status: | Active |
Type: | Fixed Point |
Interface: | McBSP |
Clock Rate: | 160MHz |
Non-Volatile Memory: | ROM (32 kB) |
On-Chip RAM: | 256kB |
Voltage - I/O: | 3.30V |
Voltage - Core: | 1.60V |
Operating Temperature: | -40°C ~ 100°C (TC) |
Mounting Type: | Surface Mount |
Package / Case: | 144-LFBGA |
Supplier Device Package: | 144-BGA MICROSTAR (12x12) |
Base Part Number: | SM320VC5416 |
Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us: sales@allicdata.com
Embedded systems are being used more and more in recent years, especially in industrial applications and automation. The ability to integrate digital processing components into a smaller, simpler, and more robust system is invaluable. One of the most versatile and powerful components available is the SM320VC5416GGU16EP. This Digital Signal Processor (DSP) offers numerous features and can be used in a wide variety of applications. In this article, we will cover the application field and working principles of the SM320VC5416GGU16EP.
Product Overview
The SM320VC5416GGU16EP is a 32-bit embedded DSP processor from NXP Semiconductors with a single processing core. It features a 16-bit fixed-point architecture and can run at up to 320 MHz. The processor also has a large on-chip memory, including 32KB of data RAM and 32KB of program memory. It also has 8KB of cache memory to help improve performance in certain applications. The processor also has a wide range of peripherals, including I/O interfaces, timers, watchdog and system reset. All of these features make it an ideal choice for embedded systems.
Application Field
The SM320VC5416GGU16EP is an ideal choice for embedded system applications. It can be used in a wide range of fields, including industrial applications, robotics, audio/video systems and telecommunications. The processor offers real-time processing, low power consumption and minimal hardware requirements, which make it a cost-effective option for these types of applications. It is also suitable for both stand-alone and networked applications due to its wide range of peripherals.
The processor is also suitable for applications that require high performance. With its 16-bit fixed-point architecture, it can achieve higher speeds than other processors. It is also able to cope with demanding real-time applications, offering quick response times and consistent performance throughout. Finally, its on-chip memory and cache help to reduce code size and improve performance.
Working Principle
The SM320VC5416GGU16EP utilizes an instruction set architecture that is similar to the Motorola 6800 family. It can execute instructions in both 8-bit and 16-bit modes. The processor also uses a modified Harvard architecture which allows instructions and data to be fetched from different sources. This allows for simultaneous instruction and data fetches.
The processor also incorporates a two-stage pipeline. This allows the processor to begin the next instruction before the current one is finished, increasing overall performance. Additionally, branch prediction is used to predict the next instruction to be executed. This further increases the processor\'s efficiency.
Conclusion
The SM320VC5416GGU16EP is an ideal choice for embedded systems. It offers a range of features and a robust architecture that makes it suitable for a wide range of applications. It is particularly well-suited for industrial applications, robotics, audio/video systems, and telecommunications. The processor is versatile, powerful, and capable of high performance, making it an excellent choice for embedded systems.
The specific data is subject to PDF, and the above content is for reference
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