TMS320C6413GTS500

TMS320C6413GTS500

Manufacturer No:

TMS320C6413GTS500

Manufacturer:

Texas Instruments

Description:

IC DSP FIXED-POINT 288-FCBGA

Datasheet:

Datasheet

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TMS320C6413GTS500 Specifications

  • Type
    Parameter
  • Supplier Device Package
    288-FCBGA (23x23)
  • Package / Case
    288-BBGA, FCBGA
  • Mounting Type
    Surface Mount
  • Operating Temperature
    0°C ~ 90°C (TC)
  • Voltage - Core
    1.20V
  • Voltage - I/O
    3.30V
  • On-Chip RAM
    288kB
  • Non-Volatile Memory
    External
  • Clock Rate
    500MHz
  • Interface
    Host Interface, I²C, McASP, McBSP
  • Type
    Fixed Point
  • Packaging
    Tube
  • Packaging
    Bulk
  • Product Status
    Active
  • Series
    TMS320C6410/12/13/18
The TMS320C6413GTS500 is a high-performance digital signal processor (DSP) chip developed by Texas Instruments. It offers several advantages and can be applied in various scenarios:1. High Performance: The TMS320C6413GTS500 is designed to deliver high processing power, making it suitable for demanding applications that require real-time signal processing. It has a clock speed of up to 500 MHz and can execute multiple instructions per clock cycle.2. Digital Signal Processing: This chip is specifically designed for digital signal processing tasks, such as audio and video processing, image recognition, telecommunications, and industrial control systems. It provides dedicated hardware accelerators and instructions optimized for DSP algorithms, enabling efficient processing of complex signals.3. Integrated Peripherals: The TMS320C6413GTS500 includes various integrated peripherals, such as Ethernet, USB, UART, and general-purpose I/O pins. These peripherals facilitate easy integration with external devices and enable communication with other systems.4. Low Power Consumption: Despite its high performance, the TMS320C6413GTS500 is designed to operate at low power levels. This makes it suitable for applications where power efficiency is crucial, such as portable devices, battery-powered systems, and energy-constrained environments.5. Real-Time Processing: The chip's architecture and features, such as its high clock speed and dedicated hardware accelerators, make it well-suited for real-time processing applications. It can handle time-critical tasks with low latency, ensuring timely and accurate processing of signals.Application Scenarios:1. Audio and Video Processing: The TMS320C6413GTS500 can be used in audio and video processing applications, such as audio codecs, video codecs, multimedia players, and video surveillance systems. Its high processing power and dedicated hardware accelerators enable efficient encoding, decoding, and manipulation of audio and video signals.2. Telecommunications: The chip can be applied in telecommunications systems, including voice over IP (VoIP) gateways, digital subscriber line (DSL) modems, wireless base stations, and network switches. Its DSP capabilities and integrated peripherals enable efficient signal processing and communication protocols.3. Industrial Control Systems: The TMS320C6413GTS500 can be used in industrial control systems, such as motor control, robotics, and automation. Its real-time processing capabilities and low power consumption make it suitable for controlling and monitoring various industrial processes.4. Medical Imaging: The chip can be applied in medical imaging systems, such as ultrasound machines, magnetic resonance imaging (MRI), and computed tomography (CT) scanners. Its high-performance DSP capabilities enable real-time processing and analysis of medical image data.5. Automotive Electronics: The TMS320C6413GTS500 can be used in automotive electronics applications, such as advanced driver assistance systems (ADAS), infotainment systems, and engine control units. Its high processing power and real-time capabilities enable efficient processing of sensor data and control algorithms.Overall, the TMS320C6413GTS500 offers high performance, low power consumption, and dedicated DSP capabilities, making it suitable for a wide range of applications that require real-time signal processing and efficient computation.