TNETV2685ZUT5 Allicdata Electronics
Allicdata Part #:

TNETV2685ZUT5-ND

Manufacturer Part#:

TNETV2685ZUT5

Price: $ 42.67
Product Category:

Integrated Circuits (ICs)

Manufacturer: Texas Instruments
Short Description: DIGITAL MEDIA PROCESSOR
More Detail: N/A
DataSheet: TNETV2685ZUT5 datasheetTNETV2685ZUT5 Datasheet/PDF
Quantity: 1000
84 +: $ 38.79150
Stock 1000Can Ship Immediately
$ 42.67
Specifications
Series: TMS320DM64x, DaVinci™
Part Status: Not For New Designs
Type: Fixed Point
Interface: Host Interface, I²C, McASP, PCI, SPI, UART
Clock Rate: 720MHz
Non-Volatile Memory: ROM (64 kB)
On-Chip RAM: 576kB
Voltage - I/O: 1.8V, 3.3V
Voltage - Core: 1.20V
Operating Temperature: 0°C ~ 90°C (TC)
Description

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Digital Signal Processors (DSP) are central processing units (CPUs) designed to rapidly handle a wide range of signal processing tasks. They are typically found in many different applications ranging from consumer electronics to industrial automation or control. The TNETV2685ZUT5 is a high performance, cost efficient DSP, especially suitable for embedded applications such as digital communication and automotive, robotics, machine vision and audio applications.

The TNETV2685ZUT5 provides 32-bit applications with powerful capabilities, including real-time signal and image processing and vector processor operations, while allowing multiple-operand operations and complex program flows to be executed in parallel. This enables the processor to efficiently handle complex data, process large-scale data sets, and quickly respond to complicated user inputs such as commands, signals, and user-defined parameters. The processor also offers excellent power efficiency and an extremely wide range of instruction sets for a variety of applications.

The word "embedded" refers to a system, process, or technology that is embedded into a larger system, process, or technology, such as a computer processor or a digital signal processor. An embedded system is typically a specific custom implementation of hardware, software and hardware/software engineering. Embedded systems are inherently based on hardware linked to an operating system and specifically designed and programmed for a particular purpose. In today’s world, embedded systems are found in everything from commercial products to robotic systems.

The embedded version of the TNETV2685ZUT5 is specifically designed for the high computational performance, power efficiency and flexible programmability needed for intensive signal processing applications. It is designed to provide the kind of high-end feature sets and integrated peripherals necessary for reaching the best possible performance and cost efficiency in embedded technology. In addition, its highly efficient memory architecture gives it the ability to handle large volumes of data, as well as enable optimized performance when using both code and data.

The working principle of the TNETV2685ZUT5 is based on a parallel-processing architecture. This incorporates a number of interconnected processor cores, each of which is responsible for executing specific instructions that are part of a larger process. This enables the processor to achieve extremely high computational performance and energy efficiency by efficiently utilizing the resources of the system. The electronic devices it provides support for include ADCs, DACs, timer units, interrupt controllers, I/O devices, clock generators, and various communications system components. This makes it ideal for embedded applications that require high performance, low power consumption, and multiple peripherals.

The TNETV2685ZUT5 is an excellent choice for a range of DSP applications, as it is able to efficiently handle a wide variety of signal processing tasks. Its embedded version provides the high performance, power efficiency, and flexible programmability necessary for intensive signal processing applications in many different settings. With this processor, developers can create more powerful applications, as well as products that are both cost effective and energy efficient.

The specific data is subject to PDF, and the above content is for reference

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