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TMX320C6672ACYP25

CPLD TMS320C66x Series 320C6672 1.25GHz 841-BFBGA, FCBGA


  • Manufacturer: Texas Instruments
  • Nocochips NO: 815-TMX320C6672ACYP25
  • Package: 841-BFBGA, FCBGA
  • Datasheet: -
  • Stock: 455
  • Description: CPLD TMS320C66x Series 320C6672 1.25GHz 841-BFBGA, FCBGA (Kg)

Details

Tags

Parameters
Mount Surface Mount
Mounting Type Surface Mount
Package / Case 841-BFBGA, FCBGA
Supplier Device Package 841-FCBGA (24x24)
Operating Temperature 0°C~85°C TC
Packaging Tray
Series TMS320C66x
Part Status Obsolete
Moisture Sensitivity Level (MSL) 3 (168 Hours)
Type Fixed/Floating Point
Max Operating Temperature 85°C
Min Operating Temperature 0°C
Frequency 1.25GHz
Base Part Number 320C6672
Interface EBI/EMI, Ethernet MAC, PCIe, I2C, SPI, SRIO, TSIP, UART
Voltage - I/O 1.0V 1.5V 1.8V
Non-Volatile Memory ROM (128kB)
Voltage - Core 0.9V 1.0V
On Chip Data RAM 5.1MB
Clock Rate 1.25GHz
RoHS Status Non-RoHS Compliant

TMX320C6672ACYP25 Overview


Basically, it is a type of electronic component that is available in a 841-BFBGA, FCBGA package.Packaging way Tray is provided.The fact that it belongs to the Fixed/Floating Point family means that it can be applied to a wide range of applications.Surface Mount is mounted in a manner that allows it to be moved.By operating the device at the temperature of 0°C~85°C TC, a normal operation is ensured.As the name implies, the analog voltage range of 1.0V 1.5V 1.8V refers to the voltage that can be inserted or removed.This digital signal processor is included into the TMS320C66x series.The base part number 320C6672 can be used to identify many associated parts.This device is designed specifically to operate at frequency 1.25GHz.Surface Mount is used as the mounting method.It is recommended to keep the operating temperature below 85°C.Over 0°C, the operating temperature should be maintained.

TMX320C6672ACYP25 Features


Supplied in the 841-BFBGA, FCBGA package

TMX320C6672ACYP25 Applications


There are a lot of Texas Instruments TMX320C6672ACYP25 DSP applications.

  • Machinery and equipment
  • Instrument modeling
  • Speech signal processing
  • Automatic analysis system of EEG or ECG
  • Geoscience signal processing
  • Computer vision technology
  • Infrared
  • Radio detection and rangin systems
  • Biomedical treatment
  • Signal processing for telecommunications

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