Analog Devices Inc. ADSP-BF522BBCZ-3A

ADSP-BF522BBCZ-3A Overview
It is a kind of electronic component that comes in a package of 208-FBGA, CSPBGA.It is provided with a packaging way of Tray.In addition to meeting a wide range of requirements, it is a member of Fixed Point.It is mounted in the direction of Surface Mount as shown in the image below.If it is operating at the temperature of -40°C~85°C TA, then it will be operating normally.In analog circuits, the analog voltage range 1.8V 2.5V 3.3V represents the voltage range that is available for input or output.As part of the Blackfin? series, this digital signal processor is included.Its uses have 208 terminations.The voltage supplied by 1.8V is used to operate it.208 component pins are present.The configuration of the device includes 208 pins.The base part number ADSP-BF522 allows identification of a wide range of related parts.This device is designed specifically to operate at frequency 400MHz.It adopts Surface Mount as its mounting way.The specific characteristics of this device can be categoriMicroprocessorsed within the Microprocessors subcategory.It is possible to supply as low a voltage as 1.7V to this device.There is a maximum voltage supply of 3.6V to this device.This device is powered by a voltage of 3.3V.There is a memory on this device that can store 132kB data.Data format and transmission speed can be configured for asynchronous serial communication on 2 UART channels.Count, measure, and measure external events using 9 timers/counters.The architecture of this processor core is Blackfin.48 I/Os are included with the device.

ADSP-BF522BBCZ-3A Features
Supplied in the 208-FBGA, CSPBGA package
Operating supply voltage of 3.3V
9 timers/counters
48 I/Os

ADSP-BF522BBCZ-3A Applications
There are a lot of Analog Devices Inc. ADSP-BF522BBCZ-3A DSP applications.

Airplanes
Speech signal processing
Finite impulse response digital filters
Seismology
Radio detection and rangin systems
Smart camera
Digital image processing
Boats
Computer vision technology
Instrument modeling