TMS320DM6435ZDUQ4
| Parameters | |
|---|---|
| Mount | Surface Mount |
| Mounting Type | Surface Mount |
| Package / Case | 376-BBGA Exposed Pad |
| Number of Pins | 376 |
| Operating Temperature | -40°C~125°C TJ |
| Packaging | Tray |
| Series | TMS320DM643x, DaVinci™ |
| Part Status | Obsolete |
| Moisture Sensitivity Level (MSL) | 3 (168 Hours) |
| Type | Fixed Point |
| Frequency | 400MHz |
| Base Part Number | 320DM6435 |
| Interface | HPI, I2C, McASP, McBSP, UART, 10/100 Ethernet MAC |
| Max Supply Voltage | 3.63V |
| Min Supply Voltage | 1.14V |
| Data Bus Width | 32b |
| Voltage - I/O | 1.8V 3.3V |
| Non-Volatile Memory | ROM (64kB) |
| Voltage - Core | 1.05V 1.20V |
| On Chip Data RAM | 240kB |
| RoHS Status | ROHS3 Compliant |
TMS320DM6435ZDUQ4 Overview
It is a kind of electronic component that comes in a package of 376-BBGA Exposed Pad.Tray packaging is provided for it.The Fixed Point family provides a wide range of applications.The machine is mounted in the way of Surface Mount in order to facilitate its operation.By operating the device at the temperature of -40°C~125°C TJ, a normal operation is ensured.As the name implies, the analog voltage range of 1.8V 3.3V refers to the voltage that can be inserted or removed.This digital signal processor is part of the TMS320DM643x, DaVinci? series.There are 376 pins in its configuration.With its base part number of 320DM6435, many related parts can be identified.In order for the device to operate at the frequency of 400MHz, it has been designed specifically.A Surface Mount mounting method is used for its mounting.This device requires a minimum voltage of 1.14V.The maximum voltage supplied to this device amounts to 3.63V.
TMS320DM6435ZDUQ4 Features
Supplied in the 376-BBGA Exposed Pad package
TMS320DM6435ZDUQ4 Applications
There are a lot of Texas Instruments TMS320DM6435ZDUQ4 DSP applications.
- Vibration signal processing
- Finite impulse response digital filters
- TVs
- Radio detection and rangin systems
- Remote sensing image processing technology
- Computer vision technology
- Financial signals
- Image compression
- Spectral density estimation
- Control systems
