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10kW 3-Phase 3-Level SiC Grid Tie Inverter Reference Design
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25 Functions for 25 Cents Video Series
Simple functions such as timer replacement, input/output expanders, system reset controllers and stand-alone EEPROM are common on PCBs. Low-cost, ultra-low-power MSP430™ value line microcontrollers (MCUs) offer cost savings when replacing digital and analog functions in a system. Watch this series to see how MSP430 MCUs can be used to enhance communication, pulse width modulation, systems and housekeeping, and timer functions in your next design.
25 Functions for 25 Cents: Communication Functions
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25 Functions for 25 Cents: Enhancing Analog and Digital Functions
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25 Functions for 25 Cents: Pulse Width Modulation Functions
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25 Functions for 25 Cents: System and Housekeeping Functions
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25 Functions for 25 Cents: Timer Functions
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6.6kW Bi-directional OBC_CLLLC Resonant DAB Converter
6.6kW Bi-directional OBC_CLLLC Resonant DAB Converter
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6.6kW Bi-directional OBC_Introduction and Overview
6.6kW Bi-directional On-Board Charger (OBC): Introduction and Overview
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6LoWPAN-based Wireless Network Protocols
This section covers system-level deep dive on key wireless network protocols of 6LoWPAN, RPL, and CoAP for smart grid IoT.
Absolute Encoders - save development and system costs with the DesignDRIVE Position Manager
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Achieve Precise Measurement for Smoke Detector Designs
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Adding Bluetooth to MCU-Based Systems
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Advanced rapid prototyping based on Energia libraries
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Advanced rapid prototyping based on layered Energia code
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Advanced rapid prototyping based on native USB and MultiBlink
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Advanced rapid prototyping based on NeoPixel debug using CCS
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Advanced Signal Processing on 16-bit MSP430 FRAM MCUs with Low Energy Accelerator (LEA)
This training series covers LEA or Low Energy Accelerator a vector math co-processor, the performance benchmark, and how to get started on the new MSP430FR599x. LEA is capable of performing various signal processing tasks efficiently without any CPU intervention. For example, LEA can perform a 256-point complex FFT in just ~5k cycles whereas a Cortex-M4F would take approximately 17k cycles (3.6x improvement).