Blogs - Embedded Software

December 16, 2022

Dive into Smart World with i.MX9 Processor

To achieve the goal of 50 billion connected devices by 2025, we need a strong infrastructure with the right balance of technologies to provide a distinctive and productive experience for customers. The end user could be an individual or a system, such as a smart home management system that improves the security, energy efficiency, and productivity of an entire system.

Blog
May 18, 2022

Understanding Alexa Skills and its Integration with Home Appliances

In recent times, millions of devices are now Alexa enabled, and many embedded devices are

Blog
February 21, 2022

Trends in WiFi Standards and Wireless Technology

WiFi Standards The first WiFi standard was defined in 1997 and is obsolete. There will

Blog
January 25, 2022

Understanding the Dolby Digital Decoder (AC3) Technology

The Audio Encoders and Decoders are basically compression algorithms for multichannel audio, meant for storing/streaming music and the audio part of movies, with lesser storage place/bandwidth than the original content. Dolby Digital Decoder is one such algorithm developed by Dolby Digital Laboratories. The Encoders are almost, always used at the recording end in the studios, where the sound/music is created, to encode/compress the sound. The Decoders are generally present at the infotainment end, like home theater systems and car infotainment systems. The article here, describes the basic building blocks of the Dolby Digital (AC3) Decoder algorithm.

Blog
October 22, 2021

Real-Time Advanced Debugging using Code Composer Studio

Texas Instrument processors are used across the globe. Equally active are its debuggers. Therefore, using Code Composer Studio and implementing a suitable debugging technique might help you save your debugging time.

Blog
October 19, 2021

FreeRTOS Insights and Understanding the Ecosystem

What is RTOS A Real-Time Operating System (RTOS) responds to inputs immediately, in real-time. It

Blog
October 15, 2021

Building Intelligent Audio Systems- Audio Feature Extraction using Machine Learning

Given the recent trends in machine learning and deep learning, we have tried to give a high-level overview of how digital signal processing, machine learning, and deep learning algorithms can go hand-in-hand to categorize or draw inferences from audio signals. Audio-specific neural network models can also be built using signal processing, machine learning, and deep learning (neural networks) algorithms. In this blog will see how to build Intelligent Audio Systems, Audio Feature Extraction using Machine Learning.

Blog
July 26, 2021

Things you need to know before migrating Windows CE applications to Windows 10 IoT

In the last few years, the embedded systems we use have undergone a massive transformation

Blog
March 4, 2021

High-Speed PCB Design- Layer Stack-Up, Material Selection, and Via Types

This blog describes practical guidelines for High-Speed embedded hardware designers to enhance technical skills further

Blog

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