Nowadays, every car equipped with an infotainment system is required to upgrade its firmware to stay bug-free and feature-rich. Due to advancements in automotive industries, especially in EVs, firmware upgrades are possible over the air. However, providing such features over the air may expose an automotive’s end infotainment clusters and electronic components to various kinds of threats.

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.

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

WiFi Standards The first WiFi standard was defined in 1997 and is obsolete.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

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.

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.

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

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.

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