Cache coherency- Risks and Resolution in case of Direct Memory Access (DMA)
Cache coherence maintains consistency between cached data copies when multiple devices access shared memory. This blog explores the need for cache coherency, coherence protocols like snooping, and fixing incoherence issues in multicore systems like ensuring descriptor writebacks for proper DMA transfers with EMAC.
Digitizing Supply Chains: How Mobile Solutions Drive Efficiency and Revenue
The logistics and supply chain industries are increasingly using digital mobility solutions to streamline operations, gain real-time data insights, and reduce environmental impact. By optimizing inventory management systems, businesses can achieve faster delivery times, reach customers more efficiently, reduce lead times, minimize errors, and better manage inventory.
Understanding Risks in Over the Air Firmware Upgrade for Automotives Including EVs
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.
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.
Understanding Alexa Skills and its Integration with Home Appliances
In recent times, millions of devices are now Alexa enabled, and many embedded devices are in development and started supporting Alexa or Voice User Interface (VUI). Alexa skill enables a user control and customized voice base query (in other words enable us to monitor and control) cloud-enabled smart home devices such as lights, door locks, […]
Trends in WiFi Standards and Wireless Technology
WiFi Standards The first WiFi standard was defined in 1997 and is obsolete. There will hardly be any devices compatible with that standard now. The first WiFi standard was followed by WiFi 1 to WiFi 6 standards, briefly described in the table below. WiFi 7 is under development and will be available to the public […]
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.
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.
FreeRTOS Insights and Understanding the Ecosystem
What is RTOS A Real-Time Operating System (RTOS) responds to inputs immediately, in real-time. It is where timely action on the system inputs is of utmost importance. Examples include live broadcasts of a sports event, weapons systems, and aircraft control systems. Real-time systems are typically categorized as hard real-time systems or soft real-time systems. In a […]
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.
