The last two articles have explored the five steps to designing an embedded software architecture. So far, we have seen a need in modern embedded systems to separate software architecture into ...
1. In a big company, doing ASIC design verification for a WCDMA modem for 3G cellular chips. 2. Small company, doing Embedded Software Programming. Working on the design and implementation of layer 1 ...
In any system design, there are always trade-offs that need to be made. Unfortunately, there is rarely a time when you can get your cake and eat it, too! Modern embedded systems have exceptionally ...
After introducing interrupts and the foreground/background architecture, I am finally ready to tackle the concept of a Real-Time Operating System (RTOS). In this first lesson on RTOS (commonly ...
The C/C++ programming languages have long dominated the embedded systems industry, with very few other languages being able to find a foothold. While languages such as Java and Ada have certainly ...
ECEN 5613 is a 3 credit hour course and is the first course in CU's Professional Certificate in Embedded Systems. It is one of the Embedded Systems Engineering program core courses and provides an ...
This course will give you the foundation for FPGA design in Embedded Systems. You will learn what an FPGA is and how this technology was developed, how to select the best FPGA architecture for a given ...
At the intersection of hardware and software architecture, embedded systems are integral in applications including smart devices, wearables, autonomous systems, security and defense technologies, ...
The term “embedded Linux” belongs to the category of distributions used in embedded systems, i.e., specialized electronic devices, which are part of a larger system to be controlled, designed for a ...
Companies specializing in circuit board and system design-for-test (DFT) tools are pursuing a variety of strategies to serve test and debug applications based on innovations they announced over the ...
Analytics-driven embedded systems bring analytics to embedded applications, moving many of the functions found in cloud-based, big-data analytics to the source of data. This allows for more efficient ...
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