- Analog Devices' SHARC Doubles Up, Adds ARM Option
- CogniVue's "Opus" APEX Generation 3: Vision Processing With Implementation Flexibility
- Jeff Bier’s Impulse Response—What Does Semiconductor Industry Consolidation Mean for Embedded Systems Designers?
- Case Study: Independent Evaluation Enables a Development Kit to Hit a Home Run
- Cadence's Tensilica Fusion: DSP for the IoT
InsideDSP — In-depth analysis and opinion
The SHARC DSP family has long been a design staple of mid-range and high-end audio, industrial and other digital signal-processing intensive applications. With its two new series of products , Analog Devices delivers dual-core SHARC to the market for the first time. And the ADSP-SC58x devices also
June 29, 2015 | Write the first comment.
Practical computer vision (i.e. "embedded vision") is rapidly becoming a mainstream reality . Numerous processor chip and core suppliers have responded to increasing market demand with a variety of processor options. One of the first companies to target the vision processor space,
BDTI is well known for its software-related capabilities: performance- and power consumption-related benchmarking , for example, along with algorithm evaluation and development and optimization work . In such projects, BDTI frequently employs semiconductor manufacturers' evaluation boards
Jeff Bier’s Impulse Response—What Does Semiconductor Industry Consolidation Mean for Embedded Systems Designers?
The semiconductor industry has been on a head-spinning merger binge lately. NXP is acquiring Freescale. Avago is acquiring Broadcom. Intel is acquiring Altera. Much has been written about the motivations for these mergers, and about the implications for investors in the merged firms. But so far,
These days we all have smart phones. Smart watches recently received a big boost with Apple's entry. And there is much talk of smart cities, smart factories, smart homes, smart trash receptacles...there's even a smart pacifier for your baby. I'm starting to feel like the term
The "Internet of Things" (IoT), one of the hottest topics in technology today, is widely anticipated to be a notable driver of both semiconductor and software demand in coming years. Key to an understanding of the IoT opportunity, as a recent article published on the Embedded Vision
Semiconductor memory is increasing in capacity and becoming more cost-effective all the time. Yet, plenty of deeply embedded applications still exist for which every spare byte of RAM or flash memory is a precious commodity, especially those leveraging on-SoC storage versus discrete components.
Let's face it: Applications are getting more complicated. Chips are getting more complicated. And engineering teams are generally getting smaller, not larger. As a result, it's incumbent on chip vendors to provide robust, easy-to-use development kits. Design engineers rely on these kits to
It's now very clear that computer vision is becoming a mass-market technology. Modern, practical computer vision (or, "embedded vision," as I prefer to call it) is rapidly becoming essential in cars, for example, where it enables a host of valuable safety features. In smartphones,
The computer vision market is in a period of dramatic expansion. Market forecasts consolidated by Synopsys attest to the burgeoning adoption of practical computer vision (i.e. "embedded vision") technology ( Figure 1 ) in a range of high-volume products. This growth is fueled by the