editor's blog
Subscribe Now

Hello everyone, Paul Karazuba fr

Hello everyone, Paul Karazuba from QuickLogic here.

Just a few clarifications – while we are definitely less than 250µW active power for our wearable specific sensor hub designs, I think it’s only fair to point out that our ArcticLink 3 S1 sensor hub is also less than 250µW active power for Smartphone-centric sensor hubs, while maintaining KitKat compatibility.

Also, regarding Rich’s comment, I suppose this all depends on what you are trying to do — if you strapped your wearable onto a drone and are using it to control the drone, then a high data rate could be very desirable (or if you are running AR on a pair of glasses, as another example). On the other hand, if you are playing a game that uses orientation for control, then a lower data rate will likely be acceptable

Leave a Reply

featured blogs
Oct 19, 2020
Sometimes, you attend an event and it feels like you are present at the start of a new era that will change some aspect of the technology industry. Of course, things don't change overnight. One... [[ Click on the title to access the full blog on the Cadence Community si...
Oct 16, 2020
Another event popular in the tech event circuit is PCI-SIG® DevCon. While DevCon events are usually in-person around the globe, this year, like so many others events, PCI-SIG DevCon is going virtual. PCI-SIG DevCons are members-driven events that provide an opportunity to le...
Oct 16, 2020
If you said '€œYes'€ to two of the items in the title of this blog -- specifically the last two -- then read on......
Oct 16, 2020
[From the last episode: We put together many of the ideas we'€™ve been describing to show the basics of how in-memory compute works.] I'€™m going to take a sec for some commentary before we continue with the last few steps of in-memory compute. The whole point of this web...

featured video

Demo: Inuitive NU4000 SoC with ARC EV Processor Running SLAM and CNN

Sponsored by Synopsys

Autonomous vehicles, robotics, augmented and virtual reality all require simultaneous localization and mapping (SLAM) to build a map of the surroundings. Combining SLAM with a neural network engine adds intelligence, allowing the system to identify objects and make decisions. In this demo, Synopsys ARC EV processor’s vision engine (VPU) accelerates KudanSLAM algorithms by up to 40% while running object detection on its CNN engine.

Click here for more information about DesignWare ARC EV Processors for Embedded Vision

featured paper

Fundamentals of Precision ADC Noise Analysis

Sponsored by Texas Instruments

Build your knowledge of noise performance with high-resolution delta-sigma ADCs. This e-book covers types of ADC noise, how other components contribute noise to the system, and how these noise sources interact with each other.

Click here to download the whitepaper

Featured Chalk Talk

Accelerate HD Ultra-Dense Multi-Row Mezzanine Strips

Sponsored by Mouser Electronics and Samtec

Embedded applications are putting huge new demands on small connectors. Size, weight, and power constraints are combining with new signal integrity challenges due to high-speed interfaces and high-density connections, putting a crunch on connectors for embedded design. In this episode of Chalk Talk, Amelia Dalton chats with Matthew Burns of Samtec about the new generation of high-performance connectors for embedded design.

More information about Samtec AcceleRate® HD Ultra-Dense Mezzanine Strips: