MIMO, Always On, 3D Imaging and Computer Vision…

You can read all these articles in the latest CEVA Newsletter, if you didn’t read it first in Semiwiki! The blog describing the “Maximum Likelihood MIMO Implementation” is certainly going deep technically, as it introduce a complex Digital Signal Processing technique, Multiple Input Multiple Output (MIMO). MIMO is just like magic, as it could allow a x4 bandwidth multiplication, both for emission and reception. This DSP technique is all but trivial, but with good DSP engineer developing the right algorithm on the right piece of hardware, here a DSP core from CEVA, it’s possible to boost a base station and reach such bandwidth multiplication. The reader will discover why a linear algorithm, easy to implement, cannot fully exploit the MIMO benefits, when an optimal Maximum A Posteriori (MAP) approximation MIMO algorithm will generates high latency penalties. Finally, the non-linear MIMO receiver implementation known as Maximum Likelihood Detector (MLD), more demanding on processing than a linear receiver, will offer significantly higher bit rates for the same channel conditions. You also can find a white paper going deeper into MIMO analysis.

“Bluetooth on CEVA-TeakLite-4: it’s All about “Always-on” article will certainly enjoy the people convinced that IoT is the next big thing for the SC industry! Here is an extract from the blog written in Semiwiki about Always-on: “The Internet of Things comprises a multitude of devices, technologies and form factors, with many use cases and requirements. The CEVA-TeakLite-4 specifically targets user-centric IoT devices, where natural user interface, audio playback and voice communication represent key attributes of the device. This can include for example, voice activation, face triggering and other ‘always-on’ functionality in a smartphone, smart watch, smart home controller or wireless speakers. The ultra-low power nature of the CEVA-TeakLite-4 DSP ensures that these ‘always-on’ features consume minimal battery life. All of this functionality can run concurrently on the DSP without the need for a host CPU, reducing the die size and lowering power consumption of the overall device. Illustrating this, a real-life use case implementing Bluetooth Low Energy, always-on UI and sensor fusion on the CEVA-TeakLite-4 DSP requires less than 150K gates and consumes less than 150uW when implemented in a 28nm process.” Take a look at the CEVA Newsletter too…

Accelerating Computer Vision Applications? Thanks to CEVA’ADK for the CEVA-MM3101, image processing platform acquires new resources like gesture recognition, emotion detection and augmented reality.
Meanwhile, CEVA continues to build new resources into the libraries and examples available through the ADK. The following new kernels have recently been added to the library:

• Matrix inversion
• Feature detection: FAST9, HOG, SURF
• New filters: bilinear, bicubic
• Object detection: LBP, HAAR, SVM, ORB
• Image processing: Histogram, gamma
• Optical flow: FLT, block matching

In addition, new sample algorithms have been provided, demonstrating the capabilities of the CEVA-MM3101 for:

• Face detection and recognition
• Gesture recognition
• Palm tracking
• Augmented reality
• Object detection and tracking
• Emotion detection

You will learn in the Newsletter how the partnership between CEVA and nViso was key to develop “emotion detection”.

One of the articles part of this Newsletter was not in Semiwiki: “CEVA Targets Wearable” has been extracted from a report from the Linley Group, explaining that successful devices (to support wearable) will require processor custom designed for this application. If you go to CEVA web page, you will have the ability to download the complete report from The Linley Group, on top of reading CEVA-Newsletter.

Eric Esteve from IPNEST –

More Articles by Eric Esteve…..

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