ES Week Emphasis on Component Based Design
Howdy everyone from beautiful Salzburg/Austria,
A week full of presentations on embedded systems at ESWeek was quite a mindful. Similar to most academic conferences, there was only a few papers worth taking back home to think about. Amongst these were:
1. Keynote talk by Hermann Eul from Infineon: He presented Infineon's view on SDR and its evolution. This talk was quite inspirational. However the most interesting slide on complexity of SDR evolution was removed. I wish I could give this...
Software Defined Radio at SAMOS
Lets start off with so 'hot' SDR track held at SAMOS conference this year. The academic community relatively active in the SDR architecture domain including UMich, WisMad, Linkoping, IMEC and others all presented their views on Software Defined Radio and unveiled a part of their work. We from IMEC 'finally' made our SyncPro architecture public. You can find more about our vector synchronization processor architecture from our
Components in Audio recognition - Part 1
Audio recognition is defined as the task of recognizing a particular piece of audio (could be music, ring-tone, and speech as well), from a given sample set of audio tracks.
The Human Auditory System (HAS) is unique in that the tasks of "familiarisation" of unknown tracks, and finding "similar" tracks come naturally to us. Tunes from the not-so-recent past can still haunt the human brain many years later, when triggered by a similar tune. The way the brain stores and...
GPGPU DSP
Greetings dear readers and welcome to my inaugural blog posting! I'm new to this blogging thing so I hope there is a grace period while I get acclimated. Before I jump into the meat of this posting allow me to introduce myself and briefly discuss where I intend to go with this blog.Until quite recently I was Director of Software Engineering at a medical device startup, before resigning to strike out on my own. I have experience in a wide variety of industries, in addition...
The correct answer to the quiz of @apolin
The correct answer to the @apolin quiz can be easily explained using the following Simulink model:
In MATLAB you have to initialize the two filters:
h = dftmtx (8);
h1 = h (3, :); % The filter of the quiz
h2 = h (7, :); % The mirrored filter
The impulse responses of the filters h1, h2 are complex and the responses to a broadband random signal are also complex. The two spectrum analyzer blocks then show the PSD, typical for analytical...
Off Topic: The True Gravitational Geodesic
The third of my off topic Physics series resulting in the true gravitational geodesic equation and some surprising results about gravity.
