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| About This Site | 2022-05-21T19:52:54+02:00 | false |
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This site shares a bit of informal documentation and blog-based record keeping reflecting my day to day activities. Hopefully it's a good mix of technical and just-for-fun discussion. Professionally I am a mixed-signal circuit designer which means I compose integrated circuits mostly for sensors whose signals are then processed for interesting features. Besides my day-to-day job that I enjoy a bit of casual programming as a hobby which is now predominantly based on python which makes it easy to adapt or share code.
Currently my casually programming projects are mainly oriented towards image processing for object recognition and vectorization techniques. Basically I am trying to approximate a rasterized images using absolute geometries and polynomial colour contours such that they have infinite or vector-based precision. Besides that I self-host a variety of web-services both as an educational opportunity with the added benefit that I can enjoy more privacy than the average person. While it is a bit of effort, I feel that this is an important part of software freedom and lets me avoid malicious services that I would otherwise be subject to.
Research Interests
I have a strong appreciation for sensing systems and exploring the More-Than-More scaling for CMOS technology. The idea here is to augment traditional fabrication techniques for sensing bio-markers, particles, light and all kinds signals using electronics. More generally however I study analogue signal processing techniques in the context of all-digital systems. My main research interests currently are time-domain processing and asynchronous custom digital logic for high performance applications such as ultra-low-power medical devices and ultra-wide-band radio transceivers. In these systems we can encode information using the relative timing of clock edges e.g. pulse-width-modulation to do analogue processing using digital logic which leads to a new approach to realizing certain functions and implementations.
Time-Domain-Processing
There are always some surprising consistencies when re-imagining the representation of information. For example in time-domain systems we can realize resolve units of time with almost arbitrary precision, very often down to a KT/C equivalent limit. However some-how similar to traditional analogue systems, where the maximum dynamic range is limited by the voltage-supply, in time-domain systems this limit comes from rate at which we can make observations. For example say we have a 1 MHz pulse-width-encoded signal then we can only resolve relative timing information at 1 MHz. We could increase our dynamic range by reducing the pulse-repetition-rate but our information rate stays constant since we only double the information-per-pulse but half its rate. Comparing this again to traditional analogue with a simple RC circuit where our maximum dynamic is set by the supply voltage to KT/C ratio and this is fixed irrespective of the resistor or bandwidth of the circuit. Again we can show that this is a fundamental consequence of the equi-partition-theorum irrespective of how we represent/encode information.
The main advantage of time-domain processing is that we can exhaustively use digital logic. This is not only highly-advantageous when designing in a deep sub-nanometre technology since they are geared towards these kind of circuits but also we don't suffer from performance losses due to device parameter depredation in the same way a traditional op-amp might. In fact you can show that time-domain circuits can realize almost ideal operators for summation, integration, multiplication, and their inverses through closed-loop operation.