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