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figuration the noise is then modulated with a few sine waves to create a twisting road mountains and more flat plains at the highest resolutions the demo is pushing 4096 quads frame a bit more than the superfx chip on snes could handle if you are interested in more details the code is available on github the future with tree shaking reducing the impact of rarely used code it could be fun to add a few more features to simplex noise js in the future a few ideas that come to mind are noise with a controllable period aka tileable noise noise in 1d more random noise using a better hash function like xxhash comments tool to apply wood textures to 3d prints by jonas wagner 2021 10 23 tweet share on facebook test the 3d print texturizer a little while ago i came across an interesting post on reddit on how a wood displacement map can enhance the look of 3d prints just a bit before i also played with the fuzzy skin feature in prusa slicer 2 4 that made me wonder whether the wood effect could be achieved directly in the slicer by tweaking the fuzzy skin feature i had a quick look at the prusa slicer source and it looked like it would be fairly easy to add to prototype the idea and gauge whether there is any interest in it i decided that it would be best to create a little web app using three js for the effect to just work i had to avoid uv maps instead i m using a basic volumetric 3d procedural wood texture derived from sine waves and a bit of noise preliminary results to test the process i designed and printed a very simple phone stand and a 3d benchy using polymaker polywood filament benchy and phone stand on the prusa mini the phone stand lit by the sun known issues when processing stl files i first tesselate the geometry and then perform the displacement mapping luckily there is a simple tesselator built into three js which i could use unfortunately it creates t juction when running out of iterations the displacement mapping can also lead to self intersections i also included a process for directly modifying g code to test how this process could work when integrated into the slicer when processing g code i simply look for the perimeter comments inserted by prusa slicer and modify the g1 movement commands moves are currently not sub divided so the tool is far from perfect but i m quite happy with the results i got from it so far possible future work if there is enough interest in texturing features like this i think it would be pretty cool to integrate them directly into the slicer obviously the wood effect isn t the only pattern that could be achieved with this approach playing with different textures could definitely be fun as well comments swirly bokeh lens hood 3d printed by jonas wagner 2021 09 19 tweet share on facebook photo taken with the 3d printed swirly lens hood i enjoy the swirly blur in the out of focus regions that certain lenses like the historic petzval produce this effect is also known is swirly bokeh just not quite enough to own such a lens myself yet instead i ve chosen to emulate it by 3d printing a special lens hood for my sony fe 55 1 8 lens how to get swirly bokeh with a lens hood a similar effect to the one produced by these old lenses can be achieved using a lenshood that restricts the paths light can take into the lens the swirly effect is essentially created by the opening of the lens hood being to small this creates mechanical vignetting also known as cat s eye bokeh blocking part of the light from hitting the sensor the light coming from the left yellow orange is partially blocked by the lens hood black before hitting the lens blue and finally the sensor on the right black in most lenses that produce this effect the vignetting happens somewhere inside the lens but the effect it has is similar 3d printing a swirly bokeh lens hood to test out how well this works in practice i modelled such a restrictive lens hood in freecad preview of the 3d print finished product definitely not the cleanest print but at a material cost of about 20 cents eu us and a print time of about 15 minutes it s well worth it results crop of the top right corner of some city lights at night want to make your own i ve thrown the source files up in a github repo for you to use jwagner swirly lens hoods with that said i m a very inexperienced cad user and in this case didn t even try to create something clean if you can you might be better of just remodelling it to fit your own lens rather than trying to adapt it comments procedural lamp shades for 3d printing by jonas wagner 2021 08 22 tweet share on facebook play with generating lamp shades i didn t have any lamp shades in my appartment since moving out from my parents place i ve decided to change that and have some fun while doing it by building a generator for lamp shades how it works in order to test my setup with three js i ve started by generating n gons a hexagon in this example in order to make the result a bit more visually appealing i then modulated the distance from the center radius of each vertex using a sine wave this results in some interesting shapes due to aliasing to move into the third dimension i extrude the shape and shift the phase of the sine wave a bit in order to twist the resulting shape 3d printed results here is what one of the models looks like in the real world 3d printed in vase mode as a single spiral of extruded plastic out of petg using a 0 8mm nozzle comments i made myself a guitar tuner by jonas wagner 2020 04 20 tweet share on facebook i first learned about the fourier transform at about the same time i started to play guitar so obviously the first idea that came to my mind at that time was to build a tuner to tune my new guitar while i eventually got it to work the accuracy was terrible so it never ended up seeing the light of the day try the chromatic tuner fast forward a bit over a decade it s 2020 and we are fighting a global pandemic using social distancing i obviously tried to find ways to directly address the issue with code but in the end there is only so much that can be done on that front and a lot of really clever people on it already so rather than coming up with another well intended but flawed design of a mechanical ventilator i decided to revisit this old project of mine so what s in it the tuner has been built with a whole lot of web tech like getusermedia to access the microphone webaudio to get access to the audio data from the microphone as well as web workers to make it a bit faster framework wise i used react and typescript with that out of the way the rest of the article will focus on the algorithm that makes the whole thing tick disclaimer in the following sections i will oversimplify a lot of things for the sake of accessibility and brevity if you already have a solid understanding of subject please excuse my oversimplifications if you don t keep in mind that there is a lot more to learn and understand than what i will touch on in this description if you want to go deeper i highly recommend reading the papers by philip mcleod et al mentioned at the end they formed the basis of this tuner going beyond the fourier transform initially i decided to resume this project from where i stopped years ago by doing a straight fourier transform on the input and then selecting the first significant peak by magnitude not quite up to speed with the fourier transform but what is the fourier transform a visual introduction is a video beautifully illustrating it the naive spectrum approach of course still works as badly as it did back then in slightly oversimplified terms the frequency resolution of the discrete short time fourier transform is sample rate divided by window size so taking a realistic sample rate of 48000 hz and a comparably large window size of 8192 samples we arrive at a frequency resolution of about 6 hz the low e of a guitar in standard tuning is at 82 hz add 6 hz and you are already past f we need at least 10x that to build something resembling a tuner in practice we should aim for a resolution of approximately 1 cent or about 100x the resolution we d get from the straight fourier transform aproach there are approaches to improve the accuracy of this approach a bit in fact we ll meet one of them a bit later on in a different context for now let s focus on something a bit simpler auto correlation compared to the fourier transform autocorrelation is fairly simple to explain in essence it s a measure of how similar a signal is to a shifted version of itself this nicely reflect the frequency or rather period of the signal we are trying to determine in a bit more concrete terms it s the product of the signal and a time shifted version of the signal in simplistic javascript that could look a bit like this function autocorrelation signal const output for let lag 0 lag signal length lag for let i 0 i lag signal length i output lag signal i signal i lag return output the result will look a bit like this just by eyeballing it you can tell that it s going to be easier to find the first significant of the autocorrelation compared to the spectrum yielded by the fourier transform above our resolution also changed a bit this time we are measuring the period of the signal our resolution is limited by the sample rate of the signal so to take the example above the period of a 82 hz signal is 48000 82 or 585 samples being off by a sample we d end up at 82 19 hz not great but at least it s still an e at higher frequencies things will start to look different of course but for our purposes that s a good point to start the actual algorithm used in the tuner is based on mcleod philip wyvill geoff 2005 a smarter way to find pitch but the straight autocorrelation above is enough to understand what s going on picking a peak now that we have the graph above we ll need a robust way of determining the first significant peak in it which hopefully will also be the perceived fundamental frequency of the tone we are analysing we ll do this in two steps first we will find all the peaks after the initial zero crossing we can do this by just looping over the signal and keeping track of the highest value we ve seen and it s offset once the current value drops bellow 0 we can add it to the list of peaks and reset our maximum from this list we ll now pick the first peak which is bigger than the highest peak multiplied by some tolerance factor like 0 9 at this point we have a basic tuner it s not very robust it s not very fast or accurate but it should work improving accuracy the autocorrelation algorithm mentioned above is evaluated at descrete steps matching the samples of the audio input that limits our accuracy we can easily improve on this a bit by interpolating i use parabolic interpolation in my tuner the implementation of this is also extremely simple function parabolicpeakinterpolation a b c const denominator a 2 b c if denominator 0 return 0 return a c denominator 2 improving reliability so far everything went smoothly i had a reasonably accurate tuner for as long as i fed it a clean signal electric guitar straight into a nice interface for some reason i also wanted to get this to work using much more dirty signals from something like a smartphone microphone at this stage i spend quite a bit of time implementing and evaluating various noise reduction techniques like simple filters and variations on spectral subtraction in the end their main benefit was in being able to reduce 50 60 hz hum but the results were still miserable so after banging my head against the wall for a little while i embraced a bit of a paradigm shift and gave up on trying to find a magical filter that would give me a clean signal to feed the pitch detection algorithm onset locking i now use the brief moment right after the note has been plucked to get a decent initial guess of the note being played this is possible because the initial attack fo the note is fairly loud resulting in a decent signal to noise ratio i then use this initial guess to limit the window in which i look for the peak in the auto correlation caused by the note and combine the various measurements using a simple kalman filter i named the scheme onset locking in my code but i m certain it s not a new idea making it fast i hope the o n² loop in the auto correlation section made you cringe a bit don t do it that way both basic auto correlation and mcleods take on it after applying a bit of basic algebra can be accelerated using the fast fourier transform good bye n squared hello n log n even with the relatively slow fft implementation i m using the speed up is between 10 and 100x so the opimization is definitely worth doing in practice as well i m also using web workers to get the calculations off the main thread and while at it also parallelized the result is that the tuner runs fast enough even on my aging galaxy s7 what is left to do performance in noisy environment is still bad using the microphone of a macbook the tuner barely works if the fan spins up a bit too loudly it will fail completely i d definitely like to improve this in the future but i also have the suspicion that it won t be trivial at least without making additional assumptions about the instrument being tuned another front would be to add alternative tunings and maybe even allow custom tunings that should be relatively easy to do but i don t currently have any use for it further reading mcleod philip wyvill geoff 2005 a smarter way to find pitch mcleod philip 2008 fast accurate pitch detection tools for music analysis comments lap timer and analyser for gopro videos by jonas wagner 2019 12 31 tweet share on facebook during the past two years i ve had the occasional pleasure of riding my motorcycles on race tracks while i m still far away from being fast i really enjoy working on my riding this led me to considering different data recording and analysis solutions a bit down the line i realized that the gopro cameras i already owned actually contain a surprisingly good gps unit recording data at 18hz to make things even better gopro also documented their meta data format and even published a parser for it on github i was very curious how far i could get with that data and started to play around with it many hours and experiments later i somehow ended up with my own analysis software and filters tuned for the camera data try the lap analyser it loads processes and displays the data all in a web browser data extraction and filtering the data extraction is performed using the gopro telemetry library by juan irache for filtering the data i wrote a little library for kalman filters in typescript the kalman filter book by roger labbe helped a lot in learning about the topic i highly recommend it if you want to dive into the topic yourself in addition to the obvious line plots of speed acceleration and lean angles i also implemented a detailed map and what i call a g map lap map the lap map shows the line speeds breaking points and g forces i...
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Vary Accept-Encoding
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alt-svc h2= :443 ; ma=60
HTTP/1.1 200 OK
Date Tue, 05 Mar 2024 09:23:21 GMT
Content-Type text/html; charset=utf-8
Content-Length 15209
Connection close
last-modified Fri, 30 Dec 2022 15:28:00 GMT
vary Accept-Encoding
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CF-Cache-Status HIT
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Meta Tags

title="Jonas Wagner - 29a.ch"
charset="utf-8"
name="viewport" content="width=device-width,initial-scale=1"
name="description" content="29a.ch is the personal website of Jonas Wagner."
property="og:title" content="Jonas Wagner"
property="og:url" content="htt???/29a.ch/"
property="fb:app_id" content="829086800516580"
property="og:type" content="website"
property="og:site_name" content="29a.ch by Jonas Wagner"
name="google-site-verification" content="W2rep1XLz-hNlz_SjxvKbrzzY7Pf01lRfPCj4d_RX4U"

Load Info

page size46294
load time (s)0.142997
redirect count1
speed download106358
server IP172.67.152.180
* all occurrences of the string "http://" have been changed to "htt???/"

SEO From Wikipedia, the free encyclopedia
Search engine optimization (SEO) is the process of affecting the online visibility of a website or a web page in a web search engines unpaid results—often referred to as `natural`, `organic`, or `earned` results. In general, the earlier (or higher ranked on the search results page), and more frequently a website appears in the search results list, the more visitors it will receive from the search engines users; these visitors can then be converted into customers. SEO may target different kinds of search, including image search, video search, academic search, news search, and industry-specific vertical search engines. SEO differs from local search engine optimization in that the latter is focused on optimizing a business online presence so that its web pages will be displayed by search engines when a user enters a local search for its products or services. The former instead is more focused on national or international searches. and ADS Publishers From Wikipedia, the free encyclopedia
Advertising is an audio or visual form of marketing communication that employs an openly sponsored, non-personal message to promote or sell a product, service or idea. Sponsors of advertising are often businesses wishing to promote their products or services. Advertising is differentiated from public relations in that an advertiser pays for and has control over the message. It differs from personal selling in that the message is non-personal, i.e., not directed to a particular individual. Advertising is communicated through various mass media, including traditional media such as newspapers, magazines, television, radio, outdoor advertising or direct mail; and new media such as search results, blogs, social media, websites or text messages. The actual presentation of the message in a medium is referred to as an advertisement or `ad` for short.
Commercial ads often seek to generate increased consumption of their products or services through `branding`, which associates a product name or image with certain qualities in the minds of consumers. On the other hand, ads that intend to elicit an immediate sale are known as direct-response advertising. Non-commercial entities that advertise more than consumer products or services include political parties, interest groups, religious organizations and governmental agencies. Non-profit organizations may use free modes of persuasion, such as a public service announcement. Advertising may also be used to reassure employees or shareholders that a company is viable or successful., wall of links.


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