• There's an awful lot of unused data in the audio. For each .pgm, there's an equivalently-named .jpg that your browser will probably be happier with. You can see the calibration image's circle in the waveform data. Dr. Drake resolved that one quickly enough: a stylus is provided with each spacecraft. Most likely the recorder was an audio recorder with a DC blocking filter. However, it makes it really hard to determine start of frame and/or start of first scanline. It's on GitHub, perhaps I've forgotten to link it: https://github.com/ligius-/voyager-decoder. Work fast with our official CLI. To explain this, our ears will not hear much after a loud "pop', so no use putting the data there. Donating their time and expertise to the project, engineers at Colorado Video projected each Voyager slide onto a television camera lens, generating a signal that their machine converted into several seconds of sound per photo. I've selected one full trace to demonstrate my issue. Below, the circles down the left side define our chemical notations. The video above is a decoding of more than 100 images that were packed into the audio channels of a record that was placed on each of the Voyager spacecraft. • Spend more time looking at how the traces are bounded. Launched in 1977, both Voyager spacecraft began a historic journey and each carried a unique 'time capsule' along with them. There are RGB images on the record. The Voyager message is carried by a phonograph record, a 12-inch gold-plated copper disk containing sounds and images selected to portray the diversity of life and culture on Earth. There must be something my heuristic missed, since I still have a couple images with major problems. After all, in the timeframe that Voyager is expected to last, we'll orbit the galactic center a half-dozen times, and our proximity to those pulsars will change. Knowing that each image was 512 traces long, and each trace was roughly 8.3ms, I knew that each image would be about 4.2 seconds of data. It's probably better if you code your own approach. Trying an exponential "catch-up" is mildly acceptable, if you were to live on a desert island. Maybe some feature that is particular to a star of our type? These channels are then scanned for sync pulses. Yeah. I would guess that the X is where human luminous efficiency is at its peak, but I'm clueless. I've not tried to reconstruct the star image, so I've not tested this hypothesis in any way. However it cannot detect position in time, Autocorrelation - can be used to detect scanline duration, but not position. One other spoiler was that I was aware that some of the Voyager images were in color, though I'd no idea what the process of conveying that information to the Kerbals would be. They could have reduced that waste down to 50 milliseconds and made enough room for another couple dozen images, so I'm still suspicious that there's something there that I'm missing. As I said, the mechanism made sense to me, but could have been made far more effective. Unfortunately, this is reliable only 80% of the time, as the data is analog. Same thing about the burst, being so long it does not matter much. 43kHz is well above the limits of human hearing, so it is unlikely that 1970s recording equipment would have been capable of carrying that frequency. The .ppms are raw, uncompressed color images, created by combining three images into one. After spending hours trying to correct for this in code, I spent less than an hour mapping the speed variances and adding them to the code: The recording speeds up almost constantly, but there are in-frame speed variations as well. We use essential cookies to perform essential website functions, e.g. A diagram on the aluminum cover of the Golden Record explains how to play it and decode the images. It's on my list of things to try to devise a fix for. they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. I guessed that the 101101001100000000000000 under the waveform was telling me how long it would take for the audio to play one "trace" (a single stripe of pixels), but I had no clue what the units on that number were. Learn more. If nothing happens, download the GitHub extension for Visual Studio and try again. It's 0.017 seconds long (actually, 0.001667s.) I've bought a CTC dual from ebay.de a couple of weeks ago, for significantly less than 400E, shipped from Germany. Adjusting the timing mid-line gives jarring artefacts. This article doesn't answer that question directly, but it does attempt to reproduce the efforts an alien would go through to recover those images. Github hosted DEMO HERE. In Audacity, I zoomed in on waveforms, manually found where sawtooths ended and traces began in each image, and hard-coded them into my project. Some of the images are strictly practical, showing the records' finders how to decode things like human numbers and measurements of … There's an X in the middle of the second image, and all three appear to have two very faint, horizontal lines through them. The algorithm starts off strong and corrects most errors within the first 10% of the frame. The hydrogen/electron/transition thing was a spoiler, I have to admit. In other words, pixels are flying by at a rate greater than 43,000/s. These are stored as three separate images for the individual color channels. I adjusted the calculated contrast on the grayscale values such that: luminance = (soundValue / 130) + 140. David not only had gotten access to the master tapes for his anniversary vinyl edition, but happily provided me with a copy of the image data audio!!! The second "bump" is where the trace draws the brighter pixels for the bottom of the circle. moments during this process. Who will be eaten first? I recently bought a Floureon thermostat for my electrical floor heating . The next twenty minutes pretty much doomed the next two weeks of my spare time. Red is the running average. I have a background in computer graphics, so the zig-zag lines in the rectangle, just to the right of the hole, were recognizable to me. Some frames (for example 14, 15, 16) need to be overlayed on top of each other and the grayscale values transformed into R, G and B. The microUSB plug on my newly acquired EZCast / Miracast dongle came loose so, obviously, I had to take it appart. It sounds ad-hoc, but there was a method to my madness. I'm currently playing around with different programs people have made to view the pictures and I'm excited to see this one. I think I got that from the waveform, but I can't say for sure how I pieced it all together. The image format I used for the last stage was all .ppm. This can be seen as well in the image above, where the top is darkened. The Kerbals are stuck going low, low, low tech on this one. This is not handled in this implementation. The selection (the darker, bluish bit) shows the time between two maxima. The Golden Record cover glyph shows a sawtooth wave, followed by image traces. The distance between these peaks varied, so before turning each trace into pixels, I had to find the highest point that was 3000-3400 pixels ahead of "now", then condense those samples down to 384. It finally occurred to me that, if this image were lit from the bottom left, the shadowed part of the moon should be the same darkness as space behind it. There are a few problems that are visible even when looking straight at the waveform: The amplitude problem is not a big deal, it just reminds us that we are working with analog data. Voyager Golden Record images - processing consider... Decoding Voyager Golden Record images - in Java; Zoom 9002 hardcore repair - basket case September (1) August (3) July (2) May (1) February (3) January (2) 2016 (20) October (1) August (2)

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