You’ve been waiting for this. I know! Well, here now is the final production prototype. The Nu v2 Multi is based on the Nu v2 capsules recently announced.
Apart from the totally redesigned Nu v2 capsules, there are a couple of improvements…
Cycfi’s new baby is coming very soon: A full-range, semi-modular pickup: Modula. If you haven’t heard about this yet, go check out the New Breed of Pickups post. These aesthetically pleasing, sleek Lo-Z multi-coil pickups were designed from the ground up based on our experience with the Nu and XR pickups. This baby sports dual-coil humbucking with dual rails design for each module and powered by a fully balanced, high headroom rail-to-rail output (5v to 18v), low-noise preamplifier.
The Nu version-2 capsule is ready to go!
Technically, this is v3 now, if you count the Neo as v1. I almost forgot the Neo and the Six-pack project, where it all started.
In my previous post, I introduced my invention, Bitstream Autocorrelation: an accurate, extremely fast and efficient, time-domain pitch detection scheme. I argued that it can be as accurate as standard Autocorrelation based pitch detection schemes, especially, or at least, for very specific source inputs, such as the guitar.
As far as I can tell, this is a new invention and has not been done like this before. And so, the past few weeks, I investigated deeper and studied its performance and characteristics on real world guitar samples. For analysis, I recorded single-note samples for all strings (6 strings for now) at various fret positions. Additionally, I also recorded various guitar audio samples incorporating techniques such as hammer-ons and pull-offs and fast right hand arpeggios. I am impressed!
Here are my findings and some direction changes and updates along the way…
So, since last year, I’ve been mulling over a unique, and extremely fast(!) Autocorrelation scheme for monophonic pitch detection. Last weekend, I finally got myself to write the proof of concept. It’s not like any autocorrelation scheme I’ve seen before. I am still wondering why no one has thought about doing it this way. As far as I can tell, this is my invention, but please tell me if there’s something I am missing and if I’m not the first to actually do it this way. I dubbed the technique Bitstream Autocorrelation.
Unlike standard Autocorrelation, my scheme works on single bit binary data streams instead of floating point (or fixed point) real numbers. Compared to standard Autocorrelation, Bitstream Autocorrelation is wicked fast. As I’ve been working on multiple channels of audio on small Microcontrollers, I’ve consistently shied away from Autocorrelation schemes for pitch detection (see my original article: Fast and Efficient Pitch Detection). Popular time-domain Autocorrelation (ACF) based pitch detection, including variants such as AMDF (Average Magnitude Difference Function), ASDF (Average Squared Difference Function), YIN, and MPM, are quite expensive in terms of CPU cycles required (ACF is basically an N² operation for N samples).
Almost immediately after I announced our Roadmap for 2018, the XRs and the current Nu modules went out of stock as people hurriedly grabbed what’s remaining in our inventory. I am very sorry that I had to turn down orders after the stocks were depleted.
Dan Rhodes sent me these nice pictures of his electric with Cycfi XR dual pickups, Cycfi Resonant Filter, Warmoth body and neck with a Decoboom pick guard, Fender locking tuners, roller bearing nut and Wilkinson tremolo.
“Looks and sounds amazing Joel! I spent some time with it last night and the tonal range of these pickups is amazing. The openness with the tone and Q maxed out is a sound I’ve never had before.”
Thank you very much for such nice appreciation. I am missing the XRs already!
But watch out. We are still actively pursuing the Modula, a new breed of pickups and the next evolutionary step for the XR. It didn’t die, it simply evolved! 🙂
So many things to do. So little time! I think Karl Steinberg was right in remarking that I have too many projects happening all at the same time. Oh well, these Modula prototypes are good to go. We worked so hard for this. These are custom made pickups. We do not have injection molded enclosures yet, so these are hand crafted, painted and buffed to perfection. This is already the third version, but it was all worth it! The next, and the most stressful step: Production!
This D string was driving my pitch detector nuts. It’s jumping from fundamental to octave and back all over the place. Can’t make up its mind! The effect is like a wacko version of Satch with a whammy pedal gone haywire.
What the hell am I talking about? Last month, I wrote about a fast and efficient software multichannel pitch detection scheme using dual peak-detectors. I needed it to be as efficient as possible, so I can run multiple detectors simultaneously using a small 32 bit microcontroller (MCU). Most of the time, it works really well, except in some cases, like that troublesome D string.
I find it amusing when people talk about the “sound” of the magnet in pickups :-). The magnet has no sound! If you don’t believe me, perhaps you might reconsider if it’s coming from Bill Lawrence. Here’s what he has to say on the matter:
When I read that ceramic magnets sound harsh and alnico magnets sound sweet, I ask myself, ” Who the hell preaches such nonsense?” There are harsh-sounding pickups with alnico magnets and sweet-sounding pickups with ceramic magnets and vice-versa! A magnet by itself has no sound, and as a part of a pickup, the magnet is simply the source to provide the magnetic field for the strings. The important factor is the design of a magnetic circuit which establishes what magnet to use.
It does not really matter which magnet you use as long as the magnetic circuit is properly designed within sensible parameters. One design consideration is the total magnetic pull the magnets exert on the strings. Too strong, and you’ll get “stratitis” (No, it’s not some kind of ailment amongst guitar players ;-). Another important factor is magnetic flux variance versus distance, following the inverse square law. Simply put, magnetic pull decreases as the square of the distance from the magnet. Hence, the choice of magnet may influence the string displacement as it vibrates over the magnetic field.