sNoise Research Laboratory

Information is all around us, but is often invisible, either imperceptible or the signal is lost in the noise. As a research, development, and innovation laboratory, the sNoise Research Laboratory (sNRL) is leading the way to develop plug and play Fractional Calculus analytical tools which include advanced digital signal processing libraries, signal-shaping smart filters, advanced machine/deep-learning toolboxes, and algorithmic mathematical solutions for specific fields-of-use in order to better extract the signal from the noise to reveal the hidden reality of information shaping the technologies of our modern world.

sNRL is building these fractional calculus toolbox libraries based on our patented Fractional Scaling Digital Signal Processing (FSDSP) platform technology for both standalone applications (SDK, API, FSDSP Chipsets) and for direct integration into Artificial Intelligence (AI) applications to revolutionize the field of Digital Signal Processing. To use an analogy, with FSDSP, sNRL is building a fractional calculus-based AI (FC-AI) that acts like a combination of "ChatGPT" merged with "Shazam" for digital signal processing that may identify, amplify, attenuate, filter, reconstruct, denoise, or synthesize any signal with structure.