Fractional Scaling Digital Signal Processing is the foundation of our business, and allows us to provide a variety of services. Find out how we can help you achieve breakthrough performance with FSDSP.
What is Fractional Scaling Digital Signal Processing?
The sNoise Research Laboratory developed and patented our innovative Fractional Scaling Digital Signal Processing (FSDSP) algorithms as a go-to, foundational, platform technology for the digital age. FSDSP allows us to develop digital signal processing (DSP) algorithms based on Fractional Calculus that enable products and services to achieve breakthrough performance.
sNRL’s advanced, patented Fractional Scaling Digital Signal Processing algorithms let you quantitatively define and shape the spectrum of any signal. Fractional Scaling Digital Signal Processing (FSDSP) uses fractional calculus, affording fractional filtering (e.g., fractional scaling, fractional phase shifting, fractional integration, or fractional differentiation). This represents more exact filtering solutions, not approximations, and demonstrably is more accurate, efficient, and performs better than conventional DSP filters.
Industries We Serve
The concepts of Fractional Scaling Digital Signal Processing, encompassing Fractional Scaling Digital Filters and their use in fractional order control systems, extends across a multitude of disciplines and industries.
- Control theory
- Information theory
- Cognitive science
- Human behavioral sciences
- Environmental sciences
- Control systems
- Mechanical engineering
- Electrical engineering
- Digital signal processing
...with numerous applications such as RADAR and SONAR Data Acquisition Systems.
Applications of sNRL
As the next generation in digital filter technology, Fractional Scaling Digital Filters may be used in FSDSP of any digital signal that represents information about a recorded, measured quantity of real-world electrical or physical phenomenon that varies with time (or position) such as, but not limited to:
Audio (e.g., sound, music, and speech)Communications
Medical data (e.g., EEG, MEG, fMRI data)
Economic data (e.g., stock market prices)
Environmental data (e.g., water level fluctuations, temperature)
Positional data (e.g., SONAR, RADAR, GPS or other sensor measurements as input to fractional order control systems or filtered utilizing Fractional Scaling Digital Filters).
Benefits of FSDSP