References and Resources
The RF SCYTHE is built on Tall Broad Shoulders
NumPy
Harris, C. R., Millman, K. J., van der Walt, S. J., et al. (2020). Array programming with NumPy. Nature, 585(7825), 357–362. https://doi.org/10.1038/s41586-020-2649-2
Quantum Mechanics & Quantum Signal Processing — Works Cited
Quantum Mechanics Fundamentals
Griffiths, D. J., & Schroeter, D. F. (2018). Introduction to Quantum Mechanics (3rd ed.). Cambridge University Press.
Quantum Computation and Information
Nielsen, M. A., & Chuang, I. L. (2010). Quantum Computation and Quantum Information (10th Anniversary ed.). Cambridge University Press.
Quantum Signal Processing
Low, G. H., & Chuang, I. L. (2017). Optimal Hamiltonian Simulation by Quantum Signal Processing. Physical Review Letters, 118(1), 010501. https://doi.org/10.1103/PhysRevLett.118.010501
Quantum Sensing and RF Applications
Degen, C. L., Reinhard, F., & Cappellaro, P. (2017). Quantum sensing. Reviews of Modern Physics, 89(3), 035002. https://doi.org/10.1103/RevModPhys.89.035002
Quantum Machine Learning
Schuld, M., Sinayskiy, I., & Petruccione, F. (2015). An introduction to quantum machine learning. Contemporary Physics, 56(2), 172–185. https://doi.org/10.1080/00107514.2014.964942
Quantum Algorithms for Signal Processing
Gilyén, A., Su, Y., Low, G. H., & Wiebe, N. (2019). Quantum Singular Value Transformation and Beyond: Exponential Improvements for Quantum Matrix Arithmetics. Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing (STOC 2019), 193–204. https://doi.org/10.1145/3313276.3316366
Quantum-inspired Classical Algorithms
Tang, E. (2019). A quantum-inspired classical algorithm for recommendation systems. Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing (STOC 2019), 217–228. https://doi.org/10.1145/3313276.3316310
Quantum Fourier Transform and Signal Analysis
Coppersmith, D. (1994). An approximate Fourier transform useful in quantum factoring. IBM Research Report RC19642.
Quantum Electrodynamics and RF
Cohen-Tannoudji, C., Dupont-Roc, J., & Grynberg, G. (1997). Photons and Atoms: Introduction to Quantum Electrodynamics. Wiley.
Quantum Optics and Measurement
Wiseman, H. M., & Milburn, G. J. (2009). Quantum Measurement and Control. Cambridge University Press.
Python Standard Library
Python Software Foundation. (2025). Python 3 Standard Library Documentation. https://docs.python.org/3/library/
Dataclasses (Python 3.7+)
van Rossum, G., & Warsaw, B. (2018). PEP 557 – Data Classes. Python Enhancement Proposals. https://peps.python.org/pep-0557/
Logging (Python Standard Library)
Python Software Foundation. (2025). logging — Logging facility for Python. https://docs.python.org/3/library/logging.html
Threading (Python Standard Library)
Python Software Foundation. (2025). threading — Thread-based parallelism. https://docs.python.org/3/library/threading.html
Signal Processing and RF Concepts
Skolnik, M. I. (2008). Introduction to Radar Systems (3rd ed.). McGraw-Hill.
Augmented Reality and Visualization
Billinghurst, M., Clark, A., & Lee, G. (2015). A Survey of Augmented Reality. Foundations and Trends® in Human–Computer Interaction, 8(2–3), 73–272. https://doi.org/10.1561/1100000049
Google Glass Platform
Google. (2025). Glass Enterprise Edition 2 Documentation. https://developers.google.com/glass
Military RF Spectrum and Threat Assessment
U.S. Department of Defense. (2013). Electromagnetic Spectrum Strategy. https://dodcio.defense.gov/Portals/0/Documents/Spectrum/ESS.pdf
Custom/Project-Specific Modules
SignalIntelligence.core (project-internal)
GlassVisualization.core (project-internal)
JSON (JavaScript Object Notation)
Bray, T. (2017). The JavaScript Object Notation (JSON) Data Interchange Format (RFC 8259). Internet Engineering Task Force (IETF). https://www.rfc-editor.org/rfc/rfc8259
Geospatial Data and Mapping
Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2015). Geographic Information Science and Systems (4th ed.). Wiley.
Real-Time Systems and Event-Driven Programming
Kopetz, H. (2011). Real-Time Systems: Design Principles for Distributed Embedded Applications (2nd ed.). Springer.
RF Signal Triangulation and Localization
Patwari, N., Ash, J. N., Kyperountas, S., Hero, A. O., Moses, R. L., & Correal, N. S. (2005). Locating the nodes: Cooperative localization in wireless sensor networks. IEEE Signal Processing Magazine, 22(4), 54–69. https://doi.org/10.1109/MSP.2005.1458287
Machine Learning for Signal Classification
Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Springer.
Python NumPy Documentation
NumPy Developers. (2025). NumPy Reference. https://numpy.org/doc/stable/
Python Dataclasses Documentation
Python Software Foundation. (2025). dataclasses — Data Classes. https://docs.python.org/3/library/dataclasses.html
Tactical Data Visualization
Ware, C. (2019). Information Visualization: Perception for Design (4th ed.). Morgan Kaufmann.
RF Threat Detection in Military Contexts
U.S. Army Training and Doctrine Command. (2019). Electronic Warfare Operations. https://armypubs.army.mil/epubs/DR_pubs/DR_a/pdf/web/ARN20039_FM_3-12_FINAL_WEB.pdf
Threading and Concurrency in Python
Python Software Foundation. (2025). threading — Thread-based parallelism. https://docs.python.org/3/library/threading.html
Augmented Reality User Interfaces
Azuma, R. T. (1997). A Survey of Augmented Reality. Presence: Teleoperators and Virtual Environments, 6(4), 355–385. https://doi.org/10.1162/pres.1997.6.4.355
RF Signal Processing Fundamentals
Haykin, S. (2001). Communication Systems (4th ed.). Wiley.
Wireless Communications
Goldsmith, A. (2005). Wireless Communications. Cambridge University Press.
Python Multithreading and Concurrency
Beazley, D. M., & Jones, B. K. (2013). Python Cookbook (3rd ed.). O’Reilly Media.
Event-Driven Architectures
Bass, L., Clements, P., & Kazman, R. (2012). Software Architecture in Practice (3rd ed.). Addison-Wesley.
RF Localization Techniques
Gezici, S., et al. (2005). Localization via ultra-wideband radios: A look at positioning aspects for future sensor networks. IEEE Signal Processing Magazine, 22(4), 70–84. https://doi.org/10.1109/MSP.2005.1458288
Military Situational Awareness Systems
Endsley, M. R. (1995). Toward a Theory of Situation Awareness in Dynamic Systems. Human Factors, 37(1), 32–64. https://doi.org/10.1518/001872095779049543
RF Threat and Spectrum Management
ITU Radiocommunication Sector. (2012). Handbook on Spectrum Monitoring. https://www.itu.int/pub/R-HDB-23
Python JSON Module
Python Software Foundation. (2025). json — JSON encoder and decoder. https://docs.python.org/3/library/json.html
Real-Time Data Visualization
Keim, D. A., Mansmann, F., Schneidewind, J., Thomas, J., & Ziegler, H. (2008). Visual Analytics: Scope and Challenges. In Visual Data Mining (pp. 76–90). Springer.
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