Cognitave Releases the CRE-RF I & II Video Lecture Series: A New Engineering Methodology for RF and Microwave Systems

September 16, 2026 — Maxdi Research / Cognitave Inc.

Cognitave Inc. and Maxdi Research have released the video presentation series for Cognitave RF Engineering, Parts I and II (CRE-RF I–II) on the Cognitave YouTube channel.

The twenty-chapter sequence develops RF and microwave engineering from conventional electromagnetic, wave, impedance, transmission-line, port, and scattering theory into a broader methodology for deformation-aware engineering, robustness, recoverability, graph-native execution, radar inference, and adaptive system design.

CRE-RF does not attempt to replace Maxwell’s equations, classical microwave network theory, antenna theory, or established RF design practice. Its contribution is a different engineering architecture for connecting them.

The central problem addressed by CRE-RF is that a modern RF system exists simultaneously in many representations:

physical device → geometry → electromagnetic fields → waves → ports → S-parameters → circuits → reduced models → measurements → arrays → radar observables → computational execution → engineering inference

Traditional engineering workflows routinely move among these representations, but the assumptions, reference planes, normalization, model fidelity, provenance, and information loss associated with those transformations are often handled informally.

CRE-RF makes those relationships explicit.

What is different about the CRE-RF methodology?

A foundational principle is that a representation is not the physical engineering object itself.

An impedance, a reflection coefficient, an S-parameter, a field solution, an equivalent circuit, and measured data may all describe the same device, yet they are not interchangeable merely because they are mathematically related.

CRE-RF therefore treats engineering quantities as typed representations connected by typed transformation contracts.

That leads to a series of increasingly powerful engineering ideas:

Transport before comparison.
Two RF states should not be subtracted or differentiated until reference planes, normalization, mode bases, coordinates, and representation conventions have been reconciled.

Deformation instead of isolated sensitivity.
Parameter variation is propagated across representations so that engineers can study how geometry, materials, bias, loading, frequency, temperature, or environment deform the full engineering object.

Robustness is separated from stability.
Distance to a specification boundary is not the same as dynamical stability.

Recoverability is separated from robustness.
A system may be close to a requirement boundary yet highly recoverable—or far from a boundary but lack sufficient control authority.

Events become engineering objects.
Boundary crossings, regime transitions, event order, hysteresis, model-trust changes, and control actions can be represented explicitly rather than appearing only as points on a plot.

Model fidelity becomes task dependent.
A reduced model that reproduces nominal S-parameters may still fail to reproduce derivatives, event locations, robustness margins, or recovery directions.

RF results propagate through system depth.
Element-level performance is distinguished from array response, beam response, covariance, estimator behavior, and radar task performance.

Execution becomes part of the engineering record.
In later chapters, the theory connects to EDFS—Electronics Design Flow Studio—where engineering workflows can be represented as typed executable graphs carrying kernels, authority, closure, provenance, replay, and validation information.

This progression is one reason we view CRE-RF as a substantial methodological development in contemporary RF/microwave engineering: the emphasis shifts from executing isolated simulations toward maintaining engineering meaning across representations, model depths, tools, and decisions.

CRE-RF Part I — Representational Foundations

Part I establishes the static RF engineering object:

1. The RF Engineering Object
   Representation, semantic typing, fibers, transformation contracts, and engineering closure.

2. Complex Representation as the First RF Fiber Geometry
   Phasors, impedance/admittance, reflection coefficient, Möbius transformations, and Smith geometry.

3. Electromagnetic Field Fibers
   Maxwell fields, materials, sources, boundaries, discretization, and field-to-reduced-representation projection.

4. Wave Transformations
   Propagation, forward/backward waves, reference-plane movement, modes, cutoff, polarization, and group delay.

5. Power and Impedance
   Complex power, matching, delivered power, reflection, passivity, and admissibility.

6. Distributed RF Systems
   RLGC systems, transmission lines, propagation operators, standing waves, and distributed deformation.

7. Ports as Typed Boundary Operators
   Mode basis, normalization, reference impedance, reference plane, calibration, and de-embedding.

8. Scattering as a Typed Boundary-to-Boundary Operator
   S-parameters, multiport composition, passivity, reciprocity, renormalization, and network closure.

9. RF Fiber Geometry
   Sections, transport, metrics, covariant deformation, path dependence, and holonomy.

10. The Deformed RF Object
    Jacobians, uncertainty, robustness, closure, control authority, and recoverability.

CRE-RF Part II — Dynamics, Robustness, Radar and Inference

Part II lets the Part-I object evolve:

11. RF Deformation Dynamics

12. RF Event Trajectories and Regime Transitions

13. Robustness, Basins, and Stability

14. Recoverability and Adaptive RF Control

15. Stochastic RF Deformation

16. Reduced Models and Deformation Fidelity

17. Array, Beam, and Radar Inference Deformation

18. Graph-Native EDFS Execution for Radar Systems

19. MXD-COGN Radar Inference Flow

20. Adaptive Intelligent and Neuromorphic Radar Systems

The final chapters deliberately separate RF physics, radar processing, EDFS execution, higher inference, and adaptive decision-making rather than collapsing them into a single ambiguous “AI” layer.

Watch the CRE-RF video series > Cognitave CRE-RF playlist

https://youtube.com/playlist?list=PLMPXpP9WhCis&si=F4Ftc8KeGLFiYezg

Published video sequence

1. CRE-RF-I Chapter 1 — The RF Engineering Object
   https://youtu.be/sU03lL6N4qs?is=Nvat-2TQtXgYuyVr

2. CRE-RF-I Chapter 2 — Complex Representation as the First RF Fiber Geometry https://youtu.be/MaZMyq2MVDM?si=dKfTma0MW8EQuadU

3. CRE-RF-I Chapter 3 — Electromagnetic Field Fibers https://youtu.be/bCltiICcGd8?si=PC7_LkRm1d1-9pID

4. CRE-RF-I Chapter 4 — Wave Transformations https://youtu.be/w-D4G7njh78?si=KV5oKtTJpBRpYKkX

5. CRE-RF-I Chapter 5 — Power and Impedance https://youtu.be/hSB5vYgqyjo?si=cRntBZQZ7NCB0HLf

6. CRE-RF-I Chapter 6 — Distributed RF Systems https://youtu.be/UYhsRyJQu8Y?si=ZbzAPv5A7CX7c39v

7. CRE-RF-I Chapter 7 — Ports as Typed Boundary Operators https://youtu.be/kBa91q9u52E?si=GiS24nk0mSTYebbS

8. CRE-RF-I Chapter 8 — Scattering as a Typed Boundary-to-Boundary Operator https://youtu.be/UP_SyxHBZP0?si=7GUB4jVro1G3Xiqv

9. CRE-RF-I Chapter 9 — RF Fiber Geometry https://youtu.be/ZMM1p2a47DI?si=5EdnxnC6cnHfBnTV

10. CRE-RF-I Chapter 10 — The Deformed RF Object https://youtu.be/9wQiFca-R60?si=O6kNXQx6kLSAzuqI

11. CRE-RF-II Chapter 11 — RF Deformation Dynamics https://youtu.be/oQLLsitmheY?si=P6g2T6NOUqCgLAAZ

12. CRE-RF-II Chapter 12 — RF Event Trajectories and Regime Transitions https://youtu.be/ZflzMVYuLbw

13. CRE-RF-II Chapter 13 — Robustness, Basins, and Stability

14. CRE-RF-II Chapter 14 — Recoverability and Adaptive RF Control

15. CRE-RF-II Chapter 15 — Stochastic RF Deformation

16. CRE-RF-II Chapter 16 — Reduced Models and Deformation Fidelity

17. CRE-RF-II Chapter 17 — Array, Beam, and Radar Inference Deformation

18. CRE-RF-II Chapter 18 — Graph-Native EDFS Execution for Radar Systems

19. CRE-RF-II Chapter 19 — MXD-COGN Radar Inference Flow

20. CRE-RF-II Chapter 20 — Adaptive Intelligent and Neuromorphic Radar Systems

All chapters are available through the playlist:

https://youtube.com/playlist?list=PLMPXpP9WhCis&si=F4Ftc8KeGLFiYezg

Publications and software

CRE-RF-I textbook

https://www.cognitave.com/ee-store/p/cre-rf-i

Complete CRE-RF I + II — 20 Chapters

https://www.cognitave.com/ee-store/p/cre-rf-complete

EDFS — Electronics Design Flow Studio

https://www.cognitave.com/cogn-tex4

Maxdi Research

https://www.maxdi.com/research

From theory to executable engineering — Concluding Remark

The broader significance of CRE-RF lies in its progression from a mathematical RF framework toward an executable engineering methodology within EDFS 2026 R1. CRE-RF establishes the theoretical, representational, and analytical foundation; EDFS provides the graph-native environment in which selected representations, transformations, numerical kernels, evidence contracts, and validation workflows can be made operational and traceable. Within this architecture, RF networks, ports, S-parameters, Smith and RF geometry, deformation analysis, and Python/Octave execution form the engineering foundation, while the Research edition extends the same framework toward MXD-COGN, radar, quantum, and experimental workflows.

The objective therefore extends beyond a twenty-lecture RF course or a pair of reference volumes. CRE-RF is intended to establish a continuous engineering path in which theoretical statements can be progressively transformed into representations, computational models, numerical results, measurement evidence, deformation analyses, validation records, and ultimately engineering decisions:

Theory → Representation → Model → Computation → Measurement → Deformation → Validation → Decision

This traceable continuum—from mathematical definition to executable and evidence-bearing engineering—is the central methodological proposition of CRE-RF and its principal connection to the evolving EDFS architecture.