Acoustic Projector with Asymmetric Tensor Architecture: Cognitive Signal Synthesis and Predictive Control of Classical Electrodynamic Transducers

The current industrial standard for active loudspeaker systems relies on static Digital Signal Processing (DSP) corrections that fail to respond to the real-time physical limits of conventional hardware. This paper presents an innovative concept of an electroacoustic projector that overcomes established paradigms by integrating a classical loudspeaker into a massive concrete spherical enclosure using an asymmetric dual-stage computational architecture. The first computational domain (Cognitive Coprocessor) operates in an open loop, utilizing fractal algorithms and intensional mathematics to deconstruct and re-synthesize the input data stream at an extreme resolution (384 kHz / 32-bit). This process eliminates synthetic time-phase artifacts and matches the signal precisely to the laboratory-measured parameters of the spherical enclosure. The second computational domain (Physical Correlator) functions as a high-speed sensorimotor loop. It continuously analyzes the power supply cascade, monitors the instantaneous excursion of the speaker diaphragm, and uses thermal modeling to predict the voice coil temperature. The algorithm applies real-time inverse vectors to suppress modulation errors of the Class-D output amplifier and dynamically corrects transducer nonlinearities before they manifest acoustically. This architecture mathematically elevates the properties of Commercial Off-The-Shelf (COTS) components beyond their physical limits, providing zero cognitive fatigue.