👉 TFT (Temporal Field Transform) math is a mathematical framework used in signal processing and image analysis to decompose and analyze signals or images over time. It involves representing a signal in the frequency domain using a transform that captures how the signal's energy is distributed across different time intervals. This is achieved through a convolution-like operation that separates the signal into its constituent temporal components, which can then be manipulated or analyzed independently. TFT is particularly useful for tasks like denoising, compression, and feature extraction, as it allows for the isolation of specific time-frequency characteristics that are crucial for understanding and processing dynamic signals or images.
