Peak Power Detection Using Sliding Window and Preliminary Action

The patent applies preliminary action by pre-establishing a sliding window structure and pre-calculating power values within the window. The method pre-defines the comparison range and prepares the computational framework in advance, so that when peak power detection is needed, the system only needs to perform comparisons within the pre-established window rather than analyzing the entire signal from scratch. This preliminary preparation significantly reduces the computational burden while maintaining detection accuracy.

The patent segments the signal analysis into a sliding window structure, dividing the continuous signal into discrete segments of fixed length. Within each window, power values are calculated and compared separately. This segmentation transforms the problem from analyzing the entire signal at once to analyzing manageable segments, reducing the number of comparisons needed while maintaining peak detection accuracy through the sliding window mechanism that ensures overlapping segments capture all potential peaks.

The sliding window structure performs preliminary action by pre-establishing the analysis framework and pre-calculating power values within the window before peak detection is actually needed. This preparation work is done continuously in the background, so when a peak detection query occurs, the system already has pre-computed values ready for immediate comparison, eliminating time-consuming calculations at the moment of detection.

The patent implements dynamics through the sliding window mechanism that continuously moves through the signal. The window adapts its position dynamically, always maintaining the optimal comparison range. This dynamic approach allows the system to respond to changing signal conditions in real-time while maintaining consistent detection performance, as the window automatically adjusts to capture relevant signal segments without requiring recalibration or reconfiguration.