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2 results about "Modulation transformer" patented technology

A modulation transformer is an audio-frequency transformer that forms a major part of most AM transmitters. The primary winding of a modulation transformer is fed by an audio amplifier that has about 1/2 of the rated input power of the transmitter's final amplifier stage. The secondary winding is in series with the power supply of that final radio-frequency amplifier stage, thereby allowing the audio signal to lower and raise the instantaneous DC supply voltage of the power amplifier (PA) tube or transistor. Considering that the PA device is operated as a class-C amplifier, i.e. as a switch, the modulation transformer is responsible for the amplitude modulation (AM) of the transmitter.

A photovoltaic time series anomaly detection method of self-supervised three-domain contrast learning combined with prior modulation transformer

The application discloses a photovoltaic time sequence anomaly detection method of self-supervised three-domain contrast learning combined with prior modulation Transformer, and comprises the following steps: data preprocessing and window division; three-domain contrast learning and anomaly screening; point-level fine detection of prior modulation Transformer; multi-granularity anomaly fusion and output; the application constructs a multi-stage and hierarchical cooperative detection mechanism to realize accurate positioning of anomalies.
Owner:NANJING UNIV OF INFORMATION SCI & TECH

A camouflage target detection method and system based on a dual-domain fusion enhanced network

The application discloses a camouflage target detection method and system based on a dual-domain fusion enhanced network, and relates to the technical field of target detection.The application captures key difference features of a frequency domain amplitude spectrum and a phase spectrum by combining spatial domain and frequency domain nonlinear mapping through a nonlinear dual-domain fusion module, solves the problem of performance decline in low-contrast scenes and the like in dependence on an RGB spatial domain, and improves target discrimination;relying on a lightweight scale perception modulation transformer and a dual-feature fusion module, multi-scale features are extracted and aligned and fused, semantic relationships are integrated by cross attention, and the problems of detail loss and boundary blur caused by scale diversity are overcome;an upper and lower context feature enhancement module incorporates cross attention and edge auxiliary injection, accumulates multi-layer feature integration, takes into account global boundaries and local structures, effectively reduces false positives and false negatives and edge roughness, and multi-layer auxiliary supervision further strengthens robustness.
Owner:XIHUA UNIV