Abstract: Embodiments of the present disclosure provide a spectrum sensing method, an electronic device and a storage medium. The spectrum sensing method includes: acquiring first frequency domain data of a target subband according to a predefined sensing granularity; calculating a feature of the target subband according to the first frequency domain data, wherein the feature comprises at least one of a space domain energy feature and a space domain angle fluctuation feature; and inputting the feature into a trained spectrum sensing model to obtain a spectrum sensing result for the target subband.

Abstract: Disclosed in the present application are a signal detection method and device, and a storage medium. The signal detection method comprises: acquiring at least one group of historical signal samples, wherein the historical signal samples comprise historical channel estimation values, historical received signals and historical modulation signals; and when the current channel estimation value and a received signal to be subjected to detection have been acquired, inputting the current channel estimation value and said received signal into a pre-trained preset neural network for signal detection, so as to obtain a signal estimation value of said received signal, wherein the pre-trained preset neural network is obtained by training a preset neural network by means of the at least one group of historical signal samples.

Abstract: The present invention discloses a method for promoting methane production by anaerobic digestion in a high ammonia-nitrogen habitat using a biochar with a high carbon-to-nitrogen (C/N) ratio. In this method, a biochar material prepared by dry distillation and carbonization is added to municipal sludge for medium-temperature anaerobic digestion treatment, which increases the efficiency of methane production from sludge by anaerobic digestion in different ammonia-nitrogen stress habitats, thereby realizing the utilization of sludge as resources.