针对在生猪音频识别中单一特征参数无法充分地表征猪声信息的问题,提出了基于梅尔倒谱系数(Mel Frequency Cepstral Coefficient,MFCC)与伽马通倒谱系数(Gammatone Frequency Cepstral Coefficient,GF-CC)的生猪音频融合特征生成方法。...
针对常规图像采样和压缩方法存在重建图像模糊问题,提出基于残差和卷积神经网络的生猪图像分块压缩感知模型RC-BCSNet(Block-based compressed sensing of pig images based on residual and convolutional networks)。RC-BCSNet是基于...