layer = convolution1dLayer(1,numFilters,Name="convSkip"); net = addLayers(net,layer); net = connectLayers(net,outputName,"convSkip"); net = connectLayers(net,"convSkip","add_" + i + "/in2"); else net = connectLayers(net,outputName,"add_" + i + "/in2"); end % Update...
The architecture of the CNN model consists of 7 hidden layers with three Convolution layers, one Pooling layer, Dropout layer, Flatten layer followed by Fully connected layer. The proposed architecture was achieved after trying with different numbers of layers. While the reduced number of hidden ...
关键词: 1-D convolution end-to-end convolutional neural network human activity classification micro-Doppler radar.DOI: 10.1109/LGRS.2019.2942097 年份: 2019 收藏 引用 批量引用 报错 分享 全部来源 免费下载 求助全文 国家科技图书文献中心 (权威机构) IEEEXplore IEEEXplore (全网免费下载) Semantic Scholar...
关键词: Fft Hybrid Convolution Theorem Low Communication Poisson Summation Formula 会议名称: SC '12: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis 会议时间: 25 February 2013 主办单位: IEEE ...
FFT computations can be used to solve image correlations and convolutions. Two-dimensional convolutions and correlations are used for feature extraction in image processing. For example, applications on fluid dynamics (2-D turbulences) c... RM Piedra 被引量: 0发表: 0年 Lneuro 1.0: a piece...
LEAST-SQUARES DISCONVOLUTION OF APPARENT RESISTIVITY PSEUDO-SECTIONS A fast technique for the inversion of data from resistivity tomography surveys has been developed. This technique is based on the smoothness-constrained, l... MH Loke - 《Geophysics》 被引量: 334发表: 1995年 Surface and borehole...
The EM response from any waveform can then be found by a convolution with the time derivative of the waveform. The approach does not involve inherently unstable deconvolution computations or nonunique transformations, and it is about 100 times faster than ordinary nonlinear inversion. Nonlinear model...
Distributed Arrays Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™. Version History Introduced before R2006a expand all R2020b:'cubic'method ofinterp1performs cubic convolution
Three-Dimensional And Four-Dimensional Convolutions By Coherent Optical Filtering Three-dimensional (3-D) and four-dimensional (4-D) signals can be replaced by two-dimensional (2-D) sequences of sectional images if sampling in one or two... J Hofer-Alfeis,R Bamler 被引量: 11发表: 1984...
The Global Average Pooling 1D Layer block performs downsampling by outputting the average of the time or spatial dimensions of the input.