convolutional
卷积(Convolutional)技术是现代信号处理与图像识别领域的核心,尤其在深度学习中通过卷积神经网络(CNN)实现高效的数据特征提取。适用于从自动驾驶到医疗影像分析等广泛领域,成为提升系统性能的关键。掌握convolutional原理及其应用,对于电子工程师而言不仅是技术上的飞跃,更是职业发展...
convolutional 全部资料 20 份
Densely Connected Convolutional Networks
Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if ...
Guide to Convolutional Neural Networks
General paradigm in solving a computer vision problem is to represent a raw image using a more informative vector called...
Convolutional(2,1,6) Encoder and soft decision Viterbi Decoder
Convolutional(2,1,6) Encoder and soft decision Viterbi Decoder
A Novel Coded Layered Space-Time- Frequency Architecture: Convolutional Codes
A Novel Coded Layered Space-Time- Frequency Architecture: Convolutional Codes
Generate trellis of a rate-1/n recursive convolutional code
Generate trellis of a rate-1/n recursive convolutional code,生成网格图(对码率为1/n的递归卷积码)
The Viterbi decoder for convolutional codes decoder_output,survivor_state,cumulated_metric]=viterbi(
The Viterbi decoder for convolutional codes decoder_output,survivor_state,cumulated_metric]=viterbi(G,k,channel_output)