Downlink SCMA Codebook Design with Low Error Rate by Maximizing Minimum Euclidean Distance of Superimposed Codewords.
Chinwei HuangBorching SuTingyi LinYenming HuangPublished in: CoRR (2021)
Keyphrases
- euclidean distance
- vector quantization
- codebook design
- low error
- distance measure
- image compression
- similarity measure
- vector quantizer
- distance function
- dimensionality reduction
- feature vectors
- real valued
- distortion measure
- manhattan distance
- hamming distance
- data points
- training set
- active learning
- multiresolution
- image processing
- neural network