Downlink SCMA Codebook Design With Low Error Rate by Maximizing Minimum Euclidean Distance of Superimposed Codewords.
Chinwei HuangBorching SuTingyi LinYenming HuangPublished in: IEEE Trans. Veh. Technol. (2022)
Keyphrases
- optical flow
- euclidean distance
- vector quantization
- codebook design
- low error
- image compression
- vector quantizer
- image sequences
- distance measure
- distance function
- similarity measure
- feature vectors
- distortion measure
- training set
- data points
- dimensionality reduction
- real valued
- competitive learning
- manhattan distance
- generalization error
- wavelet transform
- pattern recognition
- support vector
- feature selection
- neural network