Euclidean distance decomposition to generate new 16-QAM and 64-QAM space-time trellis codes.
Pierre VilandGheorghe ZahariaJean-François HélardPublished in: PIMRC (2010)
Keyphrases
- space time
- euclidean distance
- amplitude modulation
- distance metric
- spatio temporal
- distance measure
- distance function
- video sequences
- fading channels
- similarity measure
- data points
- dimensionality reduction
- manhattan distance
- feature vectors
- mimo systems
- dynamic time warping
- low complexity
- euclidean space
- mahalanobis distance
- coding scheme
- bit error rate
- channel estimation
- combining information from multiple
- computer vision
- neural network
- error correction
- ofdm system
- physical layer
- high dimensional
- feature selection
- cosine distance
- data sets