CVOct 1, 2013
The complex-valued encoding for dicision-making based on aliasing data
arXiv:1310.0365v1
Originality Synthesis-oriented
AI Analysis
This work addresses data encoding for decision-making, but appears incremental as it builds on existing concepts without specifying a clear application or user group.
The paper tackles the problem of encoding multidimensional data by proposing a complex-valued channel encoding method, which results in sparse representation, increased dimensions, and greater distance between images.
It is proposed a complex valued channel encoding for multidimensional data. The basic approach contains overlapping of complex nonlinear mappings. Its development leads to sparse representation of multi-channel data, increasing their dimensions and the distance between the images.