A Comparative Study of the Signal-to-Noise Ratios of Different Representations for Symbolic Sequences.
Jiasong WangChuangyin DangChangchuan YinPublished in: CoRR (2013)
Keyphrases
- signal to noise ratio
- symbolic representation
- noise reduction
- hidden markov models
- edge detection
- connectionist models
- long sequences
- high level
- matched filter
- variable length
- frequency response
- multiple representations
- bit error rate
- fixed length
- comparative study
- sequence alignment
- temporal patterns
- real time
- sequential patterns
- image compression
- bayesian networks
- image processing
- neural network