Suitable is the best: Least absolute deviation algorithm under high-mobility non-Gaussian noise environments.
Guan GuiLi XuFumiyuki AdachiPublished in: HMWC (2014)
Keyphrases
- experimental evaluation
- cost function
- learning algorithm
- preprocessing
- high accuracy
- computational cost
- times faster
- k means
- dynamic programming
- optimization algorithm
- detection algorithm
- recognition algorithm
- high efficiency
- matching algorithm
- noise reduction
- tree structure
- gaussian noise
- input data
- neural network
- simulated annealing
- optimal solution
- theoretical analysis
- bit rate
- non stationary
- significant improvement
- search algorithm
- data structure
- noise level
- multiscale
- similarity measure
- noise immunity
- anti noise