memoryless source造句
例句與造句
- This rate distortion function holds only for Gaussian memoryless sources.
- A memoryless source with a uniform distribution has zero redundancy ( and thus 100 % efficiency ), and cannot be compressed.
- For memoryless sources, this is merely the entropy of each symbol, while, in the most general case of a stochastic process, it is
- The rate of a memoryless source is simply H ( M ), since by definition there is no interdependence of the successive messages of a memoryless source.
- The rate of a memoryless source is simply H ( M ), since by definition there is no interdependence of the successive messages of a memoryless source.
- It's difficult to find memoryless source in a sentence. 用memoryless source造句挺難的
- It was found that for Gaussian memoryless sources and mean-squared error distortion, the lower bound for the bit rate of X remain the same no matter whether side information is available at the encoder or not.
- Although analytical solutions to this problem are scarce, there are upper and lower bounds to these functions including the famous Shannon lower bound ( SLB ), which in the case of squared error and memoryless sources, states that for arbitrary sources with finite differential entropy,
- Redundancy of compressed data refers to the difference between the stationary, e . g ., a memoryless source . ) Although the rate difference L ( M ^ n ) / n-r \, \ ! can be arbitrarily small as n \, \ ! increased, the actual difference L ( M ^ n )-nr \, \ !, cannot, although it can be theoretically upper-bounded by 1 in the case of finite-entropy memoryless sources.
- Redundancy of compressed data refers to the difference between the stationary, e . g ., a memoryless source . ) Although the rate difference L ( M ^ n ) / n-r \, \ ! can be arbitrarily small as n \, \ ! increased, the actual difference L ( M ^ n )-nr \, \ !, cannot, although it can be theoretically upper-bounded by 1 in the case of finite-entropy memoryless sources.