摘要 : New monotonicity properties of optimal scalar quantizers are discussed. These monotonicities reveal a globally optimal scalar quantizer structure depending on the probability mass functions and on the number of quantizer levels. B... 展开 New monotonicity properties of optimal scalar quantizers are discussed. These monotonicities reveal a globally optimal scalar quantizer structure depending on the probability mass functions and on the number of quantizer levels. By incorporating the monotone quantizer structure into a dynamic programming process, the time complexities of previous algorithms for designing globally optimal scalar quantizers can be significantly reduced for very general classes of distortion measures. 收起