Digital audio watermarking algorithm based on adaptive quantization 一種新的自適應量化數字音頻水印算法
The adaptive quantization in gain quantization based on bp neural network 神經網絡的增益量化中的階距自適應
Low complexity integer transform and adaptive quantization optimization 一種低復雜度整數變換及適應性量化優化
A robust image blind watermarking algorithm based on adaptive quantization step in dwt 域自適應量化步長的圖像盲水印算法
In this paper , we present a novel covert communication technique based on adaptive quantization index modulation ( aqim ) and channel coding via the comparison of several existing ones 摘要比較目前幾種信息隱藏技術,提出了一種基于自適應量化索引調制( aqim )與信道編碼實現信息隱藏通信的新方法。
According to the characteristics of pipeline leak signals that the influence degrees of burst interference noises are various in each local area , this paper optimizes the uniform quantization to be adaptable , and proposes an adaptive quantization 根據管道泄漏信號局部區域受到突發干擾噪聲影響程度的不同,本文進一步優化均勻量化器,將其改進為自適應量化器,提出了基于突發干擾噪聲的自適應量化近無損壓縮算法。
To the fixed quantization of gain , this paper proposed a scheme about gain adaptive predict and gain adaptive quantization , which brought about satisfying results . based on these results , we proposed a method of codebook search , which decreased the compute amount of g . 728 codebook search by 85 % . the more experiment of reducing the order of synthesis filter showed that , on the premise of not changing the average segmented snr , the complexity of g . 728 could be decreased by 40 % 本研究觀察了不同遞歸窗對g . 728三個濾波器的影響;針對增益的固定量化,提出了增益的自適應預測和自適應量化的方案,獲得很好的結果;以此為基礎設計的碼書搜索方法將g . 728碼書搜索計算量降低85 ;進一步進行綜合濾波器降階實驗,表明在信噪比不變的前提下, g . 728算法復雜性可以減少40 。