Digital audio watermarking algorithm based on adaptive quantization 一種新的自適應(yīng)量化數(shù)字音頻水印算法
The adaptive quantization in gain quantization based on bp neural network 神經(jīng)網(wǎng)絡(luò)的增益量化中的階距自適應(yīng)
Low complexity integer transform and adaptive quantization optimization 一種低復(fù)雜度整數(shù)變換及適應(yīng)性量化優(yōu)化
A robust image blind watermarking algorithm based on adaptive quantization step in dwt 域自適應(yīng)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(shù),提出了一種基于自適應(yīng)量化索引調(diào)制( aqim )與信道編碼實(shí)現(xiàn)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(jù)管道泄漏信號局部區(qū)域受到突發(fā)干擾噪聲影響程度的不同,本文進(jìn)一步優(yōu)化均勻量化器,將其改進(jìn)為自適應(yīng)量化器,提出了基于突發(fā)干擾噪聲的自適應(yīng)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(gè)濾波器的影響;針對增益的固定量化,提出了增益的自適應(yīng)預(yù)測和自適應(yīng)量化的方案,獲得很好的結(jié)果;以此為基礎(chǔ)設(shè)計(jì)的碼書搜索方法將g . 728碼書搜索計(jì)算量降低85 ;進(jìn)一步進(jìn)行綜合濾波器降階實(shí)驗(yàn),表明在信噪比不變的前提下, g . 728算法復(fù)雜性可以減少40 。