This paper present a novel kind of voice hiding algorithm based on quantization coding.
本文提出了一种基于量化编码技术的语音隐藏算法。
At last, the adaptive vector quantization coding based on the DCT spectrum main orientation mentioned above is developed.
最后本文探讨了一种将基于结构特征的自适应分块与矢量量化相结合的编码方法。
This method connects fractal and vector quantization coding together, during the process of decoding, the only need to check the codebook and to transform the contrast.
由于该方法把分形和矢量量化编码结合起来，因此解码时只需查找码书，并仅进行对比度变换。
The work can be mainly divided into two aspects: lattice vector quantization in vector quantization coding for images and the lifting realization of the quincunx directional filter banks.
所做工作主要有两方面：一是矢量量化编码中的格型矢量量化，另一个是梅花型方向滤波器的提升实现。
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.
比较目前几种信息隐藏技术，提出了一种基于自适应量化索引调制(AQIM)与信道编码实现信息隐藏通信的新方法。
To tackle the derailment phenomenon consisting in side-match vector quantization image coding technology, we introduced support vector machine.
针对边缘匹配矢量量化图像编码方法存在的出轨现象，提出一种引入支持向量机的方法。
This method is based on the techniques of block truncation coding and vector quantization.
该方法是以分块截断编码技术和矢量量化技术为基础的编码方法。
This paper combines multiple description scalar quantization and SPIHT coding to get efficient multiple description image coding over wireless error-prone network.
将多描述标量量化与SPIHT编码联合起来，得到无线差错网络环境下的高效多描述图像编码。
Image compression is one of the most important key techniques in image processing. Traditional compression methods include prediction coding, transform coding and vector quantization (VQ).
图像压缩是数字图像处理中最重要的关键技术之一，传统的图像压缩方法有预测编码、变换编码和矢量量化等。
A new method for predetermination of all-zero blocks in low rate video coding is proposed, which is based on characters of discrete cosine transform (DCT) and quantization.
该文根据离散余弦变换(DCT)和量化运算的特点，提出了一种新的用于低比特率视频编码的全零块预先判别方法。
This paper analyzes the limitation of fixed gain quantization in G. 728 speech coding algorithm and proposes an adaptive quantization scheme with exact gain.
本文分析了G . 728语音编码算法增益固定量化的缺陷，设计了精确表示增益的自适应量化方案。
This paper proposed a pitch quantization method for low bit-rate speech coding systems.
本文提出了一种适用于低速率语音编码系统的基音周期量化算法。
By using the methods of table lookups, probability quantization and modified renormalization operations, a simple multiplication-free binary block arithmetic coding scheme is given.
通过使用查表、概率量化和修改的重正化操作的方法，给出了一个简单的无乘法的二值分组算术编码方案。
In this dissertation, psychoacoustic models filter Banks quantization and bit allocation predicate coding and temporary noise shaping is analyzed.
本文首先对心理声学模型、滤波器组、量化和比特分配、预测编码、时域噪声成型等技术进行研究。
The question of information coding real time compression in quantization process was studied.
研究量化过程的信息编码实时压缩问题。
Quantization Constrain Set (QCS) was widely used as priori information about the coding process in super-resolution reconstruction of compressed video.
在压缩视频的超分辨率重建中，量化约束集(QCS)作为编码模型的先验信息被广泛采用。
Since ISZW used successive integer squares as quantization thresholds, it shortened the distance between two consecutive thresholds, but increased coding times, thus reduced coding speed.
但是，由于ISZW使用连续的整数平方作为量化阈值，缩短了相邻阈值间的距离，却增加了编码的次数，降低了编码速度。
Error control can be done in any step such as prediction, transform, quantization, VLC, bitstream syntax structure, channel coding, decoding and etc.
差错控制可以在信源编码和信道编码的各个环节进行，如：预测、变换、量化、可变长编码、比特流结构、复用以及解码等。
The principle of fuzzy vector quantization (FVQ) for image coding is discussed in this paper, and an exponential fuzzy learning vector quantization algorithm (EFLVQ) is proposed.
本文分析了模糊矢量量化(FVQ)图像编码的原理，提出了一种指数型模糊学习矢量量化算法(EFLVQ)。
So this paper USES MSSVQ as the vector quantization technique for coding.
因此本文使用MSSVQ作为矢量量化技术来进行编码。
This paper presents swarm optimization algorithm based on a pair of parallel particles, which can be used to get a good codebook in the vector quantization of image coding.
本文提出一种粒子群分组并行寻优码书设计算法，应用于图像的矢量量化编码中，它可以得到性能较好的码书。
DCT coefficients were quantized through nonlinear scalar quantization and entropy coding.
变换系数采用非均匀标量量化和熵编码。
Vector Quantization (VQ) is one of popular data compression and data coding methods for speech recognition at present.
矢量量化(VQ)是语音识别中广泛应用的一种数据压缩和编码方法。
This paper presents a new strategy of particle-pair(PP) for vector quantization(VQ) in image coding.
本文给出了一种新的图像矢量量化码书的优化设计方法——粒子对算法。
Vector quantization, which has been applied successfully in the image coding, is more efficient than scale quantization.
矢量量化优于标量量化。它已成功地应用于图象的数据压缩。
To improve the compression ratio, image quality and coding efficiency, an image coding algorithm based on wavelet transform and scalar vector quantization is presented.
针对标量量化压缩比小而向量量化压缩速度慢、图像复原效果不理想等弱点，提出了基于小波变换的分类量化图像编码算法(简称“分类量化编码”)。
The image damage by transform coefficients quantization in ID-DCT transform compression coding is analysed on frequency domain and space domain. Some useful results are obtained.
本文对一维DCT变换压缩编码中变换域系数二次量化引起的图象损伤进行了频域和空间域分析，得出了一些有用的结论。
Based on the features of low coding rate video encoding, we improved the control strategy of quantization step and coding rate in the simulation program TMN - 2. 0 of H. 263 test model (TMN5).
文章根据低码率图像编码的特点，对H。263测试模型(TMN5)的仿真程序tmn- 2.0中的量化级和码率控制策略的不足之处进行了合理的改进。
Based on the features of low coding rate video encoding, we improved the control strategy of quantization step and coding rate in the simulation program TMN - 2. 0 of H. 263 test model (TMN5).
文章根据低码率图像编码的特点，对H。263测试模型(TMN5)的仿真程序tmn- 2.0中的量化级和码率控制策略的不足之处进行了合理的改进。
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