The whole correlation - inheritance coding circuit system is designed , simulated and verified in verilog hdl on the candence systems 采用了硬件描述语言verilog对整个相关继承矢量量化图像编码电路系统在cadence系统上进行了西安理工大学硕士论文设计、仿真及时序验证。
In the second chapter , researches celp that is the theory base of g . 729a standard . celp uses speech mathematical model , linear prediction and vector quantization 729a标准的理论基础,它综合利用了语音信号的数学模型、语音信号的线性预测分析和矢量量化等技术。
Both of the optimized methods for lsp parameters and algebraic codebooks can provide the similar performance as the standard method with less search load 对分裂矢量量化码本搜索方式的优化和代数码本搜索方式的优化都在不明显降低合成语音质量的情况下有效地减少了运算量。
In order to implement copyright protection and content authentication of the vq compressed data , the research work of this thesis focuses on the vq based watermarking algorithm 为了实现对矢量量化编码多媒体数据的版权保护和内容认证,本文研究基于矢量量化的数字水印算法。
Correlation vector quantization ( vq ) is an effective technology for data compression . it is widely used in various image - coding systems because of its high compression ratio 相关矢量量化是一种有效的数据压缩技术,因其具有较高的压缩率而被广泛应用于各种图像压缩编码系统中。
By comparison with other vq algorithms such as lbg and fcm , it is demonstrated that this algorithm can get high performance both in codehook quality and computing speed 通过与其他矢量量化算法(如lbg和fcm )的比较,证明该算法不论在生成码书的质量还是在计算速度上具有很强的优势。
In this paper , firstly , based on image spatial correlation , a fast algorithm named advance predictive correlation vq ( apcvq ) is presented , which aims at reducing the average coding time 本文首先利用图像内部的空间相关性,提出一种旨在降低平均编码时间的超前预测相关矢量量化快速算法,并对其进行测试。