In this dissertation , a image compression coding method based on wavelet transformation and vector quantization is discussed in detail 本文详细研究了基于小波变换和矢量量化的静态图像压缩编码方法。
Frequently used major coding methods include predical code , transform code , vectol quantization , wavelet transform code , fractal code , ect 常见的主要编码方法有预测编码、变换编码、矢量量化编码、小波编码、分形编码等等。
Finally , the paper works are summarized , and some farther research suggestions regarding vq and the swarm intelligence algorithm are provided 最后对全文的工作进行了总结,对矢量量化技术和群体智能算法的进一步研究进行了展望。
As an efficient data compression technique , vector quantizaton is known for its low bit rate , simple decoding and minor distortion 矢量量化是一种高效的数据压缩技术，以压缩比大、解码简单和失真较小著称，已被广泛应用于图像和语音压缩领域。
Moreover , a predictive phase vector quantizer is proposed in this thesis based on the above method . the synthesis speech is slightly improved for female speakers 此外,本文在此基础上提出了一种相位预测式矢量量化方案,使得女声的语音合成质量有所改进。
A novel fuzzy clustering algorithm named progressive constructive fuzzy clustering ( pcfc ) was presented , which was used in the application of image compression 摘要为了设计最化码书，提出了一种新的渐进构造模糊聚类( pcfc )算法，并将其应用到图像的矢量量化中。
At first , the error model of the vector quantization , watermarking embedding and the noisy channel were established and further the simplified model was given 为了用蚁群算法进行优化，首先建立了矢量量化、水印嵌入及通过噪声通道的误差模型，并给出了简化模型。
The matching of the templates designs two kinds of solutions to solve it . dynamic time warping technique and vector quantization techniques are used in detecting real - time data 本文为检出处理采用了两种方案,便于实时处理的动态时间规整和聚类的矢量量化技术。
On the basis of deeply studying the melp algorithm , the paper will at last give an improved melp algorithm which can work at the rate of 800b / s 在这个基础上,结合矢量量化技术,对现有melp编码算法作了一些改动。本文将提出一种改进的melp算法,以3帧为单位组成超帧。
The concept of mac ( minimum average complexity ) is proposed first , and the calculation method is given according to the entropy formula 摘要首先提出了“平均复杂度”的概念，然后由信息熵公式给出了最小平均复杂度的计算方法，并以此为准则构造音频数据的矢量量化树。
