本文提出了一种基于分类矢量量化器的小目标红外图像的压缩方法。
This paper presents a small target infrared image compression scheme based on classified vector quantization.
本文提出了一个基于进化算法的信道最优矢量量化器(COVQ)设计算法。
An evolutionary algorithm based channel-optimized VQ (COVQ) design algorithm on noisy channel is presented in the paper.
最后，导出了反映矢量量化器工作特性和率失真函数之间的数量关系的不等式串。
Finally, a series of inequalities is derived, which gives a quantitative relation between the performance of a vector quantizer and rate-distortion function.
本文介绍了一种图象矢量量化器的设计方法，讨论了它的性能，介绍了硬件结构。
The design of a vector quantizer for video signals is presented. The performance of the system is simulated on the computer and discussed.
该算法在给定信道状态模型和存在信道噪声的情况下，可以有效地提高矢量量化器的性能，实现了信道最优矢量量化器的设计。
The evolutionary algorithm is introduced into the design of COVQ to achieve a significant improvement of VQ performance for a given noisy channel status model.
采用该算法，在给定信道状态模型和信道噪声情况下，可有效地提高矢量量化器的性能，仿真实验结果表明该算法可获得比传统算法更优的性能增益。
The algorithm achieves a significant improvement of COVQ performance for a given noisy channel status model over other conventional VQ design methods, as confirmed by experimental results.
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。
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.
本文基于学习矢量量化（LVQ）神经网络分类器，实现了舌象分析中的舌色、苔色自动分类。
Tongue color automatic classification, based on LVQ neural networks classifier, is proposed in this paper.
误差图像进行分形矢量量化编码时，使用设计的自适应二维维纳数字滤波器，对收缩的均值图像进行滤波后，可构造好的码书。
When coding the erroneous image by fractal vector quantization, a self-adaptive 2-d wiener digital filter to filtrate the contracted mean value image, which can result into a good quality codebook.
误差图像进行分形矢量量化编码时，使用设计的自适应二维维纳数字滤波器，对收缩的均值图像进行滤波后，可构造好的码书。
When coding the erroneous image by fractal vector quantization, a self-adaptive 2-d wiener digital filter to filtrate the contracted mean value image, which can result into a good quality codebook.
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