| 1. | Lossless compression algorithm for medical image based on integer wavelet transform and dpcm
与整数小波变换结合的医学图像无损压缩算法 |
| 2. | Context modeling is a key point in compression algorithm designing
Context模型是无损压缩算法设计中关键部分，它对算法压缩性能至关重要。 |
| 3. | Research on image lossless compression method based on adaptive bit - level arithmetic coding
基于二值自适应算术编码的图像无损压缩算法研究 |
| 4. | Information technology - procedure for the registration of algorithms for the lossless compression of data
信息技术.数据无损压缩算法的登记程序 |
| 5. | Information technology - procedure for the registration of algorithms for the lossless compression of data
信息技术.数据无损压缩算法的登记规程 |
| 6. | At last , according to the significant spectral correlation of structure within the hyperspectral images , we propose a hyperspectral image lossless compression algorithm based on classification and prediction
最后根据高光谱图像谱间的结构相关性,提出一种基于分类预测的高光谱图像无损压缩算法。 |
| 7. | According to information theory , we conclude that lossless compression of radar data could n ' t obtain high compression ratio . this point has been verified by the results of the experiments
本文运用信息论的有关理论，得出了雷达回波的无损压缩算法不可能获得高的压缩比的结论并且实验的结果也验证了结论是正确的。 |
| 8. | 3 . tracking algorithm for curves , including the method for gray threshold combining space information , lag structure which was used to compress well - logging data during compressing and a progressive - completing method for curves tracing
3 .曲线跟踪算法,包括结合空间分布信息的大津阈值方法、基于行程编码的图像无损压缩算法和逐步完成的曲线跟踪方法。 |
| 9. | The experimental results show that the compressed average bit is 8 . 3674 , 1 . 2442 bits less than the original entropy , and the efficiency of rice coding achieves 98 . 81 % . and the algorithm also has the advantage of real - time encoding in the system
经过无损压缩算法处理,管道泄漏信号压缩后的平均位数达到8 . 3674bits ,比原始信息熵降低了1 . 2442bits ; rice编码的编码效率达到了98 . 81 % 。 |
| 10. | 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
根据管道泄漏信号局部区域受到突发干扰噪声影响程度的不同,本文进一步优化均匀量化器,将其改进为自适应量化器,提出了基于突发干扰噪声的自适应量化近无损压缩算法。 |
