讨论了消除欠采样噪声的途径。
基于信息理论评价系统，优化系统设计，控制欠采样噪声。
System assessment, system optimizing designs and aliasing noise control all can be done based on information rate.
受传输带宽限制，网络视频采集系统的采样率低，欠采样噪声严重。
Signal sampling system of video communication over network usually has a low sampling rate suffering from the limited bandwidth, so aliasing noise is big problem.
欠采样噪声产生分布于整个画面的小尺寸附加像，给目标识别等应用带来困难。
The small scale artifacts generated by aliasing noise existing everywhere in an image, bring difficulties to some applications, such as target identification.
欠采样噪声产生分布于整个画面的小尺寸附加像，给目标识别等应用带来困难。
The small scale artifacts generated by aliasing noise existing everywhere in an image, bring difficulties to some applications, such as target identification.
应用推荐