A watermarking technology based on wavelet coefficient tree theory was proposed.
提出了一种基于小波系数树理论的水印技术。
参考来源 - 基于小波域的数字水印算法研究This method is applied in wavelet coefficient to detect target.
之后，将其应用于小波变换后的小波系数中，进行小目标检测。
参考来源 - 复杂环境下红外小目标检测与跟踪技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
By researching the false maximum wavelet coefficient points, this paper proposes an advanced algorithm in the basis of optimum scale and a new peak-searching method.
提出了一种针对面向对象分析方法中多尺度分割的最优分割尺度计算模型，并进行了影像分割实验。
Pressure data were analyzed by wavelet transform in wavelet domain. Frequency band energy spectrum and intensity index of ISW based on wavelet coefficient were obtained.
通过基于子波的分析方法，对压力数据进行了分析，获得了基于子波系数的频带能量谱和冲击波强度指数。
The noise-extracted signal which is reconstructed by the revised wavelet coefficient could clearly reflect the time difference between incidence wave and reflection wave.
经过修正后的小波系数重构得到的信号图能够消去大部分噪声，清晰地反映入射波和反射波之间的时差。
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