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
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。
By conjoining the wavelet coefficient absolute value with the local area energy, a new image fusion algorithm is proposed based on the techniques of wavelet decomposition.
在小波分解的基础上，将小波系数绝对值与局部能量二个激活度量相结合，提出了一种新的小波图像融合算法。
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