Chinese translation for "对数变换"
|
- log-transformation
logarithm transformation
logarithmic transformation
Related Translations:
对数接收机: logarithmic receiver 对数三角函数: logarithmic trigonometric function 对数方程: logarithmic equation 对数级数: logarithm serieslogarithmic series 对数位势: logarithmic potential 对数标准差: log-standard deviation 极对数: number of pole pairsnumber of pole-pairs 对数放大器: log amplifierlogarithm amplifierlogarithmic amplifierslogarithmic-based scale amplifier 自然对数: hyperbolic logarithmlnnaphtha logarithmnapierian logarithmnatural logarithmsnaturallogarithm
- Example Sentences:
| 1. | Based on the multiplicative speckle model , a new filtering algorithm based on wavelet transform was developed . first , the multiplicative speckle noise was changed by logarithmic transform into additive noise , which simplified the subsequent speckle suppression . the speckle suppression was carried out in the process of wavelet transform of the logarithmic transformed image
针对斑点噪声的乘性模型特点，构造了一种基于小波分析的滤波器：对sar图像进行对数变换，利用小波变换对对数图像进行滤波处理，再通过指数变换得到去噪图像。 | | 2. | Wavelet transform also has time - frequency orienting ability and realize the abruption of the balanced and unbalanced component in images . this paper , based on particularly expatiating information characters in sar image data , will investigate compression algorithm applying for sar images by analyzing embedded encoding algorithms using wavelet theory . using several standards to evaluate our method and spiht algorithm , it is clear that our method outgoes spiht algorithm
本文在对sar图像数据的信息特征进行了详细阐述的基础上，利用小波理论分析近年来比较流行嵌入式压缩编码方法，来研究适用于sar图像的压缩方法，取得以下研究成果： ( 1 )考虑到sar图像的动态范围比较大，而且sar图像斑点噪声模型大部分是乘性噪声，先对其进行对数变换，既可以缩小数据的动态范围，也可以把乘性噪声转变成加性噪声模型。 |
- Similar Words：
- "对数-对数坐标系统, 重对数坐标系统" Chinese translation, "对数-对数坐标纸, 重对数坐标纸" Chinese translation, "对数-直线座标图" Chinese translation, "对数（以10为底）" Chinese translation, "对数比例尺" Chinese translation, "对数变换器" Chinese translation, "对数变幂律" Chinese translation, "对数标尺" Chinese translation, "对数标尺计" Chinese translation, "对数标度" Chinese translation
|
|
|
