coefficient adj. 共同作用的。 n. 1.共同作用;協(xié)同因素。 2.【數(shù),物】系數(shù),率;程度。 coefficient of absorption 吸收率[系數(shù)]。 coefficient of expansion 膨脹系數(shù)。 coefficient of displacement 排水量[系數(shù)]。
And the fused image can be obtained by using the inverse wavelet transform for combined wavelet coefficients and approximation coefficients 然后以融合后的小波系數(shù)與逼近系數(shù)進行小波反變換得到融合圖像。
In semi - fragile image watermarking algorithm , a robust watermark and a fragile watermark are extracted from the third approximation coefficient of wavelet transform of the original image . the two watermarks are embedded into the third vertical and horizontal detail coefficients . when authenticating image , image can be authenticated correctly and attacked parts can be localized through comparing the original watermarks and extracted watermarks 其中,完全認證方法,利用qr分解的特性把圖像的邊緣信息嵌入到載體圖像中,算法對各種攻擊都具有很好的敏感性;內(nèi)容認證方法,從載體圖像中提取出一個脆弱水印和一個魯棒水印,并把它們重新嵌入到載體圖像中,認證時,通過兩個水印在圖像傳輸前后的變化情況來對圖像的保留價值進行評估,并準確定位受攻擊部位。
Based on signal from carbon fiber composite defects such as lamination , hole , looseners in ultrasonic testing , this paper performs wavelet packet transform on the ultrasonic signals to extract statistics of approximation coefficients and detail coefficients that contain a great part of signal energy as sample - features 摘要本文以碳纖維復(fù)合材料常見缺陷分層、孔隙、疏松的超聲波檢測缺陷信號為研究對象,對超聲波檢測信號進行小波包變換,提取包含信號絕大部分能量的近似系數(shù)波形特征及細節(jié)系數(shù)的統(tǒng)計量作為樣本的特征值。
This paper studied zero - velocity correct technology for ins , based on analysis of ins error equation , it concluded the method by which we can use ins velocity output to estimate the attitude angle error when the vehicle halted , then it contrasted two schemes of conic approximation of attitude angle error and put forward a method to decide the approximation coefficient by time range 本文首先研究了車載捷聯(lián)慣導(dǎo)系統(tǒng)( ins )的零速修正技術(shù),在分析捷聯(lián)慣導(dǎo)系統(tǒng)誤差方程特點的基礎(chǔ)上,推導(dǎo)了停車時利用ins速度輸出估計姿態(tài)誤差角的方法,并對用二次曲線擬合姿態(tài)誤差角的兩種方案作了比較,提出了按時間分段確定擬合系數(shù)的方法。
Image fusion based on wavelet transform is presented . by decomposing the images and mask signals with wavelet transform , wavelet coefficients and approximation coefficients at different scales are obtained . with the corresponding coefficients of normalized - mask signals as weighting functions , coefficients are combined in different resolution levels to reduce the effect of the seam 在基于小波變換的圖像融合中,將待融合圖像與mask信號采用小波分解,得到不同尺度下的小波系數(shù)與逼近系數(shù),以歸一化mask信號的分解系數(shù)作為加權(quán)函數(shù),在小波域的不同尺度融合對應(yīng)系數(shù),消除拼接縫的影響。