頻域卷積 的英文怎麼說
中文拼音 [bīnyùjuǎnjī]
頻域卷積
英文
frequency domain convolution-
Thus the resistance factor and vibration modes of the soil layer are obtained and used to analysis the pile response. by considering the interaction between the soil layer and the pile with boundary condition of continuity of displacement and equilibrium of force at the interface of soil layer and pile, the dynamic equilibrium equation of pile is solved and an analytical solution for the pile response in frequency domain is yielded, which is used to define complex stiffness and mobility at the level of the pile head. based on the convolution theorem and inverse fourier transform, a semi - analytical solution of velocity response in time - domain subjected to a semi - sine exciting force is given
首先通過引入勢函數方法對土體位移進行分解，從而將土體動力平衡方程解耦，求解得到了土層的振動模態和阻抗因子，然後利用該解以小應變條件下樁土接觸面上力平衡和位移連續條件來考慮樁土耦合作用，求解樁的動力平衡方程，得到了樁頂的頻域響應解析解、復剛度和速度導納，利用卷積定理和傅里葉逆變換，求得了半正弦脈沖激振力作用下樁頂速度時域響應半解析解。The prevailing approaches depend on costly time domain convolution, using the frequency domain network parameters such as s - parameter, y - parameter or abcd parameters to find analytic solution, and finding the time domain approximations by fft or even numerical inversion of laplace transform ( nitl ) if there are a large number of nonlinear devices in the network
目前盛行的方法是採用費時的時域卷積法：首先運用諸如s 、 y 、 abcd的頻域網路參數求出頻域解析解，然後通過快速福利葉變換（ fft ）得出時域近似解，如果網路中存在大規模的非線性設備，還需要採用數值逆拉普拉斯變換（ nilt ） 。The influence of the detecting array on the spectrum signal is studied. a solution is put forward to correct the displacement error caused by width of the light activated element, when the sampling theorem is satisfied
提出了在滿足采樣定理的前提下，採用頻域反卷積的方法來消除由像元寬度對光譜峰值定位造成的亞像元誤差。Then the blind signal separation algorithm has been also discussed in frequency domain. we focus on discussing scaling and permutation problems. 4
在頻域，研究了卷積混合信號的頻域盲分離演算法，重點分析了演算法中存在的分離信號排序不確定性和幅度的不確定性問題。Set about from method of image data compression, the paper introduces wavelet and wavelet transform firstly. wavelet transform is an analytical method of time - scalable, which has the characteristics of multi - resolution, is partly transformed in space and frequency, and can realize self - adaptation in image analysis, but must carry on the huge convolution operation, it is complex
本文從圖像數據壓縮方法著手，介紹了小波和小波變換，小波變換是一種時間-尺度分析方法，它具有多分辨的特點，處理時進行的是空域和頻域的局部變換，可以用來實現對圖像的自適應分析，但需進行龐大的卷積運算，計算復雜。Finally we study a modified algorithm, which applies the fast fixed - point algorithm for complex signals to blind signals eparation in frequency domain. it ’ s a one - unit algorithm. to prevent converging to the same signal, the deflation algorithm is used to separate signals one by one
4 .結合上述卷積混合信號的頻域分離演算法，研究了一個改進單源演算法，將復數快速固定點演算法應用到頻域加速收斂，為了防止演算法收斂于同一信號，利用一種抽氣技術，這樣可一次分離出一個信號，實現卷積混合信號分離。分享友人