A mesh smoothing algorithm based on tangential direction 基于切向的網格平滑算法
The method of this paper uses reasonable smoothing algorithm , and removes block - effect satisfactorily 采用合理的平滑算法,有效地消除了解碼圖像中的方塊效應。
The relative frequency training ( rft ) method is used to estimate the model parameters . and the problem of the data sparseness is solved through the backing off data smoothing algorithm 同時采用了回退式參數平滑算法來解決了一階隱馬爾可夫模型的數據稀疏問題。
2 . two kinds of computationally efficient algorithms ( ssca and fam ) for cyclic spectral analysises have been discussed detailly and deeply , both of which are time - smoothing algorithms based on fft 2 .通過對基于時域平滑算法的改進,研究了兩種高效的基于fft變換循環(huán)譜估計算法ssca和fam 。
4 . a new enhanced imm algorithm based on imm smoothing algorithm is presented . simulation results show that this new algorithm is superior to standard imm algorithm without time delay 為了滿足有些實時性要求很強的系統(tǒng)的要求,提出了一種多步迭代的實時imm算法,仿真表明利用該方法是可行的。
Algorithm can provide us with the smoothed model probability that can be used to judge the system jump or abruptly change . 3 . the smoothing algorithms are compared in two typical target tracking simulation examples 在兩種典型的仿真環(huán)境下比較了imm算法和固定滯后平滑算法的精度;以及本文提出的固定滯后平滑算法和chen的固定滯后平滑算法的精度。
Simulation results show that a significant improvement on the filtering algorithm is achieved by smoothing algorithms at the cost of a small time delay . the new smoothing algorithm proposed in this thesis is superior to other smoothing algorithms 仿真結果表明本文所提出的新算法的精度優(yōu)于chen算法,其一步滯后平滑精度與chen算法兩步滯后平滑精度相當。
Based on the combination of the adjacent diffusion method and the selective smoothing filter , a new anisotropic diffusion algorithm for image enlargement is proposed , which is called as the adjacent diffusion and selective smoothing algorithm ( adass ) 摘要提出了一種新型的各向異性擴散圖像放大的鄰域擴散選擇平滑法( adass ) ,將鄰域擴散法與選擇平滑濾波器相結合,降低了算法的復雜度,并提高了圖像的放大質量。
3 based on the filtering and smoothing algorithm , the optimal fixed interval deconvolution estimation algorithm is developed . 4 the algorithms are not only deduced theoretically but also tested through simulation . satisfactory simulation results are obtained , which validate the algorithms 第四,除了理論上對所給出的最優(yōu)算法的推證之外,本文還進行了大量的仿真實驗,仿真結果驗證了各算法的有效性。
Firstly a qualitative criterion for determining the space between adjacent sections in the sampling process and gaussian smoothing algorithm is proposed . then a topological reconstruction method is given . at last a new reconstruction method based on the similarity between adjacent sections is proposed 首先提出了確定斷層間距的定性方法和數據平滑處理的高斯方法,然后給出了一種拓撲重構方法,最后提出了一種基于相鄰層輪廓相似性的曲面重構新方法。