smoothing algorithm造句
例句與造句
- A mesh smoothing algorithm based on tangential direction
基于切向的網(wǎng)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(yīng)。 - 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(shí)采用了回退式參數(shù)平滑算法來解決了一階隱馬爾可夫模型的數(shù)據(jù)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(duì)基于時(shí)域平滑算法的改進(jìn),研究了兩種高效的基于fft變換循環(huán)譜估計(jì)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(shí)時(shí)性要求很強(qiáng)的系統(tǒng)的要求，提出了一種多步迭代的實(shí)時(shí)imm算法，仿真表明利用該方法是可行的。 - It's difficult to find smoothing algorithm in a sentence. 用smoothing algorithm造句挺難的
- 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(jié)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(dāng)。 - 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(kuò)散圖像放大的鄰域擴(kuò)散選擇平滑法( adass ) ，將鄰域擴(kuò)散法與選擇平滑濾波器相結(jié)合，降低了算法的復(fù)雜度，并提高了圖像的放大質(zhì)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(duì)所給出的最優(yōu)算法的推證之外，本文還進(jìn)行了大量的仿真實(shí)驗(yàn)，仿真結(jié)果驗(yàn)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(shù)據(jù)平滑處理的高斯方法，然后給出了一種拓?fù)渲貥?gòu)方法，最后提出了一種基于相鄰層輪廓相似性的曲面重構(gòu)新方法。 - The paper discusses how to design the chinese character and word code to meet the various input modes at first , then designs a dynamic self - study language model , and analyses the data smoothing algorithm in the language model
文章首先討論了怎樣設(shè)計(jì)字詞碼本結(jié)構(gòu)，使之能夠滿足靈活多樣的輸入方式，繼而設(shè)計(jì)了一種動(dòng)態(tài)自學(xué)習(xí)語(yǔ)言模型，重點(diǎn)分析了數(shù)據(jù)平滑算法在語(yǔ)言模型中的應(yīng)用與改進(jìn)，最后通過一個(gè)輸入法示例程序，對(duì)改進(jìn)前后不同情況下的輸入效果進(jìn)行了測(cè)試。 - After reviewing several smoothing algorithms for hybrid estimation , we presented a sub optimal approach to the d step fixed - lag smoothing problem for markovian switching system by applying the basic imm structure to the system with augmented system state and mode probability . the new fixed - lag smoothing
該算法將imm算法應(yīng)用于系統(tǒng)狀態(tài)和模型概率同時(shí)擴(kuò)維的系統(tǒng)，能夠?qū)崟r(shí)計(jì)算模型概率平滑值，為實(shí)時(shí)判斷系統(tǒng)模式切換提供依據(jù)，并彌補(bǔ)了chen算法的任意步固定滯后平滑算法的理論缺陷。 - Applications of multiple - model smoothing algorithms for maneuvering target tracking are studied via simulation , some important conclusions are obtained . based on model - set sequential likelihood ratio , an enhanced agimm , in which model - set adaptation is implemented by jointly utilizing model posterior probability and predication probability , is proposed , simulation results indicate that improvements of both dynamic and steady state tracking performance are achieved with the enhanced algorithm
仿真研究了多模型平滑算法在機(jī)動(dòng)目標(biāo)跟蹤中的應(yīng)用；利用模型集合序貫似然比檢驗(yàn)，提出了一種綜合利用模型后驗(yàn)概率和預(yù)測(cè)概率實(shí)現(xiàn)模型集合自適應(yīng)的綜合格自適應(yīng)多模型算法，仿真實(shí)驗(yàn)表明算法有效改善了動(dòng)態(tài)跟蹤精度和穩(wěn)態(tài)跟蹤性能。