strong-signal theory 中文意思是什麼
strong-signal theory
解釋
強信號理論-
Up to now, research on strong interaction with theory model, such as the diagnosing the signal of quark - gluon plasma existence, mostly based on quark - gluon plasma system in high energy heavy ion collision is in chemical and thermal equilibrium
我們知道，到目前為止，利用理論模型進行的強相互作用方面的研究（比如：得到qgp存在的信號廠多以在高能重離子碰撞中的夸克膠子系統是處于化學平衡和熱平衡的為基礎的。 -
Firstly, based on price theory and transmission service theory, the thesis compares embedded pricing mode with incremental pricing mode, points out their advantages and disadvantages : though embedded pricing mode can recover transmission cost, but can not supply good economic signal. while incremental pricing mode can bring strong economic signal, but cannot recover transmission cost
首先，論文研究了參與定價模式和微增定價模式的多種輸電定價方法，指出雖然參與定價模式大多能回收輸電成本，計算簡單，價格穩定，但不能給用戶正確的經濟信號；而微增定價模式雖然能給出正確的經濟信號，卻對輸電固定成本回收無能為力。 -
In term of this theory, we decompose some simulate signal and pipeline mfl signal by wavelet package transform. then select the best wavelet package base out of the decomposed coefficient and figure the brickwork of the best base on the relevant position in time - frequency plane showing the strong or weak of every coefficient. as a result, the time - frequency structure of signal analyzed is relatively visually represented ; that is to say, an anticipative result achieves
按照這一理論，我們對一些模擬信號和管道漏磁信號作了小波包分解，然後從中選出最優小波包基，再把被選中的小波包基的相應砌塊表示在時?頻相平面上的相應位置上，並用灰度級別表示這個分量權重的強弱，結果較形象地把被分析信號的時?頻結構表現出來，達到了預期的目的。 -
To solve this problem, some researches on denoising for the nonstationary and noisy - strong signal are carried out in this paper. combining hilbert - huang transform ( hht ) which has been proved to be more valid in the aspect of time - frequency analysis, with mature wavelet transform ( wt ) threshold theory, an emd - based wavelet threshold denoising algorithm is presented
針對這個問題，本文也開展了對信噪比較低的含噪非平穩信號的去噪研究工作，並將具有比小波變換更強時頻分析能力的希爾伯特?黃變換（ hht ）與成熟的小波閾值理論相結合，提出基於emd的小波閾值去噪演算法。 -
Stochastic resonance is a new and very important embranchment in the nonlinear academic domain. it is a very important new thought of combining sr theory and dsp technology together to form a faint signal detecting system, which is used in weak signal detection under strong background
隨機共振是目前非線性學術領域的一個新興的重要的分支，而把隨機共振理論和dsp技術結合起來形成強噪聲背景下的小信號檢測系統並應用到實際工程信號的檢測中去則是本文的一個創新點。 -
3. based on the theory of analysis methods which include wavelet, wavelet packet and feedback adaptive kalman filtering, it is put forward a proposition combined with wavelet packet and feedback adaptive kalman filtering, in order to result comparative smooth to the signal tested when it is being relatively steady, and extreme strong traceability goal to the signal tested when it is taking place sudden change
在分析動態小波濾波、小波包濾波和誤差反饋式自適應卡爾曼濾波方法的基礎上，提出基於小波分析反饋式自適應卡爾曼濾波方法，以實現當測定信號相對平穩時濾波結果較為平滑，而在測定信號發生突變時濾波器又具有極強跟蹤能力的目標。
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