structural filter 中文意思是什麼

structural filter 解釋
結構濾波器
  • structural : adj. 構造上的，結構上的，組織上的。adv. -ly
  • filter : n 1 濾器，濾紙，過濾用料[砂、炭等]。2 【無線電】濾波器；【物理學】濾光鏡，濾色器。vt 過濾，用過濾...
  1. 3. with comprehensive improvement of transponder including structural adjustment to lna ; optimization of ( phase locked loop ) pll filter ; structural adjustment to the transmitter and phase error adjustment to the intermediate frequency demodulation circuit, we have successfully enhanced sensitivity, expanded dynamic range, increased transmitting power and improved the spectrum purity ; decreased capture time for pll ; improved the signal quality after demodulation ; reduced its volume and power consumption. 4

    3 、對通信機的全面改進，包括lna結構的調整、鎖相環環路濾波器的優化、發射部分結構的調整以及中頻解調電路的相差調整，提高了系統的接收靈敏度、改善了本振的頻譜純度、減少了鎖相環的鎖定時間、使中頻解調后的信號質量大為提高，同時還減少了體積、節約了系統的功耗。
  2. Firstly, the inversion of the ground motion with the unknown parameters and limited measurements was studied by the sub - structural identification, and the least - square algorithm of unknown input was built. secondly, based on the estimated input, structural parameter down to the element level was identified in time domain by extended kalman filter algorithm. several cases of a 6 - story frame s

    首先，使用子結構識別技術，研究了未知參數、觀測不完整條件下的地震動輸入反演問題，建立了未知輸入的最小二乘估計演算法；其次，在估計地震動輸入的基礎上，使用廣義kalman濾波器方法，識別全部單元結構參數。
  3. The model consists of two parts : the multi - structuring elements filter formed according to the generalized morphological denotation theorem, and an learning procedure to obtain optimal structural parameters

    該模型由形態學統一表示定理構成的多結構基元濾波器和結構參數優化學習兩個部分組成。
  4. In designing a multi - structuring elements filter, combination rules and structuring elements of the morphological transform are determined automatically, and one kind of neural networks is taken for the filter, in optimzing structural parameters of the filter, three computation methods are designed respectively, by adopting some priori information in application fields to guide optimal structural parameter learning procedure, which are the bp adaptive learning algorithm, the heuristic genetic learning algorithm and the inductive simulated annealing learning algorithm

    在多結構基元濾波器設計中，通過學習人-機交互選定的目標樣本，自動確定形態變換的組合規則及其結構元素，最終以神經網路形式構成濾波器。在結構參數的優化學習中，利用應用領域的先驗知識，分別設計了自適應bp學習、啟發式遺傳學習和引導式模擬退火學習等三種最優化計算方法。
  5. According to the basic theory of iir filters, a scheme of hardware implementation is worked out combining with the fact that coefficients of numerator and denominator of transfer function are fixed and the structural feature of selected hdpld. from the clew of implementing a stratified ， modularized and parameterized design ， the thesis describes the hardware implementation of the iir filter with vhdl and schematic diagram design method. two examples that are iir notch filter and iir low - pass filter are given ， the stability of filters and the effects of quantification of coefficient are also analyzed

    以iir數字濾波器的基本理論為依據，結合濾波器的傳遞函數分子、分母系數固定這一事實和選用的高密度可編程邏輯器件的特點，確定了iir數字濾波器的硬體實現方案；按照層次化、模塊化、參數化的設計思路，採用vhdl硬體描述語言和原理圖兩種設計技術進行了iir濾波器的硬體設計；本文給出了iir陷波濾波器和低通濾波器兩個設計實例，對設計的濾波器都進行了穩定性分析和系數量化影響分析；最終將完成的iir濾波器的硬體設計配置到晶元中，並在製作的實驗電路中進行了實際濾波效果測試。
  6. Analysis and design of optimal stack filter with structural elements constrains

    最優結構元約束層疊濾波器分析與設計
  7. The method consists of two stages : sub - structural inversion of ground motion using least - square estimation, and parameter identification using extended kalman filter

    本文所建立的方法分為兩個階段：地震動子結構反演和單元結構參數識別。
  8. Firstly, frequencies of each mode shape are gained through frequency spectrum analysis of time domain signals of key points. secondly, time domain signals, which correspond to structural mode shapes, are gained through band - pass filter technology. lastly, the corresponding mode shapes of each natural frequency are constructed by using time domain signals, which are processed by band - pass filter technology

    該方法的基本思想是先通過對關鍵點處時域信號進行譜分析得到結構各階振型對應的固有頻率，然後通過帶通濾波技術得到結構關鍵點在每階固有頻率下對應的時域信號，最後用濾波后時域信號構建結構在每階固有頻率下對應的振型。
  9. A serial generalized morphological filter with multi - structural element is used suppression white gaussian noise or pulse noise embedded in the speech signal. the paper compares morphological speech enhancement algorithm with classical approach on the feature of speech in the frequency domain and time domain

    本文針對形態學在數字語音信號增強中的應用演算法研究，採用多結構元素的廣義形態濾波器，主要用於對被高斯白噪聲或正負脈沖噪聲污染的語音信號的濾波增強，深入研究形態學濾波的語音增強演算法在語音時域、頻域對語音特徵參數的影響。
  10. Application and structural characteristic of gpj - 60a pressurized disk filter

    型加壓盤式過濾機的結構特點和應用
分享友人
分享到 Line

分享到臉書