疏通信號 的英文怎麼說
中文拼音 [shūtōngxìnháo]
疏通信號
英文
unblocking signal-
With the help of video detection and recognition methods, we can sample real - timely traffic messages, such as traffic flow, road situation and so on, and get the relative information so as to avoid traffic jam before it happens, on the other hand, to real - time traffic breach detection, video detection and recognition methods is also very effective, especially, it can provide strong evidence for traffic policemen
通過視頻圖象的檢測與識別，可以對道路的交通流、路況等實時監視，提取交通流信息（車流量、車道佔有率、車速等） ，在交通擁擠未發生時，及時採取措施、疏導交通、防止交通擁擠發生；另一方面，通過視頻圖象的檢測與識別，還可以實時檢測交通違章現象、識別違章車輛的車牌號碼，為公安交通管理部門提供強有力的執法證據。The main contents of this thesis include : ( 1 ) summarize and analysis of the theories on vibration transmission through rolling element bearings ( 2 ) based on the threshold setting and signal ’ s statistical approach, a method for solving the problems of denoise was developed ( 3 ) using sparsity and clustering, the method and hypotheses for underdetermined blind source separation was studied ( 4 ) the method based on potential function clustering was given for underdetermined blind source separation of noisy signals based on the assumption that the input distribution is sparse and the mixture procedure is linear, the attenuation matrix and the delay matrix were estimated by clustering. the approach was experimentally illustrated for the case of m = 2. the separation of the signals from bearing test bed proved that the given methods are available and reliable
在需求分析和研究現狀分析的基礎上，本論文針對如下內容進行了重點研究: （ 1 ）以滾動軸承為例，對旋轉機械振動信號的傳輸進行了歸納分析; （ 2 ）通過設定某一門限並研究信號間的統計特性，研究了旋轉機械振動信號的盲源分離過程中噪聲消減策略; （ 3 ）應用稀疏信號分析和聚類分析方法，對盲源分離中欠確定問題的假設條件進行探討並對分離方法進行了分析; （ 4 ）採用基於勢函數聚類分析的方法，研究了欠確定前提下含噪聲測量過程中信號盲源分離方法。For multi - granularity application, both a lambda - group model used in traffic grooming and a new intelligent switching fabric based on the new model were presented. the optical switching fabric presented a distinctive approach of dividing granularities into specific tunnels for effective optical treatment. in addition, two key dynamic algorithm modules of configuration for granularity separation in the control layer were discussed. simulation results show that the method of particular channel partition can greatly improve the average channel quality and the blocking performance along every optical path for dynamic connection requests
針對多粒度應用，開發了一種用於流量疏導的波群模型，並引入一種基於此模型的新型智能交換結構.該光交換結構提供了獨特的區分粒度到相應隧道進行有效處理的方法.此外，還討論了控制層粒度分離時採用的兩個關鍵的動態演算法模塊.模擬結果顯示這種特殊的通道分離方法有效提高了處理動態連接請求時每個光路徑的平均信號通道質量和阻塞性能
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