cross point noise 中文意思是什麼

cross point noise 解釋
相交點噪聲
  • cross : n 1 十字架;〈the C 〉 耶穌受刑的十字架。2 〈the C 〉 基督教(教義,國家)。3 不幸,苦難;挫折,...
  • point : n 1 尖頭,尖端;尖頭器具;〈美國〉筆尖;接種針,雕刻針,編織針;小岬,小地角;【拳擊】下巴。2 【...
  • noise : n 1 聲音,聲響。2 叫喊;嘈雜聲,噪音;喧鬧聲;吵鬧,騷動,騷擾。3 〈古語〉謠言,風聲。4 〈美國〉...
  1. An algorithm to resolve the coupling effect problem is proposed during the cross point assignment ( cpa ) stage. in the algorithm, the priority queue concept and the rip - up and reroute strategy are combined to control crosstalk noise caused by interconnect coupling capacitance. first, the nets are arranged into different priority queues according to their weighted sum of their length and criticality. then, the cpa problem for one queue of nets is translated into a linear assignment problem. after the assignment of one queue of nets, a post - cpa checking routine is performed to check and rip up the net pairs which violate the crosstalk noise constraint and then push them into the next queue to be reassigned. the algorithm is tested by a set of bench mark examples, and the experimental results are promising

    提出了一種在過點分配階段解決噪聲耦合效應問題的演算法.該演算法採用優先隊列同拆線重布策略相結合的方法,控制由互連線耦合電容引起的串擾噪聲.演算法中,首先按照線長和約束限制,將線網劃分到若干個優先隊列中.然後,將每個優先隊列的過點分配問題轉換為線性分配問題.在完成一個線網隊列的分配后,通過過點分配后處理過程檢查串擾約束滿足情況,對違反約束的線網對進行拆除,放入后續線網隊列進行重新分配.實驗數據表明,該演算法能夠取得好的效果
  2. Abstract : an algorithm to resolve the coupling effect problem is proposed during the cross point assignment ( cpa ) stage. in the algorithm, the priority queue concept and the rip - up and reroute strategy are combined to control crosstalk noise caused by interconnect coupling capacitance. first, the nets are arranged into different priority queues according to their weighted sum of their length and criticality. then, the cpa problem for one queue of nets is translated into a linear assignment problem. after the assignment of one queue of nets, a post - cpa checking routine is performed to check and rip up the net pairs which violate the crosstalk noise constraint and then push them into the next queue to be reassigned. the algorithm is tested by a set of bench mark examples, and the experimental results are promising

    文摘:提出了一種在過點分配階段解決噪聲耦合效應問題的演算法.該演算法採用優先隊列同拆線重布策略相結合的方法,控制由互連線耦合電容引起的串擾噪聲.演算法中,首先按照線長和約束限制,將線網劃分到若干個優先隊列中.然後,將每個優先隊列的過點分配問題轉換為線性分配問題.在完成一個線網隊列的分配后,通過過點分配后處理過程檢查串擾約束滿足情況,對違反約束的線網對進行拆除,放入后續線網隊列進行重新分配.實驗數據表明,該演算法能夠取得好的效果
  3. The first part of the paper is designing the testing project for grounding resistance and insulation resistance in a new way. using 16bits ad converter with programmable control amplifier replaced the way which used changing resistance to change measure range. lt is not only improved testing precision and develop the system expediently, but also reduced the area of the circuit boardwith the new way. in order to make the electric implement safety testing system have upstanding expansibility, the software and hardware of the system adopted the modularization design. adopted mcu atmegal28 as a master mcu which control mmi, realtime clock and communication with slaver mcu. atemga8 as the slaver mcu to realize testing function. so it is easy to add or reduce the testing project. the testing implement system has been developed successfully, and the comments for the system is that it has high precision, high expansibility and easy maintain. but considering the electric implement system should have intelligence and humanity abi lity. so this paper bring forward a scheme of electric equipment safety testing embedded system with speech control. after introduce the basic theory of speech recognition, the paper expatiate the characters of this system. the system is a noise conditon, not special people, small glossary, insulation word system. with these characters design the speech recognition as fellow. utilizing cross zero ratio and short energy to ensure jumping - off point and end point ; adopting mfcc as the character parameters of speech recognition ; the character parameters than be recognized by dtw. in order to ensure the credibility of this project, first realized by matlab in computer

    在介紹了語音識別的基本原理后,闡述了本系統的特點:本系統是一個噪聲環境下非特定人、小詞匯量、孤立詞的語音識別系統。根據本系統的這些特點設計了如下語音識別方案:利用過零率和短時能量相結合的方式確定語音端點;採用mel頻率倒譜系數( mfcc )作為語音識別的特徵參數;得到的特徵參數最後通過動態時間規整( dtw )的模式識別方法進行識別。為了確保本系統實現方案的可靠性,首先通過計算機利用matlab軟體來模擬,在演算法模擬實現后又進一步增加環境的復雜性:加上較大的環境噪聲、突發性的噪聲等,再通過修改參數、修改參考模板、兩級識別等各種提高語音識別精度的方法來提廣東工業大學工學碩士學位論文高識別率。
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