差错率的英文
error rate
例句与用法
- This paper analyzes some problems existing in classification indexing from the aspects of its specificity , scale , coordination , consistency and error ration , and finally puts forward some countermeasures
摘要从分类标引方法，分类标引专指度、完全度、协调度、一致性和差错率等几个方面叙述了分类标引存在的问题，并提出了改善措施。 - In the first study sad people committed significantly fewer errors than did happy people approximately half the number of errors but there was no difference in the number of boards completed . thus sad people were more productive
该研究分四次进行，第一次研究中，悲观忧愁的人工作差错率大大低于自信自满的人约其一半，但是完成的电路板数量没有差别。 - To solve this problem , this paper presents a novel dual modular redundancy structure using complementary logic - alternating - complementary logic cl - acl switching mode . during error - free operation , the cl - acl structure operates by complementary logic mode . after an error is detected , it retries by alternating logic mode
在低电源电压2 . 2v或更低或在0 . 1 m m vlsi工艺条件下，具有大于10 mev能级的宇宙中子流以高达20中子平方厘米小时到达地球表面时所引起的电路的随机差错率将是难以接受的。 - Space - time codes can be divided into tree mainly parts : bell layered space - time architecture ( blast ) , space - time trellis codes ( sttc ) and space - time block codes ( stbc ) . in this paper , we mainly compare the performance of blast and stbc in many aspects , such as design criterion , transmission rate , diversity gain , diversity combining , bit error rate and channel capacity etc . in this paper , we first respectively analysed the instantaneous received symbol energy - to - noise ratio of v _ blast in the diversity combining methods of maximal ratio combining ( mrc ) , equal gain combing ( egc ) and selective combing ( sc )
Mimo技术核心是空时编码( stc ) 。空时编码主要分为三种:分层空时码( blast ) 、空时格码( sttc )和空时块码( stbc ) 。本文主要对分层空时码和空时块码这两种编码方式在设计准则、传输速率、分集增益、接收合并、比特差错率和信道容量等方面进行了较为详尽的研究。 - Considering system security , we adopt mfcc to recognize password and lpcc to represent speaker track dynamic movement . the double decrees enable it applying in high secret situations . the system has many merit such as the quick operation velocity , easy model update , less calculate quantity and low error rate
本文考虑到系统的安全性，采用美尔倒谱系数识别密码，线性预测倒谱差分识别说话人声道动态变化的双重判决方法，为系统应用在高度机密场合提供了可能，具有运算速度快，模板更新容易，计算量小，差错率低等优点。
