相减法 meaning in English
subtractive method
Examples
- The frame difference algorithm was used for dealing with the problem of initial background image extracting automatically , and different moving pixels in current image were detected through a subtracting technique
通过一种基于帧间差分的算法，自动提取初始背景图像，并使用相减法，检测出当前图像中的运动像素。 - We can compensate the phase difference and subtract at the direction of ship noise , then the noise can be cancelled . the merit o f this method is simple , stable and efficient . the main contents are : 1
首先介绍了噪声抵消的一般方法，并且结合拖曳阵本舰噪声的抵消问题研究了自适应法和双线列阵相减法对本舰噪声的抑制模型及原理。 - Depending on the specific application , the enhancement system may be directed at different objectives . what is contained in the thesis is as following : ( 1 ) . a variety of methods based on short - time spectrum estimation for speech enhancement are discussed
系统地研究了基于语音短时谱估计的各种增强方法，包括幅度谱相减法、功率谱相减法、维纳滤波法、最小均方误差法、两态软判决等。 - This thesis tries to update the cmdsr system to achieve the characters below : real - time , better robust , higher recognition rate , non - special - man . considering the disadvantages of traditional improved spectrum subtraction speech enhancement , this thesis proposes the theory of fuzzy spectrum subtraction based on the fuzzy theory and improved spectrum subtraction speech enhancement ; as for the difficulties of detecting the endpoint of speech signal , the thesis gives the table of initial and the improved parameters , with which we can confirm the endpoints of mandarin digit speech ; the thesis puts forward two - level digit real - time speech recognition system , the first level is based on discrete hidden markov model which is linear predictive coding cepstrum ( lpcc ) and difference linear predictive coding cepstrum ( dlpcc ) , the second level is based on formant parameters ; as for the realization of hardware , the thesis depicts the realization of every part of cmdsr based on the tms320vc5402 in detail ; as for the development of software , the thesis gives the software design flow chart of cmdsr , simulates the basic theory with matlab language and gives the simulation results
针对传统的“改进谱相减法语音增强”参数设定单一、环境适应能力差的缺点,提出了一种利用模糊理论和“改进的谱相减法”结合的“模糊谱相减法语音增强” ;针对语音信号端点检测困难的特点,通过matlab仿真试验,给出了能够准确确定数码语音端点的初始和改进参数表;提出了利用基于线性预测编码倒谱参数和差分线性预测编码倒谱参数相结合的离散隐含马尔可夫模型进行第一级识别、利用共振峰参数进行第二级识别的两级汉语数码语音识别系统,在保证系统实时性的同时,实现连接汉语数码语音识别系统识别率的提高;在硬件实现上,详细阐述了基于tms320vc5402的连接汉语数码语音识别系统各部分硬件设计;在软件开发上,给出了连接汉语数码语音识别的软件设计各部分的流程图,并对各部分进行了matlab仿真,并给出了仿真结果。 - For the detecting and tracking of objects in a static background , we summarize mature detecting algorithms , compare the adjacent frame difference method with the adaptive background difference one and implement an automatic object detecting and tracking system based on adaptive background difference and kalman filtration . as for image feature extraction , we systematically summarize available extraction methods and present the definition of image feature points
静止背景中目标检测和跟踪方面，本文在前人大量工作的基础上，总结了成熟的静止背景中目标检测算法，试验对比了瞬时差分法和自适应背景相减法，提出并实现了一个基于自适应背景相减法和卡尔曼滤波的自动目标检测和跟踪系统。