算法结构 meaning in English
algorithm structure
Examples
- Collaborative optimization ( co ) is one of very promising multidisciplinary design optimization ( mdo ) methods . this method dissolve complex system analysis and is able to conduct the analysis of disciplines in parallel via disciplinary decompose . furthermore , the architecture of co is a natural fit to the current aircraft design organizations
协同优化方法是多学科设计优化中比较优秀的一种方法，它消除了复杂的系统分析，使各个子系统能够并行地进行分析和优化，而且其算法结构与现有的飞机设计专业分工组织形式相吻合。 - At secondly , for depressing the noise in ir images , we make a deep research in median filter and it ' s algorithm architecture , then we present a improved method based on the control bit look ahead structure and implement it in fpga . at last , we resolved the data communication problem in the multiprocessor ir image processing system and and complete the system debug
然后，针对校正后图像中噪声干扰的问题，深入研究了中值滤波的特性和算法结构，提出了具有超前控制位的max - min中值滤波器的改进结构，在现场可编程门阵列fpga上设计实现了该中值滤波器，并进行了验证。 - We put forward a principle of design multiple field packet classification algorithms base on the analyzing of the basic theory , algorithms structure and flow . now the speed of link is more and more high and the size of rule set is more and more large , it is difficult to design fast multiple field classification algorithms and the design principle is combine or improve the classical algorithms base on the analyzing the distributing law of the actual rule set
分析上述各种算法的基本思想、算法结构及流程，本文总结出设计多域报文分类算法的原则：针对当前链路速度不断提高和规则库规模不断扩大的现状，设计快速的多域报文分类算法已经成为一个技术难点，一般的原则是在分析实际规则库规则的分布规律地基础上对现有的经典算法进行组合或者优化改进。 - Being as the second generation wavelet with the special algorithm structure , the lifting wavelet is proposed for improving the operation speed of traditional wavelet and reducing the memory requirement . it is also fit for adaptive 、 nonlinear 、 non oddity sampling and integer to integer transform , so it becomes a research hotspot in the information science field
而提升小波作为第二代小波,以其独特的算法结构、快速运算能力及低存储需求,且适合于自适应、非线性、非奇异采样和整数到整数的变换等优点受到信息科学领域的广泛关注。 - The following algorithms have been proposed and tested in the thesis : 1 frequency selective fading : combine the isomorphism between the input space and the output space and propose a new approach to blind equalization of the channel . compared with conventional methods , the new approach offers lower computational complexity , better performance , and more robust against the over - determination of the system order ; 2 time selective fading : a new approach to the equalization of time selective channel based on the zero - forced equalizer is proposed which is more simple in its structure of algorithm ; 3 time - varying channel : using the instantaneous mean value changes of the output signal to extract the information of channel variations and model it using ar model , kalman filter is then employed to track channel variations , it bears faster ability in tracking the variation of tv channels ; based on the isomorphism between the inputs and the outputs and some of the approaches using in mimo system , a new algorithm of equalization of simo time - varying channel is proposed , which also share the merits of being robust against the over - determination of the system order ; model the time - varying channel using the multi - resolution decomposition wavelets , and then a blind identification method based " on the model is proposed ; at last , a new model for equalization and identification of mimo system is proposed
主要工作在以下几个方面： 1 、针对频率选择性衰落信道：结合输入输出空间同构关系提出一种新的频率选择性信道均衡方法，与传统方法相比，该方法计算量更小，收敛速度更快，性能更优，且对系统阶次的过确定表现稳健，具有实际均衡应用价值； 2 、针对时间选择性衰落信道：提出一种基于迫零均衡的时间选择性信道均衡方法，算法结构简单； 3 、针对时变色散信道：利用瞬态均值曲线提取信道时变信息，对之ar建模，利用卡尔曼滤波器跟踪时变信道抽头变化，可以快速跟踪信道变化；基于输入输出空间之间的同构关系以及多输入多输出系统的处理方法，提出了新的单输入多输出色散时变信道均衡与识别算法，同样具有对信道阶次过确定保持稳健的优点；结合小波多分辨率分析提出一种基于小波模型的信道盲识别算法；研究时变的多输入多输出系统的盲均衡与盲反卷积问题，给出一种时变系统处理模型。