The sinusoidal modeling based on matching pursuit is studied in this thesis , and the concepts of dynamic masking threshold and perceptual gradient are proposed as well as the algorithm of sinusoidal modeling with perceptual gradient 研究了基于匹配跟踪的正弦建模问题，提出了动态掩蔽阈值、感知梯度等概念，以及感知梯度正弦建模算法。
( 7 ) based on the modeling algorithm of modified fuzzy petri net , business and financial fields of mechanical industrial engineering enterprises , which combine quantitative and qualitative relation ( 7 )基于扩展模糊petri网的建模算法，对机械工程工业企业中既包含定性关系又包含定量关系的业务和财务问题，进行企业诊断建模和推理的应用仿真。
A new variable step - size cma blind equalization algorithm is introduced to conquer the defects of cma , in which the step size is controlled by the estimation of error signal ' s autocorrelation 摘要提出了一种自适应变步长恒模盲均衡算法，利用剩余误差信号的自相关函数估计值作为控制步长的因子来自适应改变步长的大小，克服了恒模算法存在的固有缺陷。
Chapter 3 is on blind equalization . different types of equalizer structures and algorithms are introduced and analyzed . " the algorithms based on cma or gaussian cluster formation soft decision directed algorithm are discussed in detail 第三章介绍了均衡算法的基本结构类型，分析了一些具有代表性的盲均衡算法，并着重讨论了基于恒模算法和高斯簇模型软判决引导的盲均衡算法。
The monitoring of landslide is taken as the tracking of mobile object , and based on the shortage of the conventional tracking algorithm of mobile object , the interacting multiple models algorithm is used in to process the landslide monitoring data for the first time 摘要将滑坡的监测视为机动目标的跟踪问题，基于传统机动目标跟踪算法的不足，首次引入交互多模算法对滑坡监测数据进行处理。
In this paper two algorithms have been proposed to track the low - elevation targets in the presence of multipath : the interacting multiple model ( imm ) algorithm and the non - gaussian filtering algorithm . two models are used in the interacting multiple model m ) algorithm 本文研究在多路径传播的条件下跟踪低空目标的滤波技术，给出了两种滤波算法：交互多模算法( imm )算法和非高斯滤波算法。
Suborninate node complete picking up equipment fault information and making machine learning arithmitics , and transmitting equipment condition information operated to principal node or the other subordinate node by the way of wireless data transmitting device , at the same time , it can receive the information of optimized model arithmetic and equipment condition parameter from principal node 从节点内完成设备故障信息的提取和机器学习算法，并将运算后的设备状态信息通过无线数据传装置传送到主节点或其它从节点，同时也可以接受来自主节点的优化建模算法和设备状态参数设置等信息。
In this thesis , our research work mainly focuses on the following four aspects : 1 , studying and perfecting the generation algorithms of plant modeling , building three - dimensional plant model on the basis of studying current algorithms of plant modeling , combining iterated function system and l - system , we brought forward the random binary three - dimensional recursive model 本文的主要工作内容集中在以下四方面： 1 、研究并改进植物建模算法，生成三维的植物模型在研究目前植物建模常用算法的基础上，结合迭代函数系统法( ifs )和l系统法提出了树木类植物的随机二叉三维递归模型。
The main works of this paper can be summarized as follows : 1 . in this paper , the inherent limitation of cma is studied which greatly affect the convergence properties , variable step size thoeries is put into cma , and several variable step size cm blind equalization algorithm is proposed which can overcome the tradeoff between convergence rate and misadjustment 本文的主要贡献在于： 1 、本文对制约恒模算法收敛性能提高的因素做了深入分析，将变步长理论应用于恒模算法，得到了一系列恒模改进算法，克服了恒模算法收敛速度和收敛精度之间存在的内在矛盾。
