自适应算法

BP网络学习参数模糊自适应算法的实现

A Fuzzy Adaptive Algorithm for Learning Parameters of BP Networks

提高BP网络学习速度的自适应算法

Adaptive Algorithm to Improve Learning Speed of BP Network

CDMA系统中的几种智能天线自适应算法

Adaptive algorithms of smart antenna for CDMA system

研究重点关注LMS和LS/RLS两类自适应算法，综合讨论了优化问题构造、滤波器结构与GPS接收机特殊问题的结合，并给出大量的仿真结果。

The investigation involves optimization problem in adaptive filter , and the special aspect in GPS receiver .

本文讨论多路LMS自适应算法。

This paper deals with the multichannel LMS adaptive algorithm .

高速无线局域网DCF机制下的链路自适应算法研究

A Study of the Link Adaptation Algorithm for High-Speed WLAN Based on DCF

Hartley域自适应算法在电话降噪中的应用研究

Hartley-Domain Adaptive Algorithm for Canceling Noises in Phoning

因此，选取NLMS算法作为MF的自适应算法，DLMS算法作为SF的自适应算法。

So the NLMS is selected for the adaptive algorithm of main filter and DLMS is for slave filter .

该算法与部分解耦的RLS自适应算法相比，显著提高了辨识过程的收敛速度和精度。

The algorithm can remarkably improve the convergence speed and precision of the identification process compared with the partially decoupled RLS adaptive identification algorithm .

MDAC自适应算法用于控制低血压过程的仿真研究

Simulation of Adaptive Algorithm MDAC for Controlled Hypotension

高速数据传输中信道均衡算法大致分为三类：即基于LMS准则、LS准则和人工神经网络的自适应算法。

Algorithms currently used for high speed data transmission over voice-band channels can be based on following three principles : on LMS criterion , on LS criterion or on artificial neural network .

研究了非线性ROF系统的Volterra级数表述、最小均方和最小二乘两种确定Volterra级数核的自适应算法在非线性ROF系统建模中的应用。

In this paper , the ROF system is described with Volterra series , and the adaptive algorithm LMS and RLS for identify Volterra kernel are studied .

广义预测误差模型及其GLMS自适应算法

Generalized prediction error model and its GLMs adaptive algorithm

通过采用最小均方误差（LMS）自适应算法，跟踪信号的相位信息，获取PCM/DPSK信号相位突变点，根据DPSK调制原理，实现信号的解调。

The method tracks signal 's phase information by LMS algorithm , and gets skip position of signal 's phase , thus realizes the demodulation for PCM / DPSK signal according to the regulation of modulation of the signal .

针对实际网络负载是不断变化的这种情况，本文又提出了基于三优先级重连接优先接入算法的门限信道自适应算法（TCAA）。

According to the fact that the network load is time varying , we also propose a Threshold Channel Adaptive Algorithm ( TCAA ) based on TRPA .

其次，建立种群的自学习算法、种群的自组织算法与遗传算子操作概率的自适应算法，并将这些算法嵌入最优保存简单遗传算法（OMSGA），从而构成IGA。

Afterwards , the self-learning algorithm , the self-organizing algorithm of population and the self-adapting algorithm of operational probability of operator are proposed , and they are embedded in optimum maintaining simple GA ( OMSGA ) to form IGA .

视频检索中关键帧选取的时间自适应算法

Adaptive Time Algorithm of Key-frame Extraction in Video Database Retrieval and Browsing

同步发电机失磁检测中的动量自适应算法

The MOMENTUM-ADAPTIVE algorithms in fault diagnosis of loss of excitation of synchronous

一种通用学习网络自适应算法及其在预测控制中的应用

Adaptive algorithm of universal learning network and its application to predictive control

自适应算法在地磁张量阻抗重构中的模拟研究

Application of Adaptive Algorithm to Reconstruction of Magnetotelluric Impedanc Tensor

自适应算法在光伏发电系统最大功率追踪中的应用

Application of Adaptive Algorithm in Maximum Power Point Tracking of the Photovoltaic

在线消除准-周期干扰的自适应算法

On-line adaptive algorithm for quasi - periodic disturbance rejection

智能天线实现的关键在于自适应算法的选择。

Selection of adaptive algorithms is the key in course of SA realization .

无辨识自适应算法与模糊推理的组合控制

Identification-free Adaptive Algorithms and Fuzzy Inference Combination Control

一种新的频域自适应算法

New frequency domain adaptive filtering algorithm

变窗长自适应算法

Variable Window Length Adaptive Algorithm

接着介绍了此插值框架下的两种具体自适应算法：均值线性插值算法和矩阵线性插值算法。

Then , two concrete algorithms named mean linear interpolation and matrix linear interpolation respectively are given .

在单载波系统中设计的预失真器及其自适应算法，有些难以适应多载波系统应用的需要；

The predistortor and adaptive algorithm in the single-carrier Software can 't satisfy the requirement with multicarrier system application .

着重研究远程水声通信系统中的均衡技术：介绍了均衡器结构与自适应算法；

More attentions were imposed on adaptive equalization techniques for acoustic communication system , structures and algorithms of adaptive equalization were introduced .

文章阐述了智能天线的背景、结构原理、自适应算法以及研究现状和方向。

This thesis illustrates the intelligence antenna in terms of its background , structural principles , self-adaptation calculation , and the present research situation and direction .