参考信号

基于参考信号设计了控制器，使得超混沌R（？）

A controller based on the reference signal is designed .

单周控制（OneCycleControl）有源滤波器因无需参考信号、动态跟踪性好、控制简便等特点而被广泛研究。

Being with some features : no any requirement on reference signal , good dynamic tracking performance , easy to control etc , the one cycle control active power filter ( APF ) is widely studied .

基于带参考信号的ICA算法的脑电信号眨眼伪差的分离研究

Removing Blinking Artifacts from EEG Based on ICA Algorithm with Reference Signals

该方法不需要从PT侧取参考信号，操作简单、接线方便。

The means do not need the referenced signal from voltage transformer , feature simple operation and expedient connection .

对Duffing系统进行控制，使之能够追踪任意参考信号。

The tracking control of Duffing 's chaotic system is considered .

基于FPGA，给出了系统设计中PN码同步，参考信号提取的具体实现。

To propose detailed realization method for of the PN synchronization and reference signal generation based on FPGA in the project .

文中对LTE中的参考信号和天线端口的概念进行了介绍。

The reference signal and the antenna ports of the LTE will be introduced .

该系统实时采集电参数并用有限冲激响应（FIR）数字滤波器检测参考信号零点，针对不同输入指令调用相应的控制算法，使永磁机构在预定相位完成同步投切。

To make the permanent magnetic actuator accomplishing synchronous actuations at predeterminate phases , corresponding control algorithms are called for different input instructions .

利用backstepping方法设计了一种自适应光滑状态反馈控制器，使系统的输出跟踪给定的参考信号。

By means of the backstepping method , a robust adaptive state feedback controller is designed .

再利用ICA分离技术，以初次提取的特征波为参考信号对其进行增强。

Then , used the fast ICA technique for boosting up the feature wave by separating the feature wave again .

本研究提出了一种基于带参考信号的ICA算法的脑电信号眨眼伪差的分离方法，可以得到纯净的脑电信号。

Based on ICA algorithm with reference signals , a method of removing blinking artifacts was proposed in this paper .

对Duffing混沌系统进行非线性反馈控制，设计出一种含参控制器，使得受控Duffing系统的某一状态变量与任意给定的参考信号同步。

A nonlinear state feedback control and synchronization method is proposed for Duffing chaotic system .

利用Lyapunov函数方法证明在此控制器作用下该系统的此状态变量按指数速率收敛到参考信号。

It is proved by using Lyapunov function that this method can make the system approach to any desired signal at an exponent rate .

同时，针对控制参考信号为周期量这一特征，采用递推积分PI控制算法可以实现对周期信号的无差跟踪。

On the other hand , because control reference signal was a periodic parameter , it could eliminate system steady error well with recursive integral PI control algorithm .

锁相环（Phase-LockedLoop，PLL）是一种使输入参考信号与输出信号在相位和频率完全一致的同步电路。

The Phase-Locked Loop ( PLL ) is synchronizing circuit which can make the input reference signal exactly consist with the output signal in phase and frequency .

PD反馈控制器不但保证闭环系统的稳定性，同时其输出又作为训练神网络的参考信号。

The PD feedback controller is used as a general feedback controller to guarantee global stability , and its output is fed to the neural network as the reference signal .

用同一给定转速作为系统的主令参考信号，采用单神经元自适应PID控制算法对各台电机的转速环PID参数进行自整定，并加入前馈补偿环节，以消除负载扰动带来的转速误差。

The PID parameters of each motor system were adopted by a single neural element self-adaptive PID controller , and a feed-forward compensator was added to it to eliminate speed errors from load disturbances .

在实际通信系统中，应用LMS算法的主要困难是获得适当的参考信号。

The major difficulty in using the LMS algorithm in a practical com - munication system is the problem of obtaining a suitable reference signal .

设计了该原理应用在经消弧线圈接地系统中的matlab仿真模型，验证了该原理可以根据参考信号，有效地提取含有噪声的信号的有效信息。

Application of the design principles in the Petersen coil grounding system in matlab simulation model can be verified in accordance with the principle of reference signals , effectively extract the signal with noise effective information .

借鉴传输参考信号的思想，将其扩展到一组多个信号，提出一种新型超宽带（UWB）差分相关接收机。

By extending the idea of transmitted ~ - reference to multiple signals in a frame , this paper presents a new Ultra-Wideband ( UWB ) differential correlation receiver .

利用可靠的PID算法设计了电机控制器，利用采集的位置偏差信号作为速度参考信号，电机的速度信号作为反馈信号，形成单闭环速度控制系统。

Robust PID algorithm design of the motor controller . acquisition of location deviation signal as speed reference signal , speed of the electrical signal as a feedback signal , form a single closed-loop speed control system .

对任一连续混沌系统给出了一种控制方法，设计出控制器，并利用Lyapunov函数方法证明受控系统能追踪任意参考信号，实现了同步。

A tracking control method was proposed for continuous chaotic system . It is proved by means of Lyapunov function that this method could make system approach to any desired signal .

然后在研究了LTE参考信号的基础上，对LTE-Advanced系统的常规CP和扩展CP进行了研究。

Then , on the basis of the study of LTE reference signal , this dissertation studies the normal CP and extended CP in LTE-Advanced system .

本文详细讨论了使用带参考信号的ICA算法消除眨眼伪差的方法与步骤，并给出了应用于仿真信号和真实信号的实验结果。

The idea and steps of the ICA algorithm with reference signals are thoroughly discussed , and the results of processing real signals are also proposed in the thesis .

指出最佳检测器仍由K重相关器（或匹配滤波器）组成，但其K个本地参考信号，不再是由求解K个独立的积分方程解出，而是由求解一K元联立积分方程组解出。

The optimum detector still consists of K correlators . However , the K reference signals are no longer the solutions of K independent integral equa - tions but the solution of a group of K simultaneous integral equations .

在以往结果基础上，利用内模原理，解决了MIMO系统同时镇定渐进跟踪向量值阶跃参考信号及其静态解耦问题。

Based on received results and with the internal model principle , the authors discuss the con - troller design problem for MIMO satisfying asymptotic tracking and static decoupling performance of simultaneous stabilization .

二是利用FFT技术进行测量相位，对测量信号和参考信号分别作FFT变换，顺利的实现数字相位计的计算。

Secondly , using FFT technology for temperature measurement , and made FFT transform for both signal of measurement and signal of reference , and realized the digital phase millions of calculation smoothly .

根据UPFC分层控制设计原理，设计外层控制器为内层控制器提供参考信号，从而完成构建综合考虑内部动态和外部系统影响的UPFC控制体系。

According to the design principle of multi-level controller of UPFC , this paper presents a design procedure for the design of external-level controller of UPFC .

针对系统任务控制特点，构建了双CPU双口RAM系统，实现多路精密参考信号的计算、同步输出及串行通信、直流母线调节和智能分档的多任务控制。

According to the control requirement , a dual-CPU-dual-RAM-based control system completes the calculation , outputs synchronization of multi-signal reference source , the serial communication , the adjustment of DC bus and the intelligent gradation .

本文基于峭度的快速固定点算法（FastICA）的基础上，对带参考信号的ICA（rICA）进行了扩展，提出了一种多参考信号的ICA方法。

Based on fast fixed-point algorithm of kurtosis ( FastICA ), this paper extends ICA with reference ( rICA ) and proposes an ICA algorithm with multi-references signals .