高斯白噪声

与高斯白噪声信道不同，乘性衰落信道对信号会带来直接的影响。

Different from AWGN channel , the fading process brings the multiplicative interference to the signal .

仿真结果表明，与传统的采用连续导频的载波频偏估计方法相比，在高斯白噪声信道和慢衰落信道下，采用离散导频的载波频偏估计方法的性能有明显的提高；

The fractional carrier frequency offset is estimated by dividing the phase difference into the time interval . The simulation results show that , compared with the traditional continual pilots based method , in both AWGN and slow fading channels , the scattered pilots based method has a better performance .

一种简易GPS压制式高斯白噪声窄带干扰机设计

Design of a simple GPS jammer using Gaussian white noise

高精度数字式高斯白噪声发生器的FPGA实现

The FPGA Implementation of High-precision Digital Gaussian White Noise Generator

一种基于FPGA的高斯白噪声发生器的设计与实现

Design and Implementation of a Gaussian White Noise Generator Based on FPGA

基于FPGA的高斯白噪声发生器设计

Design of White Gaussian Noise Generator Based on FPGA

基于DSP的实时高斯白噪声产生方案

A DSP-based System for Generating Gaussian Noise

基于MATLAB利用充分统计量法对含有高斯白噪声二元信号检测的仿真

The Simulation of Checking Duality Signals with White Gaussian Noise Using Plenitude Statistic Method Based on MATLAB

采用了自适应方法很方便地实现了该特定频率响应FIR滤波器的设计，再将高斯白噪声信号通过该滤波器即实现宽带噪声信号的模拟。

A special frequency response FIR is designed using an adaptive method .

对混有加性高斯白噪声的SAR回波信号进行分数阶Fourier域上的滤波处理。

Filtering of the SAR echo signal mixed with additive white Gaussian noise in fractional Fourier domain .

vanderpol振子对高斯白噪声的响应

The Response of van der Pol Oscillator to Gaussian White Noise

高斯白噪声下T-S模糊系统的传感器故障诊断

Sensor fault diagnosis for a T-S fuzzy system with Gaussian white noises

然后依据深空通信信道特点提出了适合深空通信的变参数高斯白噪声信道模型，并用C语言实现了该模型。

Thirdly , a variable parameter adding white gauss noise channel model is proposed and also achieved by C language according to the characteristics of the deep space communication channel .

论文对加性高斯白噪声信道下OFDM频率偏移的自适应估计方法进行了深入研究。

Adaptive frequency offset estimation methods of OFDM system , under the additive white Gaussian noise , are research researched deeply .

高斯白噪声下LMS算法的改进

The improving method for the least mean square ( lms ) algorithm under white Gaussian noise

基于高斯白噪声加入的EMD在旋转机械故障诊断中的应用研究

Applied Research on Rotated Machine of Fault Diagnosis Based on EMD Added Gauss White Noise

采用EMD方法消除瞬态散射回波中的高斯白噪声干扰

Recovery of Signal from Transient Scattered Response Contaminated by Gaussian White Noise Based on EMD Method

但当输入信号受到高斯白噪声干扰时，用LMS算法求得的解误差很大，所以提出了改进的算法。

But the filter gives a biased solution when the input signal is contaminated by white Gaussian noise .

研究了LS算法及其DFT改进算法，并将高斯白噪声信道中的信噪比估计方法引入到单载波频域均衡系统中。

LS algorithm and DFT-based algorithm were studied and signal-to-noise estimation algorithms in AWGN channel were introduced to SC-FDE systems .

GPS数据的噪声一般都不为高斯白噪声，在模糊度固定的基础上，本文讨论了有色噪声最小二乘估计，如此可削弱有色噪声的影响。

For noises of GPS data always are not Gaussian noises , the least square is used to weaken the influence of colored noises on the base of ambiguities fixed .

通过有效的数学处理，并利用Markov过程理论，计算和推导了频率阶跃及高斯白噪声同时介入时环路的各种性能。

By means of efficient mathematical processing , various performances under frequency step plus noise input are analysed - by using the theory of Markov process .

研究了RLC串联电路受高斯白噪声扰动时系统输出的随机共振现象。

The SR phenomenon of an RLC series circuit perturbed by white Gaussian noise is investigated .

QPSK在加性高斯白噪声环境下，信噪比和误码率的仿真。

QPSK the additive white Gaussian noise environment , and the signal-to-noise ratio of the simulation .

文章从理论上证明了该算法在存在高斯白噪声（AWGN）的非理想信道中，能够在信噪比变化的情况下满足迫零条件。

Theoretically , it can consistently enforce the zero-forcing condition in AWGN channel when SNR varies .

该算法对接收的导频信号（Pilot）分别在多径展宽域和多普勒展宽域进行处理，显著地降低了子载波间干扰和高斯白噪声的影响。

The method can significantly reduce the Inter-Carrier Interference ( ICI ) and additive white Gaussian noise by processing the received pilots both in multipath spread domain and Doppler spread domain .

提出了一种传感器故障诊断的新方法，适用于高斯白噪声下的TS模糊系统。

This paper presented a new approach for sensor fault detection and isolation in a T S fuzzy system with Gaussian white noises .

基于等价线性化方法，研究了周期力与高斯白噪声作用下，二阶过阻尼非线性杜芬（Duffing）振荡器的非单调行为。

An over-damped nonlinear Duffing oscillator driven by a periodic force and a Gaussian white noise is studied .

ICI不可以简单近似为高斯白噪声，并且严重影响了MIMO性能的提升。

ICI can not be simply approximated as Gaussian white noise , and it has serious impact on the improvements of MIMO performance .

通过相关分析、频域分析，采用高斯白噪声输入信号，可以对二阶Volterra模型进行辨识。

The two-order Volterra model can be identified with the correlation analysis and frequency-domain analysis when the input is Gaussian White noise .

仿真的信号环境包括加性高斯白噪声信道（AWGN）和平坦衰落信道。

The simulation signal environment include added Gauss white noise channel ( AWGN ) and flat falling channel .