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在MATLAB环境下,背景为非高斯噪声下非常适用的滤波新算法。-in MATLAB environment, the background of the non-Gaussian noise filtering is applied to the new algorithm.
Date : 2008-10-13 Size : 1.3kb User : 郭文强

本文是关于LMS算法在非相关的高斯噪声下的收敛性!希望对大家有用-paper on the LMS algorithm in the non-Gaussian noise under the Convergence! We hope to useful
Date : 2008-10-13 Size : 243.43kb User : yangfei

DL : 0
在MATLAB环境下,背景为非高斯噪声下非常适用的滤波新算法。-in MATLAB environment, the background of the non-Gaussian noise filtering is applied to the new algorithm.
Date : 2025-07-03 Size : 1kb User : 郭文强

本文是关于LMS算法在非相关的高斯噪声下的收敛性!希望对大家有用-paper on the LMS algorithm in the non-Gaussian noise under the Convergence! We hope to useful
Date : 2025-07-03 Size : 243kb User : yangfei

粒子滤波程序,仿真实现自由度机器人对目标的跟踪,使用kalman滤波估计总雅可比矩阵J,噪声为非高斯噪声-Particle filter procedure, simulation robot tracking of targets, the use of kalman filter estimated total Jacobian matrix J, the noise of non-Gaussian noise
Date : 2025-07-03 Size : 6kb User : testit123

DL : 1
基于matlab,针对调幅AM、调频FM和调相PM信号,分析在不同的噪声环境,包括高斯白噪声、色噪声、非高斯噪声及正弦干扰中,各种信号的二阶循环谱。可根据需要改变程序中信号或噪声环境,分析结果。-Based on matlab, AM for AM, FM FM and PM phase modulation signals, analysis of noise in different environments, including Gaussian white noise, colored noise, non-Gaussian noise and sinusoidal interference, the various second-order cyclic spectrum signals. May need to change the process in accordance with the signal or noise environment, the results of the analysis.
Date : 2025-07-03 Size : 2kb User : 小美

concerned with the blind identi cation of bilinear systems excited by higher-order white noise. Un- like prior work that restricted the bilinear system model to simple forms and required the excitation to be Gaussian dis- tributed, the results of this paper are applicable to a more general class of bilinear systems and for the case when the excitation is non-Gaussian. We describe an estimation pro- cedure for the computation of the system parameters using output cumulants of order less than four.
Date : 2025-07-03 Size : 1.38mb User : lzn

这是一部关于非高斯噪声中信号检测与估计的经典书籍,springer出版社出版,作者是S Kassam-This is a classical book about signal detection in non-Gaussian noise, by S Kassam
Date : 2025-07-03 Size : 6.26mb User : 晁文婷

粒子滤波现在已经成为目标跟踪领域的主流算法,它的应用范围广泛,在非线性、非高斯噪声下依然表现良好。该代码是Rob Hess 编写的。他的个人主页是:http://web.engr.oregonstate.edu/~hess/ -Now,Partical filter has become the main algorithm in moving target tracking region.It still perform very well in nonlinear non-gaussian noise conditions. So its application is wide. The code is written by Rob Hess.His homeage is:http://web.engr.oregonstate.edu/~hess/
Date : 2025-07-03 Size : 19.52mb User : 郑玉凤

使用MATLAB语言编写的非高斯噪声程序,通俗易懂,非常好用-Using the MATLAB language for non-Gaussian noise process, user-friendly, very easy to use
Date : 2025-07-03 Size : 2kb User : 七马

这些MATLAB的M文件分为两部分:程序清单A中收录了产生PPM-TH和PAM-DS这两个信号源的所有函数;程序清单B中收录了加性高斯白噪声(AWGN)信道建模,正交和非正交单脉冲PPM-TH接收机结构,以及反极性PAM-DS单脉冲接收机结构仿真所需的所有函数。-The MATLAB M-file is divided into two parts: A list of procedures in the collection of produce PPM-TH and PAM-DS two signal sources all functions Listing B, contains an additive white Gaussian noise (AWGN) channel construction mode, orthogonal and non-orthogonal single-pulse PPM-TH receiver structure, as well as anti-polarity PAM-DS receiver structure simulation of single-pulse all the necessary functions.
Date : 2025-07-03 Size : 18kb User : 蔡陆军

DL : 0
Pf粒子滤波实现的目标跟踪程序,可实现针对非高斯噪声情况下的跟踪-Pf particle filter to achieve tracking procedures, can be non-Gaussian noise for tracking cases
Date : 2025-07-03 Size : 11kb User : aadee

关于非高斯噪声环境下的各种调制方式信道容量仿真-Non-Gaussian noise environment on a variety of channel capacity modulation simulation
Date : 2025-07-03 Size : 4kb User : 倾听

在复杂的电子系统中,影响信号接收的很多噪声为非高斯噪声,这些噪声是没有预料到的,以致破坏了接收机的功能,研究表明:这些噪声可以看成双模噪声,双模噪声从整体上讲属于非高斯噪声。-In complex electronic systems, many of the signal received by a non-Gaussian noise, the noise is not anticipated, resulting in damage to the receiver function, research shows that: the noise can be regarded as dual-mode noise, dual-mode noise As a whole is non-Gaussian noise.
Date : 2025-07-03 Size : 2kb User : 廖畅

DL : 0
独立分量分析(ICA)以非高斯源信号为研究对象,在统计独立的假设下,对多路观测到的混合信号进行盲信号分离,已广泛应用于无线通信、生物信号提取、语音信号处理、图像处理和噪声抑制等领域。 -The independent component analysis (ICA) addresses non-Gaussian source signals under amusing independent each other, it performs blind separation for multi-channel observed signals. It has widely applied in wireless communication, biological signals extraction, audio signal processing, image processing, and noise reducing and so on.
Date : 2025-07-03 Size : 499kb User : zhaojianli

熟悉非高斯色噪声的产生过程,并对其进行参数估计。 产生一高斯噪声,让其通过一线性系统,再得到符合需要的对数正态分布。 -Familiar with the process of non-Gaussian colored noise generated, and estimated its parameters. Generate a Gaussian noise, so that the linear system to meet the needs of the lognormal distribution.
Date : 2025-07-03 Size : 5kb User :

该文提出一种基于广义分数阶傅里叶变换和分数低阶Wigner-Ville 分布的数字调制识别新方法,该方法提取广义分数阶傅里叶变换的零 中心归一化瞬时幅度谱密度的最大值和分数低阶Wigner-Ville 分布幅度的最大值作为识别特征参数,并采用判决树分类器,实现了非高斯噪声下数字调制信号识别。-This paper presents a generalized fractional Fourier transform and fractional lower order Wigner-Ville distribution of new digital modulation recognition method, the method to extract generalized fractional Fourier transform, the center is one of the instantaneous amplitude spectral density The maximum amplitude values ​ ​ and fractional lower order Wigner-Ville distribution as an identifying characteristic parameters, and decision tree classifier, to achieve a non-Gaussian noise under digital modulation signal recognition.
Date : 2025-07-03 Size : 212kb User : forevr

鲁棒自适应波束形成技术,一般采用的加性高斯白噪声,此文采用混合高斯噪声模型,具有很好的代表性,是一个很好的外文文献-An adaptive spatial diversity receiver for non-Gaussian interference and noise
Date : 2025-07-03 Size : 290kb User : 王云鹤

鲁棒自适应波束形成技术,一般采用的加性高斯白噪声,此文采用混合高斯噪声模型,具有很好的代表性,是一个很好的外文文献-An adaptive spatial diversity receiver for non-Gaussian interference and noise
Date : 2025-07-03 Size : 290kb User : 王云鹤

The function impulsive_noise generates non-gaussian noise with inputs of beta, gamma,and the power of noise is 1 in W or 0 in dB. The noise can be defined either real or complex. The other functions generate QAM symbol and insert a vector to another vetor with specific locations
Date : 2025-07-03 Size : 1kb User : Tri Nguyen
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