Description: 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. Platform: |
Size: 1329 |
Author:郭文强 |
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Description: 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 Platform: |
Size: 249276 |
Author:yangfei |
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Description: 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. Platform: |
Size: 1024 |
Author:郭文强 |
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Description: 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 Platform: |
Size: 248832 |
Author:yangfei |
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Description: 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 Platform: |
Size: 6144 |
Author:testit123 |
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Description: 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. Platform: |
Size: 2048 |
Author:小美 |
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Description: 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. Platform: |
Size: 1449984 |
Author:lzn |
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Description: 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 Platform: |
Size: 6563840 |
Author:晁文婷 |
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Description: 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/ Platform: |
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Author:郑玉凤 |
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Description: 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 Platform: |
Size: 2048 |
Author:七马 |
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Description: 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. Platform: |
Size: 18432 |
Author:蔡陆军 |
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Description: 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. Platform: |
Size: 2048 |
Author:廖畅 |
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Description: 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. Platform: |
Size: 510976 |
Author:zhaojianli |
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Description: 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. Platform: |
Size: 5120 |
Author:张 |
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Description: 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. Platform: |
Size: 217088 |
Author:forevr |
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Description: 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 Platform: |
Size: 1024 |
Author:Tri Nguyen |
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Search - non gaussian noise