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All M-files are copyrighted, 2000, by Dimitris G. Manolakis,
Vinay K. Ingle, and Stephen M. Kogon for use with the book
\"Statistical and Adaptive Signal Processing\" published by
McGraw-Hill Higher Education, Co. -All M-files are copyrighted,
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统计自适应信号处理的matlab程序,学习统计自适应信号处理的朋友可以参考-statistics adaptive signal processing Matlab procedures, statistical study of adaptive signal processing can refer a friend
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计算机语义分析之分词,能够根据文章统计分析的结果进行自适应-computer semantic analysis segmentation, according to the article statistical analysis of the results Adaptive
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1、文件夹中包含了经典功率谱估计和自适应均衡算法两个实验的所有程序。
2、R.m、LMS.m、LMSmain.m为自适应均衡算法的程序:
R.m用来计算输入信号的自相关矩阵及其特征值;
LMS.m为时域LMS算法,用统计的方法仿真得出不同信道参数和不同步长下的学习曲线; LMSmain.m为实验主程序,按照实验要求中的具体数据得到实验结果和曲线。
3、functionx.m、fzhouqitu.m、spectrum.m、bt.m、bart_lett.m、welch.m、SPE
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Signal processing theory plays an increasingly central role in the development of modern telecommunication and information processing systems, and has a wide range of applications in multimedia technology, audio-visual signal processing, cellular mob
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基于小波和统计特性的自适应图象增强-based on wavelet and the statistical characteristics of adaptive image enhancement
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语言模型学习论文-中文
基于最大熵方法的统计语言模型.pdf
基于对话回合衰减的cache语言模型在线自适应研究.pdf
基于Web网页语料构建动态语言模型.pdf
统计语言模型综述.pdf
-Language model to study papers- Chinese based on the maximum entropy method of statistical language model. Pdf Round attenuation based on di
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Introduction to Statistical and Adaptive Signal
Processing
– Random Signals
– Spectral Estimation
– Signal Modeling
– Adaptive Filtering
• Course Overview
– Course Outline
– Textbook
– References-Introduction to Statistical and
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e books on statistical sinaland adaptive processing
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气象保障常用软件包:本书分为10章,包括客观分析、诊断分析、多元统计分析、主分量分析、自适应统计天气预报方法、时间序列分析、谱分析、人工神经网络天气预报方法、灰色系统及气象绘图软件等内容。 Fortran代码写在word文档中。-Commonly used meteorological package: This book is divided into 10 chapters, including an objective analysis, diagnostic analysis, mult
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The potential of solving real-time demanding industrial applications, using vision-based
algorithms, drastically grew due to an increasing availability of computational power.
In this thesis a novel real-time, vision-based Blackjack analysis syst
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由于自适应滤波器组的频率响应匹配于信号的统计特性,所以能够得到更为有效的信号分解. 文中根据信号的统计特性,按照低通子带能量最大化的原理设计自适应滤波器组. 结合自适应滤波器组和传统的阈值方法,得到一种更为有效的去噪方法. 实验结果表明,与相同长度的标准滤波器相比,新方法得到了更大的信噪比改善.-Adaptive filter banks as a result of the frequency response to match the statistical properties of th
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采用最小均方准则误差的自适应滤波器,根据输入信号的统计特性自动调整其结构参数,以满足某种最佳准则的要求。-Guidelines for use of minimum mean-square error of the adaptive filter, according to statistical characteristics of the input signal automatically adjusting its structural parameters, in order to m
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均值滤波对高斯噪声的效果
二维自适应维纳滤波对高斯噪声的滤除效果
对加入椒盐噪声的图像分别作均值、中值和维纳滤波 分别使用二维统计滤波对椒盐噪声和高斯噪声进行滤波
利用wrcoef2函数进行图像去噪-Mean filter on the effect of Gaussian noise two-dimensional Adaptive Wiener filtering of the Gaussian noise filtering effect the image to j
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基于统计决策规则提出自适应采样数粒子滤波算法, 在定义综合性能风险函数的基础, 推导出粒子数与滤波误差方差之间的关系式, 使得在跟踪过程中, 可以根据目标的机动情况在线调节粒子数, 以使跟踪性能
达到最优。在Matlab仿真平台下进行了闪烁噪声下的机动目标跟踪实验, 结果表明, 自适应采样数粒子滤波算法是一种有效的机动目标跟踪方法, 跟踪性能较基本粒子滤波算法提高了3.17倍。-Based on statistical decision rules of the number of adap
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英文最新版数字图像处理基础,包括信号与系统,信号表达与量化,快速算法与结构,数字滤波,统计信号处理,自适应滤波,信号重建,时频和多率信号处理。-Emphasizing theoretical concepts, Digital Signal Processing Fundamentals provides comprehensive coverage of the basic foundations of DSP and includes the following parts: Signals
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一篇关于代价参考粒子滤波算法的论文,该算法的优点是不需要任何先验概率知识的假定和重采样过程,可实现并行处理。本文将代价参考粒子滤波与当前统计模型的优点相结合 ,提出一种新的当前统计模型自适应跟踪算法 ,用于非线性非高斯系统的机动目标跟踪。-A particle filter on the reference price of the paper, the advantages of the algorithm does not require any prior knowledge of the
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在分析最小均方自适应滤波器(LMSAF)均方误差(MSE)的收敛性时,文献常用统计自相关矩阵代替瞬时自相关矩阵以简化分析,由此得出的收敛条件比较粗糙。本程序指出:不相关高斯输入情况下,无需如上简化,可依据高斯阶矩因式分解定理得到确切的MSE收敛条件,相应的失调表式能更准确地预报失调-In the analysis of LMS adaptive filter (LMSAF) the mean square error (MSE) convergence, the literature commo
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This paper introduces an extremely robust adaptive
denoising filter in the spatial domain. The filter is based on
non-parametric statistical estimation methods, and in particular
generalizes an adaptive method proposed earlier by Fukunaga
[1]
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《自适应信号处理》一书的课后仿真程序 statistical and adaptive signal processing(the matlab code of <statistical and adaptive signal processing>)
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