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Efcient Algorithms for Adaptive Capon and APES Spectral Estimation
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主要是BURG法对声信号进行谱估计的程序。
还有利用BURG法求AR模型系数,BURG mainly on the sound signal spectral estimation process. BURG method are the use of AR model coefficients
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从介绍功率谱的估计原理入手,分析了经典谱估计和现代谱估计两类估计方法的原理!各自特点及在Matlab中的实现方法,最后举了一个例子加以说明。
-Introduced the power spectrum from the estimated starting principle, analysis of classical and modern spectral estimation spectral estimation of the principle of two types of e
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本文主要介绍在PCI图像采集系统的基上,由B超序列图像重建出全方61 t4型心动图。通过梯度算法、曲线拟合算法等图像处理技术获得心动图波形函数,采用自回归谱估计分析获得较为满意的结果。谱分析方法为心脏病的临床诊断提供了一种新的方法。
-This paper mainly introduces the PCI-based image acquisition system, the B-sequence of images from the reconstruction of a full si
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提出一种有效的语音增强算法,该算法使用重叠相加FF-r滤波器进行谱幅度估计,给出噪声估计的两个均值参数,此参数适用于任何噪声.而且进行噪声估计无需检测语音间隙,无需VAD的运算过程,克服了单信道噪声
压缩算法的缺点.-An effective speech enhancement algorithm using the overlap-add FF-r filter in spectral amplitude estimation, given the noise mean estimate
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基于矩阵特征值分解的功率谱估计包括特征向量估计和MUSIC估计,这两种估计方法均为非参数估计方法-Based on Eigenvalue Decomposition of power spectral estimation, including estimation and MUSIC eigenvector estimates, these two estimation methods are non-parameter estimation
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对最大炳谱估计(MESE)的几种算法进行了分析和比较,并简要介绍了最
大炳谱估计技术的发展前景。
-Ping spectral estimation on the maximum (MESE) The algorithms are analyzed and compared, and a brief descr iption of the most Ping-spectrum estimation for development.
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本文通过对目前常用的现代谱估计方法一一最大墒谱估计方法中的谱
峰幅度和谱线分辫率两个基本问题的分析和讨论,和经典的傅立叶谱估计方法作比
较,指出在最大墒谱估计方法的应用中应注意的几个问题。
-Based on the currently used modern spectral estimation method 11 method of maximum entropy spectral estimation of the spectral peak amplitude and sp
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介绍了现代功率谱估计中的B哩算法最大嫡谱估计的基本原理,并采用VC+十语言对
功率谱密度(鹅D)进行了仿真。同时比较了BI雌算法和经典谱估计中Bardett周期图法,针对Burg算法中的
模型阶次的选择进行了分析,提出了最佳模型阶次采用最终预报误差(I下E)为准则的结论。
-Introduction of modern power spectrum estimation algorithm B mile maximum entropy spectral estimation prin
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To fully utilize the character of the bioradar echo signal, autocorrelation analysis, spectral estimation methods and time-frequency analysis are presented in this paper. These methods are employed to deal with no one, single people and multi-people
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mean square estimation, entropy, spectral estimation
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从介绍功率谱的估计原理入手分析了经典谱估计和现代谱估计两类估计方法的原理、各自特点及在Matlab 中的实现方法-Start from the introduced power spectrum estimation principle to the principle of classical spectral estimation and spectral estimation are two types of estimation methods, their characteristic
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从介绍功率谱的估计原理入手分析了经典谱估计和现代谱估计两类估计方法的原理、各自特点厦在Maflab中的实现
方法。-Start from the introduced power spectrum estimation principle analysis of the classical spectrum estimation principle of two types of estimation methods and modern spectral estimation, the r
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通过对噪声中正弦信号的现代法频谱分析,来理解和掌握现代谱估计的基本概念,以及学会应用现代谱估计以及改进后的方法。-Modern Law of the sinusoidal signal noise spectrum analysis to understand and master the basic concepts of modern spectral estimation, as well as learn to apply modern spectral estimation, as w
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关于功率谱分析和相关性的论文,多窗口谱估计方法-spectal and correlation analysis,multi-taper spectral estimation
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改进周期图法功率谱估计中的窗函数仿真分析-Improved cycle power spectral estimation of the window function simulation analysis
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Welch法谱估计和参数模型谱估计的MATLAB分析-Welch spectral estimation MATLAB analysis and parameter estimation of the model spectrum
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对信号进行谱估计方法的研究。故要求同学生成不同频率段的信号,将其叠加,并叠加噪声,研究不同谱估计算法对其进行检测上的优缺点-Study the signal spectral estimation methods. It requires students to generate signals of different frequency band, which was superimposed, and superimposed noise, different studies spectr
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music算法对已知数据进行功率谱估计,方法简单。-music algorithm known data for power spectrum estimation method is simple.
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Spectral estimation(谱估计)的目标是基于一个有限的数据集合描述一个信号的功
率(在频率上的)分布。功率谱估计在很多场合下都是有用的,包括对宽带噪声湮没下的信
号的检测-Spectral estimation
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