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功率谱 welch 方法
there is a simple demo for non parameteric spectral estimation methods-Welch method of power spectrum there is a simple demo for non parameteric spectral estimation methods
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谱估计（建立二阶AR模型）、利用FFT求解功率谱估计、利用AR模型的Yule-Walker方程求解模型参数等-Spectral estimation (the establishment of second-order AR model), using FFT to solve the power spectrum estimation using AR model of Yule-Walker equation model parameters such as
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含有《数字信号处理－理论、算法与实现》一书中所涉及到的绝大部分算法,DSP_FORTRAN,
DSP_C和DSP_MATLAB。DSP_FORTRAN和DSP_C各含有约40个信号处理的子程序。 用C语言编写的MA模型、ARMA模型及最小方差谱估计三个算法程序.-Contain " Digital Signal Processing- Theory, Algorithm and implementation of" one book relates to the v
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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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谱估计,包括自相关,协方差,修正协方差,burg法,另外还有MUSIC和ESPRIT法-Spectral estimation, including the auto-correlation, covariance, Covariance amended, burg method, as well as MUSIC and ESPRIT method
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the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolution
spectral estimation of target reflectivity.
all seven
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在高阶谱分析工具箱是一个M文件集合实施了多种先进的信号处理算法的频谱估计，polyspectral估计，时频分布计算，并包含许多实际应用如时延估计，谐波恢复，参数估计的Volterra（非线性）模型，以及自适应线性预测。其他潜在的应用包括音响，生物医学，经济学，地震勘探，无损检测，海洋学，等离子体物理，雷达，声纳，语音等-The Higher-Order Spectral Analysis Toolbox is a collection of M-files that implement
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—The minimum variance distortionless response
(MVDR) approach is very popular in array processing. It is also
employed in spectral estimation where the Fourier matrix is used
in the optimization process. First, we give a general form of the
M
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经典谱估计方法的MATLAB分析,主要是周期图法及其改进-MATLAB classical analysis of spectral estimation method, the main improvement is the periodogram and
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用修正的周期图平均法对信号进行谱估计,采用汉宁窗,分段比较-spectral estimation：theory and application
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High accuracy peak location and amplitude spectral estimation via tuning APES method- High accuracy peak location and amplitude spectral estimation via tuning APES method
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信号时正弦波加正态零均值白噪声，信噪比10db，信号频率2kHZ，采样频率100kHZ，数据长度N=256。
(1). 用周期图法进行谱估计。-Sine wave signal plus zero-mean normal white noise, SNR 10db, frequency 2kHZ, sampling frequency 100kHZ, data length N = 256.
(1) with the periodogram spectral estimation.
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多种经典谱估计的方法，直接法谱估计，间接法谱估计，Bartlett谱估计，welch谱估计（含多种窗口的实现）。-A variety of classical spectral estimation method, direct method spectrum estimation, spectral estimates of the indirect method, Bartlett spectrum estimation, Welch spectrum estimation (includi
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包括各种经典功率谱估计方法，如welch、周期图等-Including a variety of classic power spectral estimation methods, such as welch, cycle maps
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特征空间方法是现代谱估计的重要方法之一。针对噪声中的复正弦信号的模型，通过特征矢量的方法进行信号空间的分解。通过将信号空间分解为谐波信号空间和噪声信号空间这两个相互正交的空间的方法进行谱估计。Pisarenko,Music,ESPRIT算法都是这一类方法的重要算法。我们通过对不同算法进行比较分析不同算法在各种状况下的表现性能。并针对ESPRIT算法的各种改性和提升进行对比和测试。-Feature space is one of the modern spectral estimation met
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基于QPSK调制的循环谱估计算法，适用于认知无线电中的频谱检测方法。-QPSK modulation cycle based spectral estimation algorithm for cognitive radio spectrum detection method.
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this program will help you to perform spectral estimation using different algorithms such as spectogram
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功率谱估计是利用有限长的数据估计信号的功率谱，广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法，相关法，周期图的改进法，常用的现代谱估计方法有最大熵谱估计，AR模型，MA模型，ARMA模型。经典谱估计适用于长序列的信号，其主要缺陷是描述功率谱波动的数字特征方差性能差，频率分辨率低，现代谱估计适用于短序列的信号，旨在改善谱估计的分辨率，并将其应用于实际地震资料的谱分析。
-Power spectrum estimation is the use of
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基于matlab的功率谱估计实验，对比分析了功率谱估计的相关法、周期图法和welch法-Matlab based power spectrum estimation experiments, comparative analysis of power spectral estimation of the correlation method, periodogram and Welch method
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根据张贤达版《现代信号处理》的SVD-TLS算法，基于奇异值分解的总体最小二乘法, SVD-TLS是一个在现代谱估计中一个基础的算法(SVD-TLS, Spectral estimation)
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