Description: 考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。-consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power Platform: |
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Description: 功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。-Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe Platform: |
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Description: 给定入射信号角度分别为 -22度 ，6度，18度时，不同信噪比情况下各种空间谱估计算法得到的曲线图-given incident signals point to-22 degrees, 6 degrees, 18 degrees, the signal to noise ratio under different space spectral estimation algorithm of the curve Platform: |
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Author:许晓凡 |
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Description: 《现代谱估计原理与应用》，凯依著，一本谱估计方面比较经典的书。-"modern spectral estimation theory and applications", according to Kay, a spectral estimation compared classic book. Platform: |
Size: 8107008 |
Author:李想 |
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Description: 现代谱估计的很好的参考资料，我看了
受益匪浅，你可以-modern spectral estimation a good reference, I read benefited from, you can s Platform: |
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Author:杨粲 |
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Description: 凯依的现代谱估计原理与应用.在本书中介绍了近代谱估计的基本理论和方法。-Kay Modern Spectral Estimation Theory and Application of. In this book introduce the modern spectral estimation of the basic theory and methods. Platform: |
Size: 10994688 |
Author:songzy41 |
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Description: 何振亚的现代谱估计.本书全面系统地论述了现代谱估计技术中的各种理论与方法。全书共九章，内容包括；纯连续谱沽计的AR与ARMA模型参量法、纯离散谱与混合谱估汁的正弦组合与阻尼复指数模型参量法、非参量法谱估计的最小方差法与奇异值/特征值分解处理法、应用信息论的墒谱估汁法、多谱(高阶谱)估计、二维潜估计与多维阵列谱估计。本书取材广泛，内容新颖，理论联系实际，系统性强。
-He Zhenya Modern spectral estimation. This book comprehensively and systematically discusses the modern spectral estimation techniques in a variety of theories and methods. Book a total of nine chapters, including pure continuous spectrum of sell ARMA model with AR parameter method, pure discrete spectrum and mixed spectrum estimation of sinusoidal juice combination of complex exponential model with the damping parameter method, non-parameter method of minimum variance spectral estimation method with the singular value/eigenvalue decomposition treatment method, the application of information theory the entropy spectrum estimation juice method, multi-spectral (HOS) estimates that two-dimensional latent estimation and multi-dimensional spectral estimation array. The book based on a wide range of content of a novel theory with practice, systemic strong. Platform: |
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Author:songzy41 |
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Description: 吴顺君的现代谱估计方法.本书主要介绍近代谱估计的基本理论和方法，既可以作为信
号和信息处理学科高年级学生和研究生的教材，也可以供有关工
程技术人员参考．-WU Shun-jun, modern spectral estimation methods. The book introduces the modern spectral estimation of the basic theory and methods, both can be used as signal and information processing disciplines and postgraduate students in higher grades of materials, can also be related to engineering and technical personnel for reference. Platform: |
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Author:songzy41 |
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Description: 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 Platform: |
Size: 1024 |
Author:lxp |
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Description: 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 vast majority of algorithms, DSP_FORTRAN, DSP_C and DSP_MATLAB. DSP_FORTRAN and DSP_C, each containing approximately 40 signal processing subroutine. Using C language MA models, ARMA model and the minimum variance spectral estimation procedures for the three algorithms. Platform: |
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Author:chao |
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Description: 本书是数字信号处理领域中关于谱估计的最经典著作。（中文版）
作者：S. M. Kay
出版社：Prentice-Ha-This book is the field of digital signal processing on the spectral estimation of the most classic. (Chinese Version) Author: SM Kay Publisher: Prentice-Hall Platform: |
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Author:汪成 |
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Description: 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 Platform: |
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Description: 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 (7)files should be downloaded for the simulation to work.
(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m) Platform: |
Size: 3072 |
Author:shadi rasmi |
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Description: —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
MVDR where any unitary matrix can be used to estimate the
spectrum. Second and most importantly, we show how the MVDR
method can be used to estimate the magnitude squared coherence
function, which is very useful in so many applications but so few
methods exist to estimate it. Simulations show that our algorithm
givesmuchmore reliable results than the one based on the popular
Welch’s method. Platform: |
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Author:bidando |
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Description: 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 Platform: |
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Description: this program will help you to perform spectral estimation using different algorithms such as spectogram Platform: |
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Author:mostafap |
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Description: 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 spectral estimation algorithm to detect them on the advantages and disadvantages Platform: |
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Author:杜倩 |
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