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: |
Size: 2048 |
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Description: 关于功率谱估计的,周期图法,自相关法,bartlett法和welch法,还有一个复倒谱估计的代码-On the power spectrum estimation, periodogram, since the relevant law, bartlett law and Welch law, there is a Complex Cepstrum estimated code Platform: |
Size: 1024 |
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Description: 在功率谱估计中采用Bartlett法对信号进行功率谱估计。-In the power spectrum estimation method used in Bartlett signal power spectrum estimation. Platform: |
Size: 1024 |
Author:帽子 |
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Description: 随机信号谱分析技术实现 随机信号谱估计及质量评价。
离散随机信号通过线性时不变系统时,系统所产生的响应。
功率谱估计的实现方法:自相关函数法、周期图法、Bartlett法、Welch法、MTM法、MUSIC法
-Random signal spectral analysis of random signal spectral estimation and quality evaluation. Discrete random signals through linear systems, the system generated response. Realization of the power spectrum estimation: autocorrelation function, periodogram, Bartlett law, Welch method, MTM method, MUSIC method Platform: |
Size: 11264 |
Author:李倩 |
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Description: 由地面效应反转和一个单一的垂直阵列源距离和高度确定
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matlab文件的集合来确定与一个单一的垂直阵列的来源范围,并高度。
使用一个分析传播模型来计算上述的阻抗平面的声场。
用途要么转向响应功率(SRP)与Barteltt或MUSIC波束形成器或幅度/相位差异
各麦克风之间。-Source distance and height determination by ground effect inversion and a single vertical array
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A collection of Matlab file to determine the source range and height with a single vertical array.
Uses an analytical propagation model to calculate the sound field above an impedance plane.
Uses either steered response power (SRP) with Barteltt or MUSIC beamformer or the magnitude/phase differences
between the microphones.
Position_Bartlett.m
Bartlett (delay-and-sum) based position estimation. Fixed grid search.
Position_Bartlett_CF.m
Bartlett (delay-and-sum) based position estimation. Adaptive grid search: Coarse-to-fine grid contraction.
Position_MUSIC.m
MUSIC (eigendecomposition of the covariance matrix) based position estimation. Fixed grid search.
Position_MUSIC_CF.m
MUSIC (eigendecomposition of the covariance matrix) based position estimation.
Adaptive grid s Platform: |
Size: 6144 |
Author:李云 |
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