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wavelet_extimation_trispectrum
- 三谱混合相位子波估计！！ 这是我的一篇文章所涉及到的matlab 源代码，对搞物探的人很有帮助！hosa, hos_2, S4M是程序中用到的工具箱!-three mixed-phase spectra wave estimated! ! This is my one article, which was involved in the Matlab source code, engaged in geophysical helpful to the people! Hosa, hos_2, 4
esprit
- 旋转不变子空间类算法是空间谱估计中的典型算法，它也是特征分解类算法
armodel_psd
- 用AR模型法进行功率谱估计的各种算法比较，包括自相关法，BURG法，ARMA模型估计，PISARENCO谐波分解法
FFTT
- 该文件为功率谱估计的一个子程序，对广大读者很有帮助，现在拿出来和大家一起分享下！
velan
- 速度分析程序，由输入地震数据产生速度谱用于速度估计-Velocity analysis program, enter the seismic data generated by the velocity spectrum for velocity estimation
AR_spectrem
- matlab有关AR过程的线性建模与功率谱估计程序设计-The linear AR process modeling and power spectrum estimation
相干源修正的music算法
- 相干源修正的music算法，用来对相干信号源进行谱估计。-The music coherent source correction algorithm, used to carry out spectrum estimation of coherent sources.
spectrum
- 信号处理中的振幅谱和相位谱以及谱密度估计等-1) Calculation of: - One-sided amplitude spectrum - One-sided phase spectrum - Vector of frequencies. 2) The function can plot: - One-sided amplitude spectrum - One-sided phase spectrum. Two examples are g
e29
- 利用最小方差方法估计复正弦加白噪声得平稳信号的功率谱-After using the method of minimum variance estimate sine smooth white noise to the signal power spectrum
Dual-Spectrum
- LabVIEW 双谱程序,包含程序读取，双谱估计-LabVIEW double spectrum of applications, including application reads, the double spectrum estimation
ESPRIT
- 空间谱估计理论计算法之ESPRIT-DOA，使用了LS—DOA 与TLS-DOA，并对几种常见的DOA方法进行了总结-Spatial spectrum estimation theory calculations of the ESPRIT-DOA, use the LS-DOA and TLS-DOA, DOA and several common methods are summarized
pmusic_for_DOA_estimation
- spectrum.music对象和pmusic函数提供Schmidt提出的MUSIC算法。该算法基于对自相关矩阵的特征分析，用于对频谱的估计。这种谱分析将数据相关矩阵的信息分为信号子空间和噪声子空间。-spectrum.music objects and functions provide MUSIC algorithm pmusic Schmidt raised. The algorithm is based on the correlation matrix of the feature a
capon_beam.m
- capon波束形成，10个阵元，生成方位功率谱进行方位估计-capon beamforming, array element 10 to generate azimuth power spectrum DOA Estimation
dtmf
- 双音多频DTMF 使用功率谱密度估计解码-Dual-tone multi-frequency DTMF decoding using the power spectral density estimation