搜索资源列表
Spectral_Methods_In_Matlab
- 谱方法的一本教程及书中配套matlab源码-Spectral method, and a tutorial book, matching matlab source code
welch
- 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
Spectral-estimation-of-AR-model-and-music-esprit.r
- 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
spectral_method_program
- 用matlab编写的谱方法基本程序,相信对大家有用。-Some basic matlab programs on spetral methods
Spectral_Methods_in_MATLAB(Trefethen)
- 一本关于用谱方法求解偏微分方程的matlab实现。-a book on using spectral method solve partial differential equations
PSD
- 利用最大值熵法和PSD函数法分别求信号的功率谱密度。-The use of maximum entropy method and the PSD function method for seeking signals in the respective power spectral density.
FM-HHT
- 基于HHT方法的模拟调频信号的hilbert谱分析-HHT-based method of analog FM signal hilbert spectral analysis
MPD
- MPD is a decomposition spectral method for seismic data and also for signal analysis too. It works based on atoms, book, and dictionary. We start from WPP Pursuit, incorporating another four files in a one worksheet on MATLAB.
part3
- The recent development of a meshless method by using radial basis functions will be reported in this talk. Application to both multivariate interpolation and solving partial differential equations have demonstrated the spectral convergence of the
silenceRemoval
- his a simple method for silence removal and segmentation of audio streams that contain speech. The method is based in two simple audio features (signal energy and spectral centroid). As long as the feature sequences are extracted, as thresholding app
pisa
- 在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。-On the computer to generate a
pisare
- 用Pisarenko谐波分解法估计一组实验数据的正弦频率及幅度。得出真实功率谱密度。-Pisarenko harmonic decomposition method with a set of experimental data estimate the sinusoidal frequency and amplitude. The true power spectral density obtained.
HHT_power-system_power-quality_disturbances-detect
- 优秀论文及配套源码。Hilbert-Huang变换(HHT)是一种新的非平稳信号处理技术，该方法由经验模态 分解(EMD)与Hilbert谱分析两部分组成。任意的非平稳信号首先经过EMD方法处理后被分解为一系列具有不同特征尺度的数据序列，每一个序列称为一个固有模态函数(IMF)，然后对每个IMF分量进行Hilbert谱分析得到相应分量的Hilbert谱，汇总所有Hilbert谱就得到了原信号的谱图。该方法从本质上讲是对非平稳信号进行平稳化处理，将信号中真实存在的不同尺度波动或趋势逐级分解出来，最
hpec07_cuda_final
- pdf file see Accelerating MATLAB with CUDA The MATLAB scr ipts solve the Euler equation in vorticitystream function using a pseudo-spectral method
autofam
- The M-file computes the spectral correlation function or cyclic spectral density using the FFT accummulation method.
feature
- 该文件包含了一些常用的声辐射噪声的特征提取方法，包括波形的包络特征，高阶谱特征，分形维特征，奇异指数特征等。-The document contains some common acoustic feature extraction method of noise, including waveform envelope characteristics, higher order spectral features, characteristic of fractal dimension, si
autofam.m
- FAM Method. This Method compute spectral correlation density function. This method is based on modifications of time smoothed cyclic cross periodogram.
Spectral-books-codes
- 在spectral method for matlab、Spectrral and High-order methods in Engineering、Matlab computing science的书中附带程序-computational spectral method books code
zishiyingjiangzao
- 这里介绍了一种基于自适应滤波的噪声抵消法，采用归一化最小均方误差算法，采集实际噪声环境下各种不同信噪比的带噪语音样本进行降噪处理，实验结果表明，处理后信号的信噪比得到了较大程度的提高，大大改善了听音效果，具有很高的可懂度，且语音自然度好，没有失真；并与谱减法进行了比较，自适应噪声抵消法的降噪幅度比谱减法有一定提高，在听音效果上，用自适应噪声抵消法处理后的语音在清晰度，自然度方面优于谱减法。-Here a novel adaptive noise cancellation method using
Spectral Methods in Matlab
- 采用谱元法计算声传播问题，带matlab代码(spectral method used for wave transmission problems, with matlab code)