搜索资源列表
traditionalsp
- 语音信号的频域处理,语音虽然是一个时变、非平稳的随机过程。但在短时间内可近似看作是平稳的。因此如果能从带噪语音的短时谱中估计出“纯净”语音的短时谱，即可达到语音增强的目的。由于噪声也是随机过程，因此这种估计只能建立在统计模型基础上。利用人耳感知对语音频谱分量的相位不敏感的特性，这类语音增强算法主要针对短时谱的幅度估计。 -voice signals in the frequency domain processing, voice is a time-varying, nonstationa
tfarma10
- 用于模拟时变非平稳的ARMA过程，根据Doppler频移和时变参数计算ARMA过程的系数，可以用来模拟非平稳的多径衰落信道-used to simulate nonstationary time-varying ARMA process, according to Doppler frequency shift and the time-varying parameters ARMA process coefficient, can be used to simulate the non-sta
hybridSIREKF
- To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] ％ + 8cos(1.2t) + process noise ％ y(t) = x(t)^(2) / 2
A Nonlinear Adaptive Filter for Online Signal
- This paper presents various applications of a nonlinear adaptive notch filter which operates based on the concept of an enhanced phase-locked loop (PLL). Applications of the filter for online signal analysis for power systems protection, control a
HHT
- 台湾国立中央大学开发的EMD-HHT算法,其中,EMD-HHT的创始人为该中心的主任.-EMD-HHT IS SPECIALLY DESIGNED FOR PROCESSING NONSTATIONARY AND NONLINEAR SIGNALS. IT CAN DECOMPSE SIGNALS AND THEN RECONSTRUCT SIGNALS ACCORDING TO SOME CRITERIA. AFTER THE PROCESS, SIGNALS WOULD HAVE HIGH
linphone-analyze
- 主要介绍linphone的代码结构介绍，并且分析的相关的关键函数，附图，有助于整体了解linephone。-Introduces the structure introduced linphone code, and analysis related to key functions, drawings, to help the overall understanding of linephone.
NonstationaryChannelEstimation
- Nonstationary Channel Estimation using a Kalman Tracking Filter 卡尔曼滤波算法的一个一个用，可用作 efk学习之用-Nonstationary Channel Estimation using a Kalman Tracking Filter Kalman filter algorithm one by one, and can be used as a learning efk
herbordt2003
- Herbordt, W. Nakamura, S. & llermann, W. Multichannel estimation of the power spectral density of noise for mixtures of nonstationary signals IPSJ SIG Technical Reports, 2004 ,131 ,211 - 216-Herbordt, W. Nakamura, S. & llermann, W. Multichannel esti
TASL_16(6)_1112-1123
- Tracking of Nonstationary Noise Based on Data-Driven Recursive Noise Power Estimation
noisetracking
- 包含M文件，培训和跟踪落实的噪音中描述的算法： [1] J.S.厄克伦斯和R. Heusdens，“非平稳噪声跟踪基于数据驱动的递归噪声功率的估计”，IEEE期刊。音频，语音卷。 16，第6页。1112年至1123年，2008年8月。 见Descr iption.doc在zip文件。-Contains m-files to train and implement the noise tracking algorithm described in:
Noise_Tracking
- 根据” J.S. Erkelens and R. Heusdens, "Tracking of nonstationary noise based on data-driven recursive noise power estimation”所开发的源码-noisetracker based on data-driven recursive noise power estimation
TrackingofTimeVaryingChannelsUsingTwoStepLMSTypeA
- This paper presents a modified version of the twostep least-mean-square (LMS)-type adaptive algorithm motivated by the work of Gazor. We describe the nonstationary adaptation characteristics of this modified two-step LMS (MG-LMS) algorithm fo
analyze-nonstationary-time-
- 分析非平稳时变的实证分解法（EMD）的基础上产生的适应性，本征模函数（IMF）的数据，处理的数据。-analyze the non-stationary time-varying data processed by the Empirical Decomposition Method (EMD), which generates the adaptive basis, Intrinsic Mode Functions (IMF), from the data. Each chapter pa
jdpgj
- 噪声中非平稳信号的频谱分析，基于MATLAB，实验报告一份-Nonstationary noise frequency spectrum analysis, based on MATLAB, a lab report
fpwxh
- 噪声中非平稳信号的频谱分析，基于MATLAB，实验报告一份-Nonstationary noise frequency spectrum analysis, based on MATLAB, a lab report
shipingshangshiyang1
- 求信号的时频熵，对非平稳信号进行emd分解后，求时频熵，得出其故障特征-For the signal s time-frequency entropy, the nonstationary signals are EMD decomposition, and time-frequency entropy, the fault feature
Hilbert
- 对于非平稳振动信号 ，通过采用hilbert变换，得到其边际谱的labview 程序-For the nonstationary vibration signals, by the use of the Hilbert transformation, get the marginal spectrum of labview program
10.1.1.11.5905
- This paper compares performance of nite impulse response (FIR) adaptive linear equalizers based on the recursive least-squares (RLS) and least mean square(LMS) algorithms in nonstationary uncorrelated scattering wireless channels. Simulation resul
010
- 小波分析在交通领域的应用（汽车变速器轴承故障诊断、变速器齿轮故障诊断和车辆非平稳振动分析）-Wavelet analysis in the application of the traffic (auto transmission bearing fault diagnosis, transmission gear fault diagnosis and vehicle the nonstationary vibration analysis)
nonstationary-deconvolution
- nonstationary seismic deconvolution