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Description: 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, nonstationary random process. But in a short period of time can be approximated as smooth. So if Noisy Speech from the short-term spectrum estimate "pure" voice of the short-term spectrum, and reached speech enhancement purposes. As the noise is random process, which can only be estimated based on statistical models based on. Use ear perception of voice spectrum component of the phase sensitive to the characteristics of such speech enhancement algorithms targeted at the rate of short-term spectral estimation.
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Size: 1158 |
Author: 罗飞 |
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Description: 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-stationary over Fading Channels
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Size: 918395 |
Author: 赵力 |
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Description: 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) / 20 + 6 squareWave(0.05(t-1)) + 3
％ + time varying measurement noise
％ using a multi-layer perceptron (MLP) and both the EKF and
％ the hybrid importance-samping resampling (SIR) algorithm.
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Size: 40960 |
Author: Lin |
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Description: 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 and
power quality enhancement are presented. The proposed scheme
can be applied for signal analysis both under stationary and nonstationary
conditions. Based on digital time-domain simulations,
applications of the filter for a) sinusoidal waveform peak detection,
b) harmonic identification/detection, c) detection/extraction
of individual components of a signal, d) instantaneous reactive
current extraction, e) disturbance detection, f) noise reduction in
zero-crossings detection, and g) amplitude (phase) demodulation
for flicker estimation, are presented.
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Size: 153503 |
Author: yangyansky |
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Description: 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, nonstationary random process. But in a short period of time can be approximated as smooth. So if Noisy Speech from the short-term spectrum estimate "pure" voice of the short-term spectrum, and reached speech enhancement purposes. As the noise is random process, which can only be estimated based on statistical models based on. Use ear perception of voice spectrum component of the phase sensitive to the characteristics of such speech enhancement algorithms targeted at the rate of short-term spectral estimation.
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Size: 1024 |
Author: 罗飞 |
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Description: 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-stationary over Fading Channels
Platform: |
Size: 918528 |
Author: 赵力 |
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Description: 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) / 20 + 6 squareWave(0.05(t-1)) + 3
％ + time varying measurement noise
％ using a multi-layer perceptron (MLP) and both the EKF and
％ the hybrid importance-samping resampling (SIR) algorithm. -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)/20+ 6 squareWave (0.05 (t-1 ))+ 3+ time varying measurement noise using a multi-layer perceptron (MLP) and both the EKF and the hybrid importance-samping resampling (SIR) algorithm.
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Size: 40960 |
Author: Lin |
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Description: 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
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Size: 164864 |
Author: jerial |
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Description: 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 SIGNALTO NOISE RATIO. IT HAS BEEN APPLIED TO VARIOUS TYPES OF SINALS FROM INDUSTRY AND ACHIEVED GREAT SUCCESS. IT EVOLVES FROM THREE SOURCES: FRANCE SCIENTIST G RILLING, MATLAB FILE EXCHANGE CENTRE BY MR TAN AND TAIWAN NATIONAL CENTRAL UNIVERSITY CENTRE.
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Size: 1586176 |
Author: maya |
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Description: 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 estimation of the power spectral density of noise for mixtures of nonstationary signals IPSJ SIG Technical Reports, 2004 ,131 ,211- 216
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Size: 3072 |
Author: yao wang |
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Description: The celebrated Kalman filter, rooted in the state-space formulation or linear
dynamical systems, provides a recursive solution to the linear optimal filtering
problem. It applies to stationary as well as nonstationary environments. The
solution is recursive in that each updated estimate of the state is computed from
the previous estimate and the new input data, so only the previous estimate
requires storage. In addition to eliminating the need for storing the entire
1
past observed data, the Kalman filter is computationally more efficient than
computing the estimate directly from the entire past observed data at each step
of the filtering process.
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Size: 395264 |
Author: zhangjianrong |
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Description: Tracking of Nonstationary Noise Based on Data-Driven Recursive Noise Power Estimation
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Size: 458752 |
Author: madin |
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Description:
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Description.doc在zip文件。-Contains m-files to train and implement the noise tracking algorithm described in:
[1] J.S. Erkelens and R. Heusdens, "Tracking of nonstationary noise based on data-driven recursive noise power estimation", IEEE Trans. Audio, Speech & Lang. Proc., Vol. 16, No. 6, pp. 1112-1123, August 2008.
See Description.doc in the zip-file.
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Size: 128000 |
Author: zaaa |
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Description: 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
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Size: 120832 |
Author: jack |
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Description: 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
for the system identification problem. It ensures stable behavior
during convergence as well as improved tracking performance
in the smoothly time-varying environments.
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Size: 302080 |
Author: behrouz |
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Description: 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 package name (or directory) is specified in parentheses.
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Size: 374784 |
Author: Linbo |
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Description: 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
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Size: 142336 |
Author: |
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Description: 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
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Size: 167936 |
Author: |
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Description: 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.
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Size: 916480 |
Author: 笨鸟奋飞 |
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Description: nonstationary seismic deconvolution
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Size: 2048 |
Author: lutfihrnd |
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