Description: 维纳滤波处理源代码，图像处理的时候肯定要用到，也叫做自适应滤波！！1-Wiener filter source code, image processing time certainly have to use, also known as adaptive filtering! ! 1 Platform: |
Size: 1024 |
Author:柳杨 |
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Description: 维娜滤波算法，降噪语音残留音乐噪声很小，可惜失真还是有点大-Wei-na filtering algorithm, noise reduction Voice small residual noise music, but it is somewhat large distortion Platform: |
Size: 1024 |
Author:yaohua |
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Description: 基于DD算法的先验信噪比估计的维纳语音降噪完整程序，包括语音分帧，动态信噪比估计,噪声估计更新和帧的重构。很完整。-DD algorithm based on a priori signal to noise ratio is estimated that the integrity of the process noise reduction Wiener voice, including voice sub-frame, dynamic signal to noise ratio estimation, noise estimation and frame reconstruction update. Complete. I hope to share together.谢谢. Small text. Platform: |
Size: 3072 |
Author:lazer |
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Description: 结合维纳滤波的小波降噪方法，滤波效果很好-Combination of Wiener filtering of wavelet noise reduction method, filter works well Platform: |
Size: 234496 |
Author:hanzhibin |
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Description: 实现了图像的高斯加噪和椒盐加噪，并对加噪后的图像进行均值降噪、中值降噪和维纳降噪-Achieve high image noise and salt and pepper plus noise Apsley, and after the image with noise noise mean, median noise reduction and noise reduction Wiener Platform: |
Size: 527360 |
Author:沙漠之舟 |
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Description: 对音频进行短时傅里叶变化，维纳滤波后还原，可以滤去20db不相关噪声-Short time Fourier transform of the audio, after the reduction Wiener filter can filter out irrelevant noise 20db Platform: |
Size: 4096 |
Author:sj |
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Description: 语音增强是影响语音识别系统性能的重要成分。为了比较语音增强算法的性能，采用Matlab软件进行了数值仿真，对不同噪声环境下的语音用3种不同的方法进行降噪，采用信噪比、端点检测等方法来降噪效果，并对几种增强算法的性能进行了比较分析。结果表明，在变噪声环境下短时谱MMSE法最佳，谱减法和维纳滤波法各有优点。-Speech enhancement of voice recognition is an important component of system performance. In order to compare the performance of speech enhancement algorithm using the Matlab software, a numerical simulation, speech under different noise environments with 3 different methods of noise reduction, the use of signal to noise ratio, endpoint detection method to the noise reduction effect, and a few kinds of enhanced performance of the algorithm were compared. The results show that changing the noise environment in the MMSE method was the best short-term spectrum, spectral subtraction and Wiener filtering methods have their advantages. Platform: |
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Author:static |
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Description: The problem of noise reduction has attracted a
considerable amount of research attention over the past several
decades. Among the numerous techniques that were developed,
the optimal Wiener filter can be considered as one of the most
fundamental noise reduction approaches, which has been de-lineated in different forms and adopted in various applications.
Although it is not a secret that the Wiener filter may cause some
detrimental effects to the speech signal (appreciable or even sig-nificant degradation in quality or intelligibility-SINCE we are living in a natural environment where noise
is inevitable and ubiquitous, speech signals are gener-ally immersed in acoustic ambient noise and can seldom be
recorded in pure form. Therefore, it is essential for speech
processing and communication systems to apply effective nois Platform: |
Size: 1170432 |
Author:andyzygg |
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Description: 采用维纳滤波实现降噪的详细描述，包含单个话筒与多个话筒两种情形-Wiener filtering noise using a detailed description of a single microphone and a plurality of microphones including two cases Platform: |
Size: 1168384 |
Author:祁才君 |
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Description: time-invariant degradation models and stationary
signals and noise, the classical Fourier domain Wiener
filter, which can be implemented in O(N logN) time, gives the
minimum mean-square-error estimate of the original undistorted
signal. For time-varying degradations and nonstationary processes,
however, the optimal linear estimate requires O(N2) time
for implementation. We consider filtering in fractional Fourier
domains, which enables significant reduction of the error compared
with ordinary Fourier domain filtering for certain types
of degradation and noise (especially of chirped nature), while
requiring only O(N logN) implementation time. Thus, improved
performance is achieved at no additional cost. Expressions for
the optimal filter functions in fractional domains are derived,
and several illustrative examples are given in which significant
reduction of the error (by a factor of 50) is obtained. Platform: |
Size: 382976 |
Author:baibai |
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Description: Ngo,Kim Variable speech distortion weighted multichannel wiener filter based on soft output voice activity detection for noise reduction in hearing aids matlab 实现-Ngo,Kim Variable speech distortion weighted multichannel wiener filter based on soft output voice activity detection for noise reduction in hearing aids matlab code Platform: |
Size: 5120 |
Author:wuchao |
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Search - wiener noise reduction