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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
bss-sond
- 提出了一种新的自适应盲源分离算法。在无噪音实时两源两传感器的情况下, 一旦观 测信号被白化, 只需要辨识一个特定的旋转矩阵就可以完成盲源分离, 并给出了能表征该旋转矩阵的角的自适应估计器。仿真结果表明, 当满足源峭度和不为零的条件时, 这种方法是一种稳定的和有效的分离算法。-proposes a new adaptive algorithm for blind source separation. In the absence of real-time two noise sources t
martin2001.zip
- 经典噪声估计，用于speech enhancement,noise estimation algorithm in speech enhancement
CEinCommun
- 各种信噪比估计算法，包括ls，lms，qam，噪声统计等-A variety of SNR estimation algorithms, including ls, lms, qam, noise statistics, etc.
MmseCohen
- 利用I.Cohen提出的短时先验信噪比（priori SNR）估算的语音增强法，附有相应程序和文献。-I. Cohen raised by the use of short-term a priori signal to noise ratio (priori SNR) estimation of the speech enhancement method, with the corresponding procedures and documentation.
chap08
- ex6_1 ～ ex6_3二项分布的随机数据的产生 ex6_4 ～ ex6_6通用函数计算概率密度函数值 ex6_7 ～ ex6_20常见分布的密度函数 ex6_21 ～ ex6_33随机变量的数字特征 ex6_34 采用periodogram函数来计算功率谱 ex6_35 利用FFT直接法计算上面噪声信号的功率谱 ex6_36 利用间接法重新计算上例中噪声信号的功率谱 ex6_37 采用tfe函数来进行系统的辨识，并与理想结果进行比较 ex6_38 在置信度为0
wavelet
- SPEECH ENHANCEMENT BASED ON WAVELET DENOISING Abstract: - Noise is an unwanted and inevitable interference in any form of communication. It is non-informative and plays the role of sucking the intelligence of the original signal. Any kind of
MUSIC
- 求一个复正弦加白噪声随机过程的信号： xn=exp(j*pi*n-j*pi)+exp(j*w0*n-j*0.7*pi)+v v(n)为零均值白噪声。S/N=10dB。取P=3，构造4阶的自相关矩阵R的基于MUSIC算法的功率谱估计的MATLAB程序-For a complex sinusoid plus white noise of the signal random process: xn = exp (j* pi* nj* pi)+ exp (j* w0* nj* 0.7* pi)+ v
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
eurospeech1993_martin[1]
- Rainer 的93年文章，噪声准确估计算法-Rainer in the 93 articles, accurate noise estimation algorithm
01576960Beaulieu
- 通过MATLAB软件；通过仿真得出性能曲线；从而比较bpsk的性能-The bit-error rate (BER) of binary phase-shift keying in Rayleigh fading, using the Alamouti transmission scheme and receiver selection diversity in the presence of channel-estimation error, is studied. Closed-
noise_reduction_technique
- duction techniques proposed in the art are expressed as a spectral gain depending on the a priori SNR. In the well-known decision- directed approach, the a priori SNR depends on the speech spec- trum estimation in the previous frame. As a conse
lee_vad
- 一个基于MMSE噪声后验概率估计的话音激活检测算法.-A voice activity detector with MMSE a posteriori noise estimation and Decision-Directed SNR estimation
10.1.1.3.8227
- Noise Estimation by Minima Controlled Recursive Averaging for Robust Speech Enhancement
NoiseLevel
- this matlab code for noise estimation-this is matlab code for noise estimation
sin-signal-phase-noise
- 该资料是一个matlab仿真程序。实现对噪声中正弦信号相位的估计。利用matlab仿真得到的PDF估计 对不同的信噪比（SNR）情况进行Monte Carlo仿真-This information is a matlab simulation program. Realize sine signal phase noise estimation. Obtained by simulation using matlab PDF estimates different signal to nois
MMSE
- 一种基于最小均方误差的噪声估计算法，实现语音增强，算法可以直接使用，已调试通过。-Based on the minimum mean square error of noise estimation algorithm, speech enhancement algorithm can be used directly, have been debug through.
low-complexity-noise-estimation
- 一种低复杂度的噪声谱跟踪算法，用于语音增强和语音识别中，文件夹内有参考文献。-A low noise spectral tracking algorithm complexity, for speech enhancement and speech recognition, there are references folder.
Channel-Estimation
- 信道估计,we will assume that the receiver knows your name, i.e., it knows s (and of course x). Based on this knowledge, the receiver will estimate h using the MVU and MMSE method (for the latter it is also assumed that the variance of the noise σ2 is
17513224LDPC_BSN
- 实现LDPC码使用AWGN和BSN信道噪声估计-Realize the LDPC code using the AWGN and state-controlled bharat sanchar nigam channel noise estimation