搜索资源列表
MMSE_IC
- 基于LMS(最小均方误差算法)的自适应滤波 基于LMS(最小均方误差算法)的自适应滤波-based on the LMS (MMSE) algorithm based on the LMS adaptive filtering (minimum mean square error algorithm) the adaptive filtering based on the LMS (minimum mean square error algorithm) Adaptive Filter
LSAgai
- 对数谱最小均方误差语音增强算法(LSA-MMSE),对加入有音无音判决进一步提高信噪比,消噪效果非常好。适合各种平稳噪声。-right spectrum minimum mean square error speech enhancement algorithm (LSA - MMSE). sound right to a sound judgment without further improve signal-to-noise ratio, denoising effect was very
LSAcausal
- 语音增强算法,基于LsA-MMSE方法,并对其先验信噪比估计器进行了修改,具体过程参看Isal的论文。语音间隙间的音乐噪声也消除了。-speech enhancement algorithms, based on LsA - MMSE, and signal-to-noise ratio of its prior estimate for the changes, See specific process Isal theses. Voice gap between the music also
MMSE-denoising
- MMSE语音增强算法,研究此领域的人不可不看哦-MMSE voice enhancement algorithms, and research in this area who can not flash open her cloak
DECMMSE
- 解相关DEC和MMSE误码率曲线对比,包含LMS算法,以及硬判决-decorrelation DEC and MMSE BER curves contrast, contains LMS algorithm, and the hard decision
mymatla3
- 几种语音增强关于mmse算法,维纳滤波,掩蔽增强
mmse(by3)
- mmse改进的算法,关于语音增强的更进一步的算法
mmse_stsalog
- 语音增强算法mmse-logsa,主要原理可参考EPHRAIM,85的文献,
vblast_decoder_MMSE_IC
- MMSE译码算法 用matlab进行仿真-MMSE decoding algorithm matlab simulation
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
VariableNoisySpeechEnhancementAlgorithmPerformance
- 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
mmsenew
- 基于普相关的语音增强算法mmse的修改,还可以-Based on the S & P-related speech enhancement algorithm
mimo-vblast
- mimo系统中 zf mmse检测算法的仿真-mimo zf mmse
matlab-LTE-xindaoguji
- 实现LTE下行信道估计,有LS、LMMSE、SVD-MMSE和线性插值、二阶插值、三次样条插值等算法-LTE downlink channel estimation, LS, LMMSE, SVD-MMSE and linear interpolation, second order interpolation, cubic spline interpolation algorithm
ZF-MMSE
- ZF-MMSE检测算法的比较。观察其算法复杂度。-ZF-MMSE detecting
SC_FDE
- 单载波频域均衡,迫零算法以及MMSE算法的比较-Single-carrier frequency domain equalizatio,compare zeros and MMSE
Laplace
- 传统的短时谱估计语音增强算法通常假设语音谱分量相互独立,没有考虑语音谱分量间的相关性。针对这 一问题,该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先,假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布,以此利用谱分量间的相关性;在此基础上,利用多元随机矢量的高斯尺度混合模型表 示,推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式;并进一步推导了基于该分布模型的 语音存在概率,对最小均方误差估计子进行修正。实验结果表明,该算法
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.
MMSE_fse
- MMSE算法,基于MATLAB 的 关于导频MIMO-OFDM 信道的基本算法-MMSE algorithm based on MATLAB MIMO and OFDM channel algorithm about the pilot
ofdm
- 该程序进行了简单的LMS信道估计,没有加入与MMSE等其他信道估计算法的比较;-The program for a simple LMS channel estimation, there is no comparison algorithm and MMSE join other channels and other estimation