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2LMSE最小均方误差算法
- 模式识别中关于 LMSE最小均方误差算法 一中算法-pattern recognition on the wan minimum mean square error algorithm an algorithm
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
minimumvar
- 基于最小均方误差准则的LMS算法对淹没在噪声中的信号进行的有效的提取.-based on the minimum mean square error criteria LMS algorithm drowned in the noise signal the effective extraction.
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
speech-enhancement
- 本资料涵盖了几乎所有的语音增强方面的方法，主要有谱减法，听觉掩蔽，最小均方误差，维纳滤波以及一些非主流的方法，这些对于研究语音增强的人来说是很有帮助的-The data cover almost all aspects of speech enhancement methods, the main spectral subtraction, auditory masking, minimum mean square error, Wiener filtering as well as some
simo
- important minimum mean square error of LMS
lmssnr
- 一个用matlab来实现的最小均方误差的信噪比和信干噪比-Using matlab to achieve the minimum mean square error, signal to noise ratio and signal to interference noise ratio
MMSE
- 本程序为经典MMSE方法，引自Y. Ephraim and D.Malah “Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator-Ephraim and D.Malah “Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator
C_ZTQ
- 基于最小均方误差的助听器语音去噪算法, 用于以最大程度消除助听器接受的语音杂音.-Speech denoising algorithm based on the minimum mean square error of a hearing aid for the hearing aid acceptable voice murmur eliminated to the greatest extent.
LMS
- 实现FIR系统中的最小均方误差自适应滤波算法（LMS）,并通过误差曲面研究其性能。-FIR system in the minimum mean square error adaptive filtering algorithm (LMS), and study its performance through the error surface.
Digital
- 本程序用于计算和输出地理数据的各种数字特征，包括平均数，中位数，极差，方差，均方差，变异系数，偏度，峰度等，从而可绘制它的频率直方图，累积频率图 -This procedure for calculation and output of a variety of digital geographic data characteristics, including mean, median, range, variance, mean square error, coefficient of
MIMO-OFDM
- 正交频分复用，最小均方误差信道估计算法。-Orthogonal frequency division multiplexing, minimum mean square error channel estimation algorithm.
basic-function-generator
- basic mean value and mean square error
kalman
- 卡尔曼滤波是以最小均方误差为估计的最佳准则，来寻求一套递推估计的算法，它适合于实时处理和计算机运算。 -Kalman filter based on minimum mean square error for the estimation of the best criteria to seek a recursive estimation algorithm, which is suitable for real-time processing and computing.
facedetection
- Abstract—In this paper, a new lossy technique based on wavelet transform for compression of breast ultrasound images is presented. The experiments are performed on 16 different wavelet functions and the quality of reconstructed images is eval
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
lms
- 对一个语音信号进行加噪，然后使用lms最小均方误差法去噪-For a voice signal noise, and then use the minimum mean square error method lms de-noising
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.
mse_snr
- 基于蒙洛特实验，通过不同的信噪比，得到信号比和均方根误差的实验结果。-Based on the Mengluote experiment, through different signal to noise ratio, experimental results are obtained to signal ratio and the root mean square error.
Ch-2.-Matlab-Codes
- 无源定位的一些仿真代码，包括时TOA、TDOA、DOA、RSS。2维的线性、非线性、极大似然算法和克拉美罗下界、均方误差的代码-Passive targeting some simulation code, including when TOA, TDOA, DOA, RSS. Two-dimensional linear, nonlinear, maximum likelihood algorithm and Cramer-Rao lower bound, mean square error