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MP(2b)
- a detector for colored gaussian noise signal
car
- 汽车车牌的图像识别。 根据车牌凸角轮廓特征，采用MPP算法进行车牌倾斜校正；采用彩色图像分割方法，最大限度的去除图像噪声干扰；设计了基于神经网络的多种彩色背景车牌字符识别方法，取得了良好的效果。-Image recognition of vehicle license plates. According to plate convex contour feature, the use of MPP plate tilt correction algorithm using color imag
non_Gauss_signal_analyse
- 非高斯信号的分析，包括非参数法的双谱估计，基于参数建模的双谱估计，以及基于双谱的有色高斯噪声信号检测。-Non-Gaussian signal analysis, including non-parametric approach of bispectrum estimation, based on modeling bispectrum estimation parameters, and the bispectrum-based signal detection of colored Gau
weilalvbo
- 对彩色辣椒图像进行模糊，增加加性噪声，然后利用维纳滤波恢复-first，we blur the Colored peppers image, increase the additive noise, and then use the Wiener filter to restore
RIV
- 适当选择辅助变量，使之满足相应条件，参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当，但辨识效果却比最小二乘法好的多。尤其当噪声是有色的，而噪声的模型结构又不好确定时，增广最小二乘法和广义最小二乘法一般都不好直接应用，因为他们需要选用特定的模型结构，而辅助变量法不需要确定噪声的模型结构，因此辅助变量法就显得更为灵活，但辅助变量法不能同时获得噪声模型的参数估计。-Choose appropriate secondary variables, meet the relevant c
project
- Visual Cryptography is based on cryptography where n images are encoded in a way that only the human visual system can decrypt the hidden message without any cryptographic computations when all shares are stacked together. This paper presents
4ordermusic11
- 针对这些问题,在传统的四阶累积量多重信号分类（multiple signal classification,MUSIC）算法基础上提出了一种改进的算法。该算法根据四阶累积量矩阵构成的规律,去除了原四阶累积量矩阵的数据冗余, 有效地减小了运算时间,为其实际应用提供了必要条件。计算机仿真和实测数据仿真的结果表明,本改进算法可以快速地实现虚拟阵列扩展,同时对有色高斯噪声也 有一定的抑制-Aiming at these problems, an improved algorithm based on s
LSyouse
- 最小二乘辨识方法matlab程序（有色噪声）(Least squares identification method matlab program (colored noise))
chap4
- 极大似然参数辨识，以及递推的极大似然参数估计应用示例（加上有色噪声）。(Maximum likelihood parameter identification, and recursive maximum likelihood parameter estimation application examples (plus colored noise).)
白噪声、M序列和噪信比程序
- 白噪声及有色噪声序列、M序列的产生程序，噪信比计算程序(White noise and colored noise sequence, M sequence generation procedure, noise to noise ratio calculation program)
噪声建模
- 文件为通信系统中散粒噪声以及高斯有色噪声matlab建模(File Modeling for Particle Noise and Gauss Colored Noise in Communication System by MATLAB)