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说明：  matlab实例应用，主要列举了matlab的常用功能，绘图、矩阵运算等等(matlab example application, the main common features listed matlab, graphics, matrix operations, etc.)

MATLAB函数文档,包括了很多例子,非常好的学习资料(MATLAB function files, including many examples, very good learning materials)

简单的Preisach模型，在Matlab中的建模，用于压电陶瓷输入输出曲线的拟合。(Simple Preisach model in Matlab modeling for piezoelectric ceramic input and output curve fitting.)

粒子滤波方法用于跟踪，很易看懂的程序，建议初学者下载学习(Particle filter for tracking, it is easy to understand the procedures recommended for beginners to learn to download)

详细介绍了如何使用matlab处理图形图像，让你轻松掌握GUI，清楚如何操作(Described in detail how to use matlab handle graphic images, allows you to easily grasp the GUI clear how to operate)

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

16QAM_AWGN matlab程序，大家可以看看这个算法

Digital image processing, add noise on image and noise elimination.

韶山电力机车三段桥在电感情况下波形三段桥仿真波形，电动机等效为电感，反电动势(Shaoshan electric locomotive segment bridge waveform in the inductive case of the three sections of the bridge simulation waveform, the motor equivalent inductance, back electromotive force)

Gravitational Search algorithm