saturation

自适应滤波，LMS算法，matlab编写，线谱提取(Adaptive filtering, LMS algorithm, matlab prepared line spectrum extraction)

清华大学数学实验之一元与多元回归分析之幻灯片与MAT源码(Tsinghua University, one math test and multiple regression analysis element of the slide with the MAT-source)

Spectral Analysis using the FFT

用Matlab实现史密斯圆图的动态展示，包括单枝节和双枝节匹配等 程序已调通(smith tu)

利用matlab进行FFT和IFFT计算线性卷积，并得到其曲线(Using matlab FFT and IFFT calculations for linear convolution, and get the curve)

matlab code to identify the language in the files

波形的合成与分解。 用matlab编的。可以合成三角波，方波，并分析它们的频谱。有详细的说明。(Synthesis and degradation of the waveform. Using matlab. Can be synthesized triangle wave, square wave, and analyze their spectrum. There are detailed instructions.)

MATLAB应用大全一书的配书光盘第二十章源代码,该文件夹收录了本书涉及的源文件。收录了一些优秀应用实例信息，便于读者学习了解。(MATLAB application of a book chapter 20 CD attached with books source code, this folder contains the book files. Includes some excellent examples of application information, convenient for readers to learn. )

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. )

image swirl,input angle,fuction and output swirl