tiaosu_3

GMSK的相关matlab仿真,包括眼图,相位路径,量化等等(GMSK related matlab simulation, including the eye, the phase path, quantification, etc.)

neural network based speech detection

说明：  Matlab实用100个例子，可以帮助初学者入门，很实用的哦，(100 examples of Matlab utility that can help beginners and entry, it is useful Oh,)

说明：  方腔环流计算流体作业,利用MATLAB 完成(The square cavity Circulation computational fluid operation, using MATLAB completed)

Program author: Susan C. Hagness Department of Electrical and Computer Engineering University of Wisconsin-Madison 1415 Engineering Drive Madison, WI 53706-1691 608-265-5739

This a package containing all sources code for matlab for "blotch and scratch detection based on Rank orederd differences" or ROD.

FIR滤波器的MATLAB程序,可用于算法仿真,非常有用.(fir filter matlab program,could be used to develop algorithm,veri useful.)

这是一个系统辨识例子，通过该例子可以深入理解系统辨识的相关知识及MATLAB编程(This is an example of system identification, through the example of system identification can be in-depth understanding and knowledge of MATLAB programming)

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. )

This technique doesn t involve sorting of probabilities as in Shannon-Fano coding. The following formula is used to calculate F (x) which in turn generates the code F (x) = F(x) + p(x) / 2, where F(x) is cummulative sum of probabilities p(x). It can be further understood with the following C code