liuxingshibie

A 99 LINE TOPOLOGY OPTIMIZATION CODE BY OLE SIGMUND

多重信号分类算饭 多重信号分类算饭 多重信号分类算饭 多重信号分类算饭(music algorthm music algorthm)

本电子书对matlab的基本用法静心了详尽介绍，适合初学者的教程也适合研究者的参考资料(This book introduced the use of matlab)

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. )

这些录音由Thorsten Zander，柏林，和蔼可亲地提供；如果你使用这些录音的出版物，请引用： 赞德，T. O.，Kothe，C.，Jatzev，S.＆Gettne，M（2010）。增强人机交互与主动和被动脑机接口的输入。在大脑-计算机接口中（181-199页）。斯普林格伦敦。(These recordings were kindly provided by Thorsten Zander, TU Berlin; if you use these recordings for a publication, please cite: Zander, T. O., Kothe, C., Jatzev, S., & Gaertner, M. (2010). Enhancing human-computer interaction with input from active and passive brain-computer interfaces. In Brain-Computer Interfaces (pp. 181-199). Springer London.)

点击栏目导航右侧上下文字滚动翻屏效,Compact News Previewer with jQuery Demo(Compact News Previewer with jQuery Demo)

function thah simulates a fading channel without gaussien nose

认知无线电中按照用户优先设计的动态信道分配算法(Cognitive radio designed according to user preference dynamic channel allocation algorithm)

此代码只要是自然梯度算法（naturalness_gradident_arithmetic，使用matlab编写的，一起学习(This code as long as it is the natural gradient algorithm (naturalness_gradident_arithmetic, using matlab prepared to learn)

一本关于matlab在生物图像学中的应用，非常实用，很难得到的！(Biosignal_and_Biomedical_Image_Processing_MATLAB_based_Applications.pdf)