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学习matlab的一本非常不错的电子文档 也是从别的网站下载的 希望对大家会有帮助

说明：  FLAMES平台中的空域模型之一，对空间划分有借鉴意义(FLAMES airspace model in one platform, a reference to the space division)

说明：  1.相关分析法辨识系统程序。2.方波响应与阶跃响应的互相转化的通用程序。3.获取系统模型阶次的函数。4.levy方法辨识系统的函数。5.将相关分析法的辨识结果转成频率响应的程序((1) analysis Identification System program. 2 square wave response and step response of the general program of mutual transformation. (3) for the function of the system model order. 4.levy method recognize the function of the system. The identification of the relevant analysis results converted to the frequency response of the program)

迭代蚁群算法思想见浙江大学张兵的博士论文，自编IACA代码，解决了一个动态优化问题实例(ICAC was given by Zhangbin in the paper " Iterative ant-colony algorithm and its application to dynamic optimization of chemical process"(SCI).)

用于现代信号分析与处理课程，作用为图像的压缩(For modern signal analysis and processing programs, the role of the compressed image)

在matlab下模擬hamming codeing的編解碼過程,碼率為7/11,提供初學者學習(At Analog hamming codeing under matlab codec process, rate of 7/11, to provide beginners Study)

由Manchester大学编写的电阻抗成像系统软件 版本3.3(Manchester University, prepared by the electrical impedance imaging system software)

利用遗传算法求解8数码问题。这里是个框架性的，可以有很多改进之处(Using Genetic Algorithm eight digital problem. Here is a framework, there can be a lot of improvements at)

文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型(This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spectrum prediction may be useful in a packet transmission system where the sensitivity to packet losses is a major problem. Models of speech are trained by the Expectation Maximization algorithm using pairs, triples etc. of consecutive cepstral vectors. The models are used to design first, second etc. order predictors. The prediction schemes are evaluated using the spectral distortion criterion and compared to a simple reference method. The best prediction scheme obtains an average spectral distortion that is 0.46 dB less than for the reference method. )

pam算法，能够帮助用户理解pam算法的思想，更好的理解该聚类思想(PAM algorithm, can help users understand the thoughts of PAM algorithm, a better understanding of the clustering thought)