erfenge

matlab 7 programming

采用最速下降法查找最小值，采用H终止准则，计算时间很快，很适合初学者使用(Steepest descent method using the minimum search using H termination criteria, the computation time soon, it is suitable for beginners to use)

实现图像的配准 并画MI曲线,直接运行 很好用(2D image registration it is very helpful for us)

包含M文件，培训和跟踪落实的噪音中描述的算法： [1] J.S.厄克伦斯和R. Heusdens，“非平稳噪声跟踪基于数据驱动的递归噪声功率的估计”，IEEE期刊。音频，语音卷。 16，第6页。1112年至1123年，2008年8月。 见Description.doc在zip文件。(Contains m-files to train and implement the noise tracking algorithm described in: [1] J.S. Erkelens and R. Heusdens, "Tracking of nonstationary noise based on data-driven recursive noise power estimation", IEEE Trans. Audio, Speech & Lang. Proc., Vol. 16, No. 6, pp. 1112-1123, August 2008. See Description.doc in the zip-file. )

简单ofdm调制代码，基于qpsk，有循环前缀，两种信道传输。(ofdm simulation based on qpsk.)

包括回归分析和概率统计，FIR 底通和带通滤波器和IIR 底通和带通滤波器，包括最小二乘法、SVM、神经网络、1_k近邻法,D-S证据理论数据融合，保证准确无误，是学习通信的好帮手，关于神经网络控制，FMCW调频连续波雷达的测距测角。( Including regression analysis and probability and statistics, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, D-S evidence theory data fusion, Ensure accurate communication is learning a good helper, On neural network control, FMCW frequency modulated continuous wave radar range and angular measurements.)

语音信号分类。 本案例针对四类语音信号，用BP神经网络的方法进行分类。(Speech signal classification. This case for four types of speech signals, using BP neural network method for classification.)

上次传的有点小问题，这个已经解决，是基本LMS算法的matlab实现。(previous biographies of some minor problems, this has been resolved, the LMS is the basic algorithm to achieve the Matlab.)

matlab code for kfcm

Bouc Wen modified model for MR damper