Matlab-FEM

Matlab7.0编程基础源程序第一章实例程序Matlab M-File(Programming based on the source of the first chapter Matlab7.0)

alidity Measures for the Fuzzy Cluster

混沌动力学初步对于刚开始接触混沌的人来说是个很好的书，希望对大家有用(Chaotic dynamics chaotic initial contact with the person who started it is a very good book, we want to be useful)

说明：  基于小波变换的jpeg图像压缩编码算法的MATLAB实现(small wave transportation)

说明：  MATLAB 讀取 ESRI 檔 AND SETIING X Y (MATLAB RREAD ESRI FILE AND SETIING X Y)

采用小波变化来完成数字水印的加密和解密，并且加入了猫脸变换(Wavelet change digital the watermark encryption and decryption, and cat face transform.)

WIMAX_WZ_withencoding:信道估计，相位噪声补偿，频偏估计，编解码都有 WIMAX_WZ_withoutencoding：在上面的工程基础上，去掉编解码部分 WIMAX_WZ_withoutprocessing：在上面的工程基础上，再去掉相位噪声补偿，频偏估计 WIMAX_WZ_withoutprocessing2：在上面的工程基础上，改用新的前导和导频联合信道估计方案,参考文档《基于802_16d标准的OFDM信道估计技术的研究与实现.kdh》 因为白噪声信道仿真只能体现QPSK调制和RS-CC编码的性能，需要仿真SNR可控的SUI信道，来估计信道均衡的性能。 在多普勒频偏fd>100Hz时，联合信道估计性能才比前导估计强，否则前导估计性能更优。对于600MHz中心频率，要求收发机相对运动速度大于180km/h，这种情况出现的概率不大(WIMAX_WZ_withencoding: channel estimation, phase noise compensation, frequency estimation, the codec has WIMAX_WZ_withoutencoding: the project on the basis of the above, remove the codec section WIMAX_WZ_withoutprocessing: the project on the basis of the above, then remove the phase noise compensation, offset estimation WIMAX_WZ_withoutprocessing2: In the project on the basis of the above, use the new leader and pilot joint channel estimation scheme, the document " Standards-based 802_16d OFDM channel estimation and implementation of technology .kdh" because white noise channel simulation only reflects the QPSK modulation and RS-CC coding performance requires simulation SNR controllable SUI channel, to estimate the performance of channel equalization. When Doppler shift fd> 100Hz, joint channel estimation performance was stronger than the leading estimate, otherwise better estimation performance leader. For 600MHz center frequency transceiver requirements relative velocity )

％绘制系统函数的零极点图 ％ ％pzplot(num,den) ％num为系统函数分子多项式的系数向量 ％den为系统函数分母多项式的系数向量 ％( Mapping system function pole zero diagram pzplot (num, den) num molecular function for the system polynomial coefficient vector den for the system function denominator polynomial coefficient vector)

基于样本和主轴核函数的相似度的动态聚类算法程序(based on samples and nuclear spindle function of the similarity dynamic clustering algorithm procedures)

1. m-file lpc2cep: Convert the LPC a coefficients in each column of lpcas into frames of cepstra. 2. m-file lpc2spec:Convert LPC coeffs back into spectra