study MATLAB_Top200

matlab画图方法介绍，自己留用的资料，欢迎使用交流。(matlab drawing method, the information retained their own are welcome to use the exchange.)

遗传算法matlab程序，很全面，很实用，欢迎下载。(geneticAlg matlab program)

This code computes the approximation of the convolution integral (*) between two functions, f(t) and g(t), sampled at the times t1,t2,...,tm (unit spacing), via the trapezoidal quadrature rule. To compute the integral with other than unit spacing, multiply the result by the spacing increment.

psk调制解调及相应误码率计算。随机产生一正弦信号并进行相应的调制解调。(psk modem and the corresponding bit error rate. Randomly generate a sinusoidal signal and the corresponding modem.)

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 )

传统的决策树能较好地解决分类问题，但当类的个数增多时，所产生的单一决策树就会变得复杂，同时概括能力降低。 该文采用基于层次分解的方法通过产生多层决策树来处理多类问题。 与传统的单一决策树比较， 基于层次分解的决策树在处理多类问题时有许多的优势。(induction learning,decision tree,id3 ,hiberarchy decomposition)

sharpness，在响度基础上该程序用来计算声音中的响度尖锐度成分(we can use this code calibrate loudness and sharpness in the sound)

useful resources in matlab

数学建模竞赛常用算法的matlab例子，遗传工具箱 贪婪算法 遗传算法 文件数据处理(Mathematical Contest in modeling of commonly used algorithm matlab example)

图像匹配的Matlab程序，内含模板和匹配图片(Matlab image matching procedures, including templates and matching pictures)