rectifier_model_1

方便初学者！插值与拟合的matlab实现！ 可方便同学做课设！(Easy for beginners! Interpolation and fitting matlab realize! Classes students can be easily set up to do!)

GSM downlink RF channel simulator MATLAB-based

M序列信号算法仿真在系统辨识中有着很大的应用前景。多谐差相方法辨识精度很高有着很苛刻的要求，要求已知辨识参数个数已知并且需要整周截断。而M序列信号的测试方法没有这个方面的要求。其辨识未知模型时，可以用最小二乘算法观察辨识系统的精度来确定模型的阶次。本算法里面不但给出了用于M序列生成的本原多项式计算方法，同时编写了M序列信号的生成算法，并编写了相关辨识方法的算法。(M sequence signal simulation algorithm for identification in the system have great application prospects. Identification of multi-harmonic differential phase method with high precision has very stringent requirements, demand parameters are known to identify the number of known and need to cut off the whole week. The M sequence signal testing methods do not have this requirements. Its identification unknown model, you can observe the identification system using least-squares algorithm to determine the accuracy of the model order times. This algorithm is used which not only gives the M sequence generated by primitive polynomial method of calculation as well as prepare the M sequence signal generation algorithm, and the preparation of the relevant identification method algorithms.)

extern的用法，本文较详细的介绍了extern的用法及注意事项。(extern usage, this paper describes in detail the usage of extern and precautions.)

说明：  线性预测是语音信号分析中用得比较多的一种方法#&’()算法在线性预测中占有重要地位#格型滤波 器在语音信号分析中起了重要作用$本文采用&’()算法的逆运算对语音信号进行合成#得到了较好的合成效果$ (Linear prediction analysis of speech signal is used more than one way#&amp ' () linear prediction algorithm plays an important role in cell-type filter# signal analysis in speech played an important role in this paper, $ &amp ' () Algorithm of inverse operation of the synthesized speech signal synthesis# get a better result $)

3D images, image processing so cool

turbo ofdm in fading channel

matlab program 书籍 中文版实用教程 入门级matlab数学建模同学必看(matlab program Practical Guide Books Chinese edition entry-level mathematical modeling matlab student must see)

matlab 绘制风玫瑰图函数 自动绘制方向并统计(matlab Wind rose of direction and intensity)

nelder-mead算法,程序不算太长，应该好理解，仔细看几遍就行了(nelder-mead method， it is very useful if you want it,just download it!)