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Matlab source code for Euler to Quaternion conversion.

逆合成孔径雷达成像，目标直线运动，估计速度后补偿成像，效果很好(Inverse synthetic aperture radar imaging, target linear motion, after an estimated rate of compensation for imaging with good results)

二阶系统一次性完成的最小二乘法辨识程序，便于理解最小二乘辨识的原理(Completed a one-time second-order system least squares identification procedure, easy to understand the principle of least squares identification)

自适应网络模糊推论系统(ANFIS),产生输入输出变量的初始归属含数集合(Adaptive network fuzzy inference system (ANFIS), generating an initial ownership of the number of input and output variables containing the set)

系统鄙视程序，包括增广最小二乘法、递推最小二乘法等(System contempt procedures, including augmented least squares method, recursive least squares method, etc.)

jar decode find sea mmdkdk

说明：  MPM matlab的算法实现，在ｍａｔｌａｂ环境下实现了ＭＰＭ算法(matlab ＭＰＭ)

说明：  fisher分析法，里面有源代码，课件，以及软件，等等……，大家赶快下吧(fisher analysis, which source code, courseware, and software, and so on ... ..., we get under the bar)

用于计算随机序列线性复杂度的Berlekamp-Massey算法，已包装为matlab函数，省去复杂的算法调试过程(implement the inversionless Berlekamp-Massy algorithm in matlab)

交流位置伺服系统因其存在参数时变、负载扰动以及电机的非线性等缺点， 很难为其建立准确的模型. 模糊（ fuzzy）控制具有无需建立被控对象的数学模型、鲁棒性好等 优点，但稳态精度差. 将模糊控制和PID 控制相结合，设计了Fuzzy-PID 双模控制器. 在论域内 用不同的控制方式分段实现控制，这样就综合了模糊控制和PID 控制的优点，克服了各自的缺 点. 该控制器结构简单、易于实现. 在半闭环交流位置伺服系统上所做的实验表明，采用Fuzzy- PID 双模控制器与采用经典PID 控制器相比，阶跃响应的调整时间减少了33. 7 ，并且无超 调，轨迹跟踪误差减小了47. 2 .(AC servo system because of the presence of parameter variations, load disturbances and non-linear motors and other shortcomings, it is difficult to establish accurate models for fuzzy (fuzzy) control without having to build a mathematical model of controlled object, robustness and good However, steady-state accuracy is poor. fuzzy control and PID control are combined to design a dual-mode Fuzzy-PID controller in the sub-region to achieve control on the different control methods, so that a combination of fuzzy control and PID control advantages to overcome their disadvantages. simply the controller structure, easy to implement. experiments on semi-closed loop AC servo system did show that the Fuzzy-PID controller is compared with the classic dual-mode PID controller, step response The adjustment time is reduced by 33.7 , and no overshoot, tracking error is reduced 47.2 .)