polyphase

放大器及数据转换器选择指南,放大器电路设计的好助手。(Amplifier and Data Converter Selection Guide, a good amplifier circuit design assistant.)

PCA主元分析后用神经网络预测，A/S含量，PCA算法实现，与神经网络(PCA principal component analysis using neural network prediction, A/S content, PCA algorithm, and neural network)

基于神经网络的模拟调制识别，首先是模拟信号的产生，再对所获的信号进行训练，最后进行识别(Analog modulation recognition based on neural network, the first is the generation of analog signal, then to training of received signal, finally for identification)

模糊自适应整定PID控制,利用模糊控制规则在线对PID参数进行修改(fuzzy adaptive tuning PID control, fuzzy control rules online right PID parameter changes)

Simulink block diagram of simple Antilock Braking System control

许多重要的机械系统平稳运行机制下(负载),但许多观察到的症状在某种程度上取决于条件在系统负荷和/或环境条件。因此状态监测的一个了这类系统应该有一些可能的症状观察到一个标准的荷载工况。(Many critical mechanical systems operate in a non-stationary regime (load ), and many observed symptoms of its condition depend in a some way on a system load and/or environmental conditions. Hence the condition monitoring of a such systems ought to have some possibility of rescaling of observed symptoms to a standard load condition. This papershows such a possibility of a symptoms rescaling in application to multidimensional vibration condition monitoring. It is shown on some real example of vibration condition monitoring, that rescaling of symptoms can make more reliable theassessment of current system condition, as well as its prognosis.)

this is a book and its source code

简化的JPDA算法，提高效率，速度提高不少(Simplified JPDA algorithm, improve efficiency)

说明：  主要是针对matlab编程的14个案例； 案例1：一般区域二重、三重积分； 案例2：被积函数含有积分项的一类积分； 案例3：一般区域n重积分； 案例4：蒙特卡洛法计算n重积分； 案例5：第二类Fredholm积分方程； 案例6：第一类Fredholm积分方程； 案例7：第二类Volterra积分方程； 案例8：第一类Volterra积分方程； 案例9：全局优化； 案例10：fsolve求非线性方程组； 案例11：渐变光波求导； 案例12：遗传算法在复杂系统可靠度和冗余度分配优化； 案例13：遗传算法在车间设备布局优化； 案例14：应用Benders分解算法求解混合0-1规划；(Mainly for 14 cases of MATLAB programming; Case 1: General Regional double and three integral; Case 2: a class of integral functions containing integral terms; Case 3: General Regional N multiple integrals; Case 4: Monte Carlo method to calculate the N multiple integral; Case 5: Fredholm integral equations of the second kind; Case 6: Fredholm integral equations of the first kind; Case 7: Volterra integral equations of the second kind; Case 8: Volterra integral equations of the first kind; Case 9: Global optimization; Case 10:fsolve for nonlinear equations; Case 11: gradual wave derivative; Case 12: genetic algorithm for reliability and redundancy allocation optimization in complex systems; Case 13: genetic algorithm in workshop equipment layout optimization; Case 14: applying Benders decomposition algorithm to solve mixed 0-1 programming;)

Codigo para calcular lugar geometrico de sistemas lineales