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说明：  使用先进的人工鱼群算法求解线性约束规划，此代码为原创，带注释，易读。(The use of advanced artificial fish school algorithm for solving linear constrained programming, the code for the original, with annotations, easy to read.)

最小方差自校正调节器matlab程序。运用最小二乘法，可设定遗忘因子。(Minimum variance self-tuning regulator matlab program. Least square method, you can set a forgetting factor.)

语音信号双门限法端点检测的matlab程序，用于语音信号的处理(Double threshold method of voice signal endpoint detection matlab program for speech signal processing)

卡尔曼滤波器代码 包括不同噪声时信号的比较(Kalman filter code including different noise signal comparison)

inverted pendulum fuzzy control

该函数由于遗传算法，粒子群算法等各类测试，可以很好地对你所编程序进行评估，以验证你提出的算法的合理性(Function due to genetic algorithms, particle swarm optimization, and other tests can be well on your programmed assessment, to verify the rationality of the proposed algorithm)

考虑一个线性自适应均衡器的原理方框图如《现代数字信号处理导论》p.275自适应均衡器应用示意图。用LMS算法实现这个自适应均衡器，画出一次实验的误差平方的收敛曲线，给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验，画出误差平方的收敛曲线。给出3个步长值的比较。(consider a linear adaptive equalizer block diagram as the principle of "modern digital signal processing" Introduction to the p.275 adaptive equalizer application schema. LMS algorithm with the adaptive equalizer, painted a square experimental error of convergence curve, given final design filter coefficients. Experimental a length of the training sequence to 500. Conduct 20 separate experiments, painted square error of the convergence curve. Given three step-value comparisons.)

在matlab r2010a环境下编写的newton-lagrange算法，可以求解约束优化问题，程序返回目标函数值及拉格朗日乘子。(In matlab r2010a environment prepared newton-lagrange algorithms can solve constrained optimization problems, the program returns the value of the objective function and Lagrange multipliers.)

buck 非线性 仿真模拟中 的逻辑电路模型 源程序(buck nonlinear simulation logic circuit model source)

应用matlab实现了二维的有限差分正演，是实现地球物理正演模拟方法的基础。(Applied to achieve a two-dimensional matlab finite difference forward, is to achieve geophysical forward modeling approach is based on.)