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Software Testing Research_Achievements, Challenges, Dreams

极化码的构造编码以及各种译码方法的MATLAB仿真代码，可以直接调用函数。(The structure coding of polarization code and the MATLAB simulation code of various decoding methods can directly call the function.)

Kalman filter implementation. Kalman implemented in an inverted pendulum, by controlling the position and measuring the speed, namely by integrating the actual position. Kalman predicts spreads far and correcting any errors caused by sensors

Search for a Command Details object from a list.

matlab开发工具箱中的支持向量机，从先验概率中采样，计算权重，gmcalab 快速广义的形态分量分析。( matlab development toolbox support vector machine, Sampling a priori probability, calculate the weight, gmcalab fast generalized form component analysis.)

相控阵天线的方向图（切比雪夫加权），DC-DC部分采用定功率单环控制，esprit算法对有干扰的信号频率进行估计。( Phased array antenna pattern (Chebyshev weights), DC-DC power single-part set-loop control, esprit algorithm signal frequency interference can be assesse.)

线性卷积要求两个输人序列具有持续时间，但在实际应用中，可能遇到输人序列具有无限持续时间的情况。在这种情况下，分段卷积是一种有效的解决方案。文章讨论了计算分段卷积的两种方法。仿真试验表明，分段卷积方法正确且高效。(The linear convolution needs two finite-time input sequences, but in the actual application, two infi- nite-time input sequences are possible. Under this kind of situation, the partition convolution is an effective solu- tion. In this paper, two methods of the partition convolution are discussed. The simulation experiment indicatesthat the partition convolution is correct and effective.)

RLS identification algorithm. RLS is used to identify a discrete time model of a plant operating in open-loop based on the recursive least squares method and the UD factorization for updating the adaption gain matrix (F).

说明：  基于matlab开发的pso程序，并且加以改造运用到软测量中，效果不错，大家可以(Matlab-based development PSO procedures, and to transform the use of soft measurement, worked quite well. we can s)

Nelder-Mead SIMPS = Strategy Simplex Constrained minimizer, based on iterations of full-dimensional simplex calls (Nelder-Mead direct search method), each time followed by a series of two-dimensional simplex calls (local improvements by subspaces).