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QAM16在非线性功放模型TWTA的仿真，对需要认识功放特性的同学有帮助。(TWTA nonlinear amplifier model QAM16 the simulation, students need to realize that help power amplifier characteristics.)

用函数归一化逼近一个正弦函数，学习采用采用自适应方法(Function normalized with a sine function approximation, learning the use of adaptive methods )

开关磁阻电机的仿真模型，主要涉及是电流斩波控制，里面模型是MATLAB自带(a simulation model of switched reluctance motor，mainly about current chopping control)

应用粒子群优化算法优化bp网络的权值和阈值应用于故障诊断，程序可行，效果明显编写详细，注释清晰。(Application of particle swarm optimization algorithm to optimize the weights and thresholds of BP network is applied to fault diagnosis, the program is feasible, the effect is obvious, and the notes are clear.)

根据实际风速时间序列，建立风速的马尔可夫链模型(According to the actual wind speed time series, the Chian Markov of the wind speed is established.)

说明：  这是一个计算镜头视场的软件，非常简单但是很实用。(This is a calculation of the lens field of view of the software, very simple but very practical.)

利用RANSAC算法鲁棒性的计算两幅视图间的基本矩阵，本代码含有7点算法，8点算法(RANSAC algorithm using the calculation of robust fundamental matrix between two views, this code contains the algorithm 7, 8-point algorithm)

In statistics, Isomap is one of several widely used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional scaling). Isomap is used for computing a quasi-isometric, low-dimensional embedding of a set of high-dimensional data points. The algorithm provides a simple method for estimating the intrinsic geometry of a data manifold based on a rough estimate of each data point’s neighbors on the manifold. Isomap is highly efficient and generally applicable to a broad range of data sources and dimensionalities.

以中等纯度的精馏塔为研究对象，考虑到不等分子溢流的影响和非理想的汽液平衡，可以得到塔顶产品轻组分含量Y与回流量L之间的传递函数为： 其中由于现场环境干扰，输出带有测量噪声是（0，1）的正态分布序列，它的方差为ɑ=0.5。由于输出中带有很大的噪声信号，故将数字滤波技术中常见的低通滤波器由于偏差控制，滤掉其中的噪声信号，然后在对其进行PID计算，得到实际的控制量。在该方法在噪声较强的环境下，可以得到较好的控制效果。 控制要求： 1、 采用带低通滤波器的增量式PID将塔顶轻组分含量控制在0.99 2、 用ISTE法整定PID参数 3、 在控制过程中，到150周期加入幅度为-20 的阶跃干扰，在第300周期干扰消失。分析PID参数的抗干扰性。 (Medium-purity distillation column, taking into account ranging from molecular overflow and non-ideal vapor-liquid equilibrium, the transfer function between the light component content of the top product Y and the back flow L can be obtained as: Because the field of environmental interference, output with the measurement noise is a normal distribution (0,1) sequence, its variance ɑ = 0.5. As with a lot of noise in the output signal, it will be common in low-pass filter in the digital filtering techniques due to the bias control, filter out the noise signal, then its PID, the actual amount of control. In the strong noise environment, you can get better control effect. Control requirements: 1, using the incremental PID with a low-pass filter to the top of the tower content of light components in the 0.99 2, the method of ISTE tuning PID parameters 3, in the control process, to 150 cycles join the range of-20 step disturbance, disappearance of interference in the first 300 c)