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matlab对PLL环路相位噪声的仿真m文件(simulation of PLL loop phase noise)

针对非线性传递函数一种滤波和估计的新方法 (A New Method for the Nonlinear Transformation of Means and Covariances in Filters and Estimators )

In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space.

主成分分析是设法将原来众多具有一定相关性（比如P个指标），重新组合成一组新的互相无关的综合指标来代替原来的指标。(Principal Component Analysis，PCA)

混沌时间序列求嵌入维(embedding dimension)Cao方法(Chaotic time series seeking embedding dimension (embedding dimension) Cao method)

可利用MATLAB实现模糊神经网络仿真，不过这里还没有MATLAB源码，期待大家将其实现(Can make use of MATLAB realization of fuzzy neural network simulation, but no MATLAB source code here, we look forward to its realization)

ASK,FSK,PSK仿真误码率对比l。。。。在做毕业设计的时候可以参考下(ASK,FSK,PSK仿真误码率对比l。。。。在做毕业设计的时候可以参考下 ASK, FSK, PSK simulation of bit error rate compared to l.... When doing graduate design can refer to the next )

通过做实验用MATLAB产生FSK调制信号(FSK modulation signal by doing experiments with MATLAB)

无人机MATLAB SIMULINK 仿真分析设计(UAV MATLAB SIMULINK Simulation Analysis and Design)

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)