invertedpendulum

决策树的matlab实现,包含训练和测试(Decision Tree matlab implementation)

Adaptive Line Enhancement of a Noisy Sinusoidal Signal

控制路灯的亮灭，控制景观灯，单双路灯控制(Control lights light off, control landscape lights, odd and even street lighting control)

说明：  产生30行16列的矩阵，每一行代表一路信号，产生32路信号，对32路信号解复用(Produce a matrix of 30 rows 16 columns, each row represents one signal, resulting in 32 signals, the signal demultiplexing 32)

用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取(Using MATLAB svm prepared by the source, can achieve a support vector machine for classification or feature extraction-MATLAB)

There is an example of how to use the LDPC encode/decode with AWGN channel model in files .ldpc_decode.m and .GFqldpc_decode.m. There are a few parity check matrices available in the code but you can use other matrices provided you have enough memory to load them. I suggest checking out matrices in Alist format available on David MacKay s web site.You will need to have access to a MEX compiler to be able to use a few functions written in C. LDPC的仿真代码(There is an example of how to use the LDPC enc ode/decode with AWGN channel model in files. l dpc_decode.m and. GFq ldpc_decode.m. There are a few parity check matrices available in the code but you can use other matrices provided you have enough memory to load them. I suggest check ing out matrices in Alist format available on Da vid MacKay's web site.You will need to have acces MEX's to a compiler to be able to use a few function 's written in C. Simulation LDPC code)

PLC MZI MATLAB仿真. MZI可用作波分复用器件（分离两个波长光信号）。本例子为一级MZI，由两个光耦合器（耦合系数a1,a2）和一段延迟臂（延迟dl）构成。MZI有两个输入和两个输出端口，一般两个波长光信号由一个输入端口输入，而在两个端口分别输出不同波长信号。(PLC MZI simulation.)

使用m语言对OQPSK调制方式进行仿真模拟，可以得到OQPSK调制前后以及加噪前后基带信号对比、频谱对比、星座图和误码率(您是不是要找： 使用c语言对QPSK调制方式进行仿真模拟,可以得到OQPSK调制前后以及加噪前后基带信号对比、频谱对比、星座图和误码率 Use m language OQPSK modulation system simulation, you can get around the OQPSK modulation, and baseband signal plus noise before and after contrast, spectral contrast, constellation diagrams and bit error rate)

使用MATLAB编写的aBimRB神经网络算法，本程序根据训练好的网络文件JDBqGzE预测新的数据文件，得到算法的最差性能和最优性能，并绘制出预测数据和原数据的对比图。调试运行正常。 (Using MATLAB preparedaBimRB neural network algorithm, the program according to the trained network fileJDBqGzE anticipating new data files to obtain the best performance and the worst performance of the algorithm, and draw out the comparison chart data and predict the original data. Debugging and running properly. )

模糊分类论文pdf文件以及Matlab code源码，对学习很有帮助。(A Simple Fuzzy Classifier based on Inconsistency Analysis of Labeled Data)