conversions

RS隐写分析的MATLAB程序，RS是分析LSB隐写的一个重要方法(RS steganalysis of the MATLAB program)

基于MATLAB的GMSK和基带信号功率谱密度仿真实验开发 (Experiments development of GMSK and power spectral density of base-band signals based on Matlab simulation)

Power Systems Oscillations C3 examples

说明：  利用多窗口法实现频谱估计，本例直接调用pmtm函数进行估计。(Using multi-window method of spectrum estimation, in this case to estimate the direct call pmtm function.)

说明：  综合评价与决策方法，同样是与数学建模有关的内容。(Evaluation and decision making, and mathematical modeling is also related to the content.)

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)

说明：  边缘检测灰度调整与柱状图的MATLAB程序。希望对大家有帮助。(Gray-scale edge detection and histogram to adjust the MATLAB program. We want to help.)

仅通过期限结构来筛选期货品种，从而构建期货多品种对冲策略(future period structure for)

实现lle和pca的matlab编程，主要目的是比较lle和pca这两个高维数据降维方法的性能，各有所长。(Use matlab to realise lle and pca ，the purpose is to compare lle and pca，which reduce high dimension data to low data dimension，and each has advantage！)

一个粒子滤波Matlab代码,很值得学习(A particle filter Matlab code)