Steganography_Example

经典子空间算法的完整实现，噪声消除效果比较好(an approach of speech enhancement algorithm)

说明：  ELM算法可以实现鸢尾花分类，同时实现其他数据的回归(ELM relasized iris recognition and other regression)

不考虑多径干扰时在高斯白噪声和瑞利衰落信道条件下QPSK的调制解调过程， 并采用准分析法完成误码性能的计算。仿真过程包括仿真信号产成，滤波器设置，QPSK调制，加入高斯白噪声，通过锐利信道衰落，QPSK解调，误码率计算等几部分(Not consider multi-path interference at the white Gaussian noise and Rayleigh fading channel under the conditions of the QPSK modulation and demodulation process and the use of quasi-analysis method to complete the calculation of BER. The simulation process includes the middle class into a simulation signal, filter settings, QPSK modulation, by adding Gaussian white noise, through the sharp decline in channel, QPSK demodulation, bit error rate calculation and other parts)

预测模型为状态空间模型预测函数控制MATLAB程序，包括一阶、二阶、高阶跟踪阶跃，斜坡(Prediction model for the state space model predictive functional control MATLAB procedures, including first, second, high-tracking step, ramp)

使用MATLAB对二级微分方程采用直接求解的方法，并使用GUI编制界面(Use of two differential equations using MATLAB direct solution methods, and use the GUI interface to the preparation of)

已知一个LTI系统的差分方程为： y[n]-1.143*y[n-1]+0.4128*y[n-2]=0.0675*x[n]+0.1349*x[n-1]+0.0675*x[n-2] 初始条件y(-1)=1,y(-2)=2，输入x(n)=u(n)，计算系统的零输入响应 (known LTI system of a differential equation : y [n]-1.143* y [n-1] 0.4128* y [n-2] x = 0.0675* 0.1349 [n]* x [n-1] 0.0675* x [n-2] initial conditions y (1) = 1, y (2) = 2, input x (n) = u (n), we calculate the zero input response)

单纯形法，求解线性规划问题的通用方法。这里给出其Matlab源程序(Simplex method for solving linear programming problems common method. Here are its Matlab source)

发声时的激励模型是一个以基因周期为周期的三角波，利用matlab绘制这个三角波的频谱。(When the voice of the incentive model is a genetic cycle cycle of triangle wave, use of matlab draw this triangle wave spectrum.)

本算法是TD-SCDMA中初始同步捕捉DwPTS下行同步导频时隙的仿真(TD-SCDMA initial synchronization capture DwPTS downlink slot synchronization Pilot Simulation)

二分法，Newton迭代法和弦截法求方程根，并比较迭代次数。内含各种迭代法及数值加速方法的说明和比较。(Dichotomy, Newton iteration method for the equation of the root chord section, and compare the number of iterations. Includes a variety of accelerated iterative method and numerical description of the method and comparison.)