bcs_ver0.1

说明：  DCT域的嵌入程序，可以获得较高的鲁棒性，且嵌入秘密信息后的不可感知性也很好。(DCT embedded procedures, get higher robustness, and secret information embedded in the perception is also not very good.)

一些小程序，仅供参考，不足之处，请见谅。谢谢你的支持。(Some small programs, reference, deficiencies, please forgive me. Thank you for your support.)

一些matlab常用程序，包括求各阶导数及其程序运行后得到的相应的结果(Some commonly used matlab program, including the derivative and the program after the corresponding results)

包含1593手写体数字0 ~ 9。从semeion.data通过MATLAB semeion.mat，可以直接使用。 每一个行为样本，其中256是手写数字的16×16，在10栏的数字识别标签，例如：如果第一行是1，然后是0号，其次是1，1。等等。 在Matlab的小例子，可以得出每一个数字，一个更好的理解。你想翻转和旋转的是写作的习惯相一致的图像。(Contains 1593 handwritten digit 0~9. from semeion.data by MATLAB semeion.mat, can be used directly. In addition of MATLAB small example, can draw each digital, a better understanding of. The image you want to flip and rotation is consistent with the habit of writing.)

Multivariable Frequency Domain Toolbox

1． 利用自相关函数法和周期图法实现随机信号的功率 联合开发网 - pudn.com

直接序列扩频仿真实例，产生m序列，然后进行扩频通信，对初学者很有用啊(Direct Sequence Spread Spectrum simulation example, useful for beginners )

说明：  图论算法 求SAP矩阵的基本思想是图的最短路的问题。 由于铁路的运输费用与线路的长度不是线性关系，必须对铁路网做一些预处理才能套用图的标准最短算法。 (SAP matrix graph theory algorithm for getting the basic idea is to map the shortest path problem. Since the railway transport costs and the length of line is not a linear relationship, we must do some preprocessing on the rail network to apply a standard graph algorithm shortest.)

说明：  压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数(Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function)

arc engine初级代码开发，对初学者很有帮助。希望能帮助广大初学者。代码很短，但是很经典。下载后可以直接用。(arc engine primary code development, helpful for beginners. Hoping to help the beginners. Code is very short, but very classic. After downloading can be used directly.)