Chapter9

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.)

BEASF Algorithm is implemented by Image enhancement using Bi-Histogram Equalization with adaptive sigmoid .

复杂网络相似性指标的实现和对比，同时可以实现无标度网络和邻耦网络两个复杂网络的预测。并对预测结果进行评估。改进了预测算法，提出了预测精度评价的新指标，使精度评价更准确。(Implementation and comparison of the complex network of similar indicators, and can achieve scale-free network and neighbor coupled network prediction of two complex networks. The prediction results to assess. Improve the prediction algorithm, proposed a new indicator of prediction accuracy evaluation, the accuracy of evaluation is more accurate.)

白噪声 –单位冲激信号 –正弦信号 –方波信号 –三角波信号 功率谱(White Noise- unit impulse signal- sinusoidal signal- a square wave signal- triangular wave signal power spectrum)

使用FR共轭梯度法求解无约束问题 输入包括初始点，目标函数和梯度 输出包括最优点和最优解，还有迭代次数(Use FR conjugate gradient method for solving unconstrained problems including initial entry points, the objective function and the gradient of the output, including the advantages and the most optimal solution, as well as the number of iterations)

延时矢量方差(DVV)方法使用的可预测性的信号在相空间来描述时间序列。DVV方法已经成功地应用于分析生物信号的性质(EEG和fMRI)。(The Delay vector variance (DVV) method uses predictability of the signal in phase space to characterize the time series.The DVV method has been successfully applied to analyse the nature of biometric signals (EEG and fMRI).)

通过总结当前对处理器架构的安全性能的处理方法，提出一种增强DSP处理器安全性能的方法。主要从并行性方面进行了改进。最后对改进的方法进行了仿真和结果分析。(By summing up the current security architecture of the processor performance approach, a DSP processor to enhance the safety performance of the method. Mainly from the aspects of parallelism to improve. Finally, improved methods and results of simulation analysis.)

DMC控制源码，可以运行，控制对象为一阶或者二阶惯性环节带30s大滞后。(DMC MATLAB M-function)

a modified matlab program for mfcc and their delta

船用大功率永磁同步电机直接转矩控制模型dtc_dadianji和svm_dadianji(Marine power permanent magnet synchronous motor direct torque control model dtc_dadianji and svm_dadianji)