Integratedneuralnetworkbasedtestfile

介绍了蒙特卡罗(Monte Carlo) 方法,即随机模拟方法,提出了任意分布随机数的产生原理 及方法,并用算例说明蒙特卡罗方法的使用过程,同时用χ2 拟和优度法验证了其合理性. 关键(Montcarlo simulation)

Simpson integration method(3/8)

把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。(The combination of HHT and neural network to identify whether the fault. For the HHT transform, here is the use of its IMF decomposition, and then use the energy theory to determine which module is false, which is true component. The theoretical basis for the feature extraction of the spectrum after EMD decomposition is fuzzy entropy. The fuzzy entropy of the real component is calculated, as the input layer, the output layer is two neurons, which is 0 (fault) 1 (normal) to determine whether the signal is faulty.)

边缘提取算法提取细胞轮廓 适用于前景背景反差巨大(An object can be easily detected in an image if the object has sufficient contrast from the background. We use edge detection and basic morphology tools to detect a prostate cancer cell.)

SVPWM VR调节器，有源滤波器APF，三电平结构的(SVPWM VR regulator, active filter APF, three-level structure)

说明：  学习动力系统方向的一本好好的入门书，例子简单易学，并附有源程序。(Hamiltonian Systems Lyapunov Functions Stability Bifurcation Theory Chaos)

通过介绍判断分析的相关内容，提供了相关的算法，很好，很全面(By introducing the judgments of the relevant content, providing the relevant algorithm, very good, very comprehensive)

Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems

matlab 线性编程方法描述，英文版，实用性很高，适合工程人员使用(matlab linear programming method described in English, highly practical for engineers to use)

窄带CDMA（IS-95）系统的前向链路仿真，matlab完成，可执行。(Forward Link Simulation of IS-95)