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This paper review the effectiveness of the parity space approach to identify faults or disturbance in a system. The most commonly used is the observer based procedures, and redundancy relationship method. This involves analytical mathematical analysis of geometry and bilinear algebra. Then, technological advances which require complex computation such as artificial intelligence and genetic algorithm had made tremendous improvement to fault Detection and Isolation (FDI) analysis. Dynamic Parity Space Approach was studied for a discrete state-space model. Important data will be extracted using this approach especially for residual generation which is the backbones of FDI analysis. Subsequently, at each time instant k, the generated residuals will form a matrix that will define the fault signature. It is remarkable that this approach is proven in this study to be effective in diagnosis and faults isolation.

chan vese segmentation

地震SV波的源代码，得出反射系数，透射系数，转换波的反射系数，透射系数等(SV wave seismic source code, come the reflection coefficient, transmission coefficient, reflection coefficient, transmission coefficient converted waves, etc.)

matlab中噪声模型，包括测试程序，来自MIT实验室(matlab noise models, including testing procedures, from the MIT Laboratory)

智能天线波束成型算法DOA music、esprit、root music仿真代码。有仿真结果。(Smart antenna beam forming algorithm DOA music simulation code. Simulation results.)

PSO基本实现过程的详细演示，适合初学者进一步加深对理论的理解，推荐使用(A detailed presentation of the basic PSO implementation process, suitable for beginners to further deepen the understanding of the theory, recommended the use of)

钢骨混凝土梁，mathcad格式。Steel reinforced concrete beam(Steel reinforced concrete beam)

We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.

说明：  利用遗传算法计算下面函数的最大值 (The use of genetic algorithm function below the maximum)

RANSAC算法实现特征点发匹配并且计算相应 的基础矩阵(RANSAC algorithm for matching feature points and made the basis for calculating the corresponding matrix)