matlab_ipt_tutorial

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Matlab数字信号处理与应用源代码 各种入门级的数字信号MATLAB仿真程序的源码 详细解释 (Digital signal processing and Matlab source code for the application of a variety of entry-level digital signal source MATLAB simulation program explained in detail)

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.

一本很不错的稀疏矩阵教材pdf版,matlab编程中经常涉及,希望对大家有用(A very good sparse matrix materials pdf version, matlab programming often involved, I hope useful)

leach matlab code for wireless sensor networks

说明：  利用MATLAB语言调节GUI窗口尺寸，有简单的示例(Adjusting the size of GUI window using MATLAB language)

信道估计程序，源代码和说明文档。。。。。。。。。。。。。。。。。。。(Channel estimation procedure, the source code and documentation. . . . . . . . . . . . . . . . . . .)

Matlab数学手册，包含了矩阵运算、数值计算、符号运算、概率统计、优化问题等数学方面的matlab实现。 (Matlab mathematical handbook contains a matrix computation, numerical computation, symbolic computation, probability and statistics, optimization problems, such as mathematics matlab realize.)

实现对自适应波束形成SIM算法的仿真，在该程序中，我们先设置入射的信号，再进行互协方差矩阵和自协方差矩阵的求解来实现该算法(To achieve adaptive beamforming algorithm for the simulation of SIM, in the process, we first set up the incident signal and then cross-covariance matrix and covariance matrix from the solution to the realization of the algorithm)

Pearson s correlation coefficient between two variables is defined as the covariance of the two variables divided by the product of their standard deviations