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CUED系统识别工具箱，包括： 1 Subspace identification of linear systems. 2 Subspace identification of bilinear systems(CUED System Identification Toolbox: 1 Subspace identification of linear systems. 2 Subspace identification of bilinear systems)

说明：  这个文件时无线传感网络拓扑算法中的泛洪算法代码(Algorithm for wireless sensor network topology in the flooding algorithm code)

自己使用的matlab教程。讲解很详细很深入适合初学者(Own use matlab tutorial. Very in-depth explanation in detail for beginners)

一般离散信道的迭代算法。信道能无错误传送的最大信息率。对于只有一个信源和一个信宿的单用户信道，它是一个数，单位是比特每秒或比特每符号。(Iterative algorithms are generally discrete channel. Channel can be transmitted without errors maximum information rate. For only one source and a sink of the single-user channel, it is a number, in units of bits per second or bit per symbol.)

遗传算法matlab代码，很不错，值得看看(Genetic algorithm matlab code, very good, worth a look)

说明：  watterson信道matlab仿真,瑞利衰落。。。。(This example shows how to simulate High-Frequency (HF) ionospheric channels, based on the models described in Recommendation ITU-R F.1487. In particular, it shows how to simulate the general Watterson channel model, and other simplified channel models used in the quantitative testing of HF modems. It makes use of the Rayleigh multipath fading channel object and the Gaussian and bi-Gaussian Doppler structures from Communications System Toolbox.)

包括matlab使用的经典的一百个例子。能让你从中总结出matlab的精髓(Including the use of matlab classic example of the 100. Allows you to sum up the essence of matlab)

Matlab 各种电动机的仿真，以及在运行中出现状况是的故障仿真，一共50个(Matlab simulation of various motor, as well as in operation in the condition of fault simulation)

虽然奇异值分解（SVD）和特征值分解（EVD的）是行之有效的，可以通过先进的设施设备先进的算法，它不是通常所说，有一个内在的迹象，可以显着影响的不确定性的结论计算及诠释来自其结果。我们提供一个解决方案，标志模糊的问题确定了从奇异向量的内积和个人数据载体签署奇异向量的迹象。该数据可能有不同的载体，但它有它自身的定位和实际意义的选择方向，其中多数的向量点。这可以通过评估发现了内心的签署标志产品的总和。(Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminacy that can significantly impact the conclusions and interpretations drawn from their results. We provide a solution to the sign ambiguity problem by determining the sign of the singular vector from the sign of the inner product of the singular vector and the individual data vectors. The data vectors may have different orientation but it makes intuitive as well as practical sense to choose the direction in which the majority of the vectors point. This can be found by assessing the sign of the sum of the signed inner products. )

用MATLAB实现动态系统的求导与积分函数(MATLAB diff and int)