2-Determinando-Ganancia-Critica

阵元间隔为半波长的均匀分布16元线阵，预成指向士arcsin（(2i-1)/16）(i=l，2，…，8)的16个均匀加权常规波束,远场有5个互不相关的目标源发射信号，每个源相对于基阵的方位为-40，-42，-5，30和33，且每个信号源到达基阵的信噪比相同，均为5DB，快拍数为1000.(Array element spacing of half wavelength for the uniform distribution of 16 per linear array, pre-point disabilities into arcsin ((2i-1)/16) (i = l, 2, ..., 8) of 16 evenly weighted conventional beam, far-field has 5 unrelated target the source of emission signals, each source array relative to the position for the-40,-42,-5,30 and 33, and each signal source to the array signal to noise ratio the same as Scientology, are 5DB, snapshots for 1000)

上传信道估计代码，实现LTE的信道估计器，新手上传，不吝赐教(LTE channel estimator code)

说明：  用matlab编的Capon算法和延迟相加法的程序，能够实现不同信号入射时的DOA估计，从而可以比较两种算法的分辨率等(Used for the Capon algorithm matlab and delays add up to the law of procedure, to achieve different signal DOA estimates at the time of the incident, which can compare the two algorithms, such as the resolution)

这是矩形分支定界算法，采用matlab语言环境(branch and bound algorithm, using Matlab language environment)

matlab 6.5电子书，包含了一整本书的内容，内容清晰易懂，查看很方便。对于高版本的matlab环境也适用(Matlab 6.5 e-book contains an entire book, clear and easy to understand, the view is very convenient. Also applies for the high version of the Matlab environment)

极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)

最优控制内容，关于找到最优解的问题：主要是对极小值原理、动态规划、线性二次型的应用。(Find the optimal solution for the problem，about minimum principle, dynamic programming, linear quadratic applications)

对象参数已知条件下二阶系统的自校正PID控制间接算法(Object parameters are known under the conditions of second-order system indirect self-tuning PID control algorithm)

DC-DC升降压电路,主要实现升压和降压功能，采用PI电压电流双环控制(DC-DC buck-boost circuit, the main step-up and step-down function, using the PI voltage and current loop control)

basics of uwsn and implementation of time synchronization algorithm to improve the accuracy and to reduce the delay and offset