firh

split step fourier method

　支持向量机方法是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度，Accuracy）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力[14]（或称泛化能力）。 (SVM is based on statistical learning theory and the theory of VC dimension based on structural risk minimization principle, according to the limited sample of information in the model complexity (ie, training samples of a specific learning accuracy, Accuracy) and learning ability (ie, error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability [14] (or generalization).)

ARM编程特别是系统初始化代码的编写中通常需要实现中断的响应、解析跳转和返回等操作，以便支持上层应用程序的开发，而这往往是困扰初学者的一个难题。中断处理的编程实现需要深入了解ARM内核和处理器本身的中断特征，从而设计一种快速简便的中断处理机制。需要说明的是，具体的上层高级语言编写的中断服务函数不在本文的讨论范围之内(ARM programming particular system initialization code in preparation usually need to achieve interruption of response Jump and return analysis, etc, in order to support the upper application development, which is often plagued by a problem beginners. Interruption of programming needs in-depth understanding of the ARM processor core and features of the interruption itself, be able to design a simple and rapid interrupt handling mechanism. There is a need to explain the specific upper prepared by the high-level language service interruption is not the function within the scope of discussion)

LMS算法和RLS算法实现阵列信号的波束形成的程序用matlab实现的代码，里面有也有解释说明(LMS and RLS progranm Matlab code.)

1. BPSK modulation of data which ever you input (default data is “MANIPAL REDDY”). 2. MANIPAL REDDY is changed into ASCII Format and into two-bit format for BPSK Modulation. 3. Chaos is used for spreading the binary bit sequence. 4. Uniformly distributed Noise is added to Spread signal. 5. After reception Chaotic Chip sequence is used to recover message . 6. Filter is used for removing spikes and noise. 7. Note the filter is used is just for showing a little realisitic picture. 8. Appropriate filter should be used. 9. The original data in binary and recovered data in binary format are compared

用matlab写的最近邻和K近邻法分类器，简单易懂，适合初学者(Written with matlab and K-NN nearest neighbor classifier, easy to understand for beginners)

A very fast FFT for Matlab with GPU

用matlab开发的clock程序，对学习matlabGUi很有帮助(Matlab the clock with the development of procedures, helpful in learning matlabGUi)

卫星通信系统代码，主要是QPSK,MPSK相关通信代码(something about satellite communication)

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.)