Artigo_31Jan2011_1212

产生OFDM的MATLAB源代码，对初步接触OFDM研究的人很有帮助(OFDM have the MATLAB source code, initial contacts for the study were useful OFDM)

很多经典的matlab例程，可以帮助入门者学习精通matlab(Matlab many classic routines that can help beginners learn master matlab)

this is about matlab code for modeling solid

BP神经网络：是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)

。本文研究了SC-FDE系统中的最小均方误差判决反馈 均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法， MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟 踪信道变化并更新均衡器的抽头系数，其性能略优于最小 均方误差判决反馈均衡算法。(. In this paper, the SC-FDE system, the minimum mean square error decision feedback Equalization (MMSE-DFE) and criteria based on LMS adaptive equalization algorithms MATLAB simulation results show that LMS adaptive equalization algorithm as effective with Track changes and update the channel equalizer tap coefficients, its performance slightly better than the minimum Mean square error decision feedback equalization algorithm.)

Stock forecast program source code

Vine copula for C vine和 D vine的估计等。(Vine copula for C vine and D vine.)

特别经典的MATLAB学习资料，希望能够为莘莘学子提供帮助(Special classic learning materials in MATLAB, hoping to provide help for students)

ZPETC与IMC的结合，以PID作为比较。提供matlab源码实现，与simulink源码实现。(ZPETC and IMC.)

感知器算法的基本思想是，对初始的或迭代中的增广权矢量 ，用已知的训练模式检验它的合理性，当不合理时，对其进行校正，校正方法实际上是最优化技术中的梯度下降法，上传的是用matlab解决感知器问题。(The Perceptron Algorithm The basic idea augmented weight vector of the initial iteration, the known training mode to test it reasonable, unreasonable, its correction, the correction method is actually the most optimization techniques the gradient descent method, upload matlab to solve perception problems.)