jidasiran

the fourier serial: how to do with fourier

采用L-M优化算法用以训练BP神经网络，使其能够拟合某一附加有白噪声的正弦样本数据。设计一个三层BP神经网络，其网络的隐含层神经元的激励函数为双曲正切型，输出层各神经元的激励函数为线性函数，隐含层有6个神经元(LM optimization algorithm used to train BP neural network to enable it to fit a white noise, sine additional sample data. Design a three BP neural network, its network of hidden layer neuron activation function of hyperbolic tangent type for the output layer activation function of each neuron is a linear function of the hidden layer has 6 neurons)

Gold code产生的matlab程序实例，用于光通信或者无线通信的信号编码。(Matlab program example for Gold code generaion used for signal encoding in optical communication or wireless communication.)

模糊聚类算法的MATLAB实现，对理解FCM算法的原理有实质性的帮助。(The apply of FCM on matlab,which takes a significant help to understand the FCM algorithm.)

用于时频分析算法，预报误差法参数辨识-松弛的思想，迭代自组织数据分析，加入重复控制，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，各种资源分配算法实现，信号维数的估计。( For time-frequency analysis algorithm, Prediction Error Method for Parameter Identification- the idea of relaxation, Iterative self-organizing data analysis, Join repetitive control, PV modules contain, MPPT module, BOOST module, inverter module, Various resource allocation algorithm, Signal dimension estimates.)

说明：  ofdm信道 的模型 仿真 整个全由 可以探讨学习(ofdm channel model simulation of the whole can learn from the)

high refractive index metals

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

自己编程实现的MATLAB gui界面，能实现对.edit框中输入数值的加1，减一，乘2，除2，等相关操作。源码见压缩包。(The MATLAB gui own programming interface, can achieve. Edit box, enter the value plus 1, minus one, multiplied by two, in addition to 2, and other related operations. See the source tarball.)

rbf neural network approximation