dgnc_cls

A SIMPLE MODEL ESTIMATOR FOR MULTIPLE MODEL CONTROL. BUCK DC-DC CONVERTER APPLICATION

用matlab软件对HSUPAA系统进行仿真，主要是调度算法之类 (Matlab software HSUPAA system simulation, is the class of scheduling algorithms)

通信系统的自适应均衡器，能够恢复失真的PSK信号(Adaptive equalizer communication system, a PSK signal to recover distorted)

genetic algorithm on optimization Parameters program

这是两个使用matlab实现的AP（affinity propagation）算法，一个是普通的AP算法matlab源代码，一个是用于稀疏数据处理的AP算法matlab实现源代码。(试试带有自动翻译功能的新型浏览器。下载 Google Chrome 浏览器关闭翻译中文英语德语检测语言 英语中文(简体)日语 翻译文字或网页 这是两个使用matlab实现的AP（affinity propagation）算法，一个是普通的AP算法matlab源代码，一个是用于稀疏数据处理的AP算法matlab实现源代码。 请键入文字或网站地址，或者上传文档。 取消 Zhè shì liǎng gè shǐyòng matlab shíxiàn de AP(affinity propagation) suànfǎ, yīgè shì pǔtōng de AP suànfǎ matlab yuán dàimǎ, yīgè shì yòng yú xīshū shùjù chǔlǐ de AP suànfǎ matlab shíxiàn yuán dàimǎ.This is both the use of matlab AP (affinity propagation) algorithm, an ordinary AP algorithm matlab source code, one for AP sparse data processing algorithm matlab source code.)

阵列信号处理_空间谱估计原理的一些基本算法——MusicEspritMp(Array signal processing _ the principle of spatial spectrum estimation of some of the basic algorithm- MusicEspritMp)

不同频率条件下移动终端智能天线信噪比性能分析。。。。。。。。(不同snr)

用于图像处理中的图像融合的一些代码，对于不同图像处理的结果融合效果不错(lsq)

多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。(Multivariable input, output, and more interference, complex nonlinear and strong coupling system control is a more difficult problem, commonly used multivariable controller may be because the problem is difficult to control the coupling system. PID neural network is a multi-front to neural networks, its number of neurons in each layer, connection, connection weights are in accordance with the existing principles and experience to determine the PID control law is a dynamic compliance before the control system to the network. However, due to the random initial weights of the network PID values ​ ​ of reason, every time there are differences in the effect of control and in some cases the control effect is still relatively poor. This case study of multivariable coupling system based on PID control neurons, and with PSO algorithm to optimize the controller to achieve better control effect.)

处理信号的时频分析，可以得到很精确的幅值、频率、相位估计，可实现对二维数据的聚类，结合PCA的尺度不变特征变换(SIFT)算法，计算多重分形非趋势波动分析，用于建立主成分分析模型。( When processing a signal frequency analysis, You can get a very accurate amplitude, frequency, phase estimation, Can realize the two-dimensional data clustering, Combined with PCA scale invariant feature transform (SIFT) algorithm, Calculate the multifractal trend fluctuation analysis, Principal component analysis model for establishing.)