Double-closed-loop-dc

OFDM系统中 抗多径衰落的 仿真，matlab实现(OFDM SYSTEM)

MATLAB的GUI教程,GUI的基本说明与操作以及部分实例,内容为英文(MATLAB GUI guides, a basic description of the GUI and operating, and some examples, says English)

Imperialistic Competitive Algorithm (ICA) Version 1.9 - May 2010

语音识别教程，内附源文件和学习文件，可对照学习(speech recognition learning )

Kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.

GprMax的理论基础是时域有限差分(FDTD)方法。时域有限差分方法直接将Maxwell方程作差分离散，利用二阶精度的中心差分近似把Maxwell方程中的微分算符直接转换为差分形式，在空间和时间上对电场和磁场交替间隔取样，使计算过程完全模拟电磁波逐步传播以及与目标物体相互作用的过程。(GprMax is based on the theory of the finite difference time domain (FDTD) method. The finite difference time domain method directly will Maxwell equation of discrete difference, using second order precision of the central difference in the equations are Maxwell approximate differential operator directly convert difference forms, in the space and time of electric field and magnetic field on alternate sampling interval, making the calculation process simulation electromagnetic wave propagation and completely step by step and target object interaction process. )

本代码主要是仿真了阵列信号的music算法的基本性能。如估计精度随信噪比的变化和天线孔径的变化。(This code is mainly the array signal simulation algorithm for the basic properties of music. If the SNR estimation accuracy with the changes and changes in the antenna aperture.)

ali is assigned tasks for matlab

weather prediction using ANFIS

智能天线技术是第三代移动通信系统的关键技术之一，也是国内外热门的研究课题。由于无线移动通信的信道传输环境具有复杂性和不确定性，存在多径衰落和时延扩展，因此造成了符号间串扰、同信道干扰、多址干扰等，这些干扰降低了链路性能和系统容量，智能天线技术是解决以上问题的方法之一。 本文首先阐述了智能天线和白适应波束形成的基本理论，然后对自适应算法进行了研究。对一些基本的自适应算法最小均方算法、恒模算法及递推最小均方算法进行了分析讨论，用计算机仿真的结果论证了算法的性能。针对相干干扰介绍了空间平滑技术，对传统的相干干扰抑制方法-空间平滑法进行了分析，采用改进算法有效降低了空间平滑算法的运算量。对信号波达方向(DOA)的估计是智能天线研究的另一关键问题。第四章在介绍了阵列信号处理方法的基础上，先简单介绍了Bartlett、Capon、MUSIC等空间谱估计算法，分析了信源数目过估计与欠估计情况下的MUSIC算法性能，提出一种改进算法，在信源数目有误差的情况下该算法的性能良好。第五章针对多径干扰环境，在分析MMUSIC算法的基础上，本文提出了基于低秩矩阵逼近法的改进MUSIC算法(In this paper, firstly, the author illustrates the principles of smart antenna and adaptive beam forming, and then introduces some typical adaptive algorithms, the LMS ,CMA and RLS algorithms are analyzed and discussed and simulate them in the computer to prove their capability. but they have the disadvantage of high complexity, so they are not fit for practice. The paper analyses the conventional method rejecting spatial smoothing coherent interfering signals, which is spatial smoothing technique)