rengongyuqun

Nonstationary Channel Estimation using a Kalman Tracking Filter 卡尔曼滤波算法的一个一个用，可用作 efk学习之用(Nonstationary Channel Estimation using a Kalman Tracking Filter Kalman filter algorithm one by one, and can be used as a learning efk)

平滑支持向量机 SSVM以及SSVR 的源代码(smooth support vector regression )

Spectral analysis and correlation of stochastic discrete signals

主要描述的是平面电磁波的电磁散射问题，适合搞电磁计算的科研人员等(This guide provides a brief reference to the Graphical User Interface (GUI) that implements the propagation of a TE (Transverse Electric)/TM (Transverse Magnetic) plane wave through a multilayered structure of media with different electromagnetic characteristics. The incident wave is a TE/TM plane wave in the the zy plane (sinusoidal regime with temporal convention ejωt ), traveling from+z to-z. )

本程序用于完成BPSK、QPSK、8PSK的调制仿真。并可任意扩展到MPSK和MQAM。程序分成三个部分：phase.m对基带码元序列进行脉冲成型，可选矩形脉冲，升余弦脉冲和平方根升余弦脉冲； model.m 为主程序，完成各种信号的基带星座图映射、脉冲成型和调制； command.m给出一个简单的频谱显示测试。(This procedure for the completion of BPSK, QPSK, 8PSK modulation simulation. Arbitrary and may be extended to MPSK and MQAM. Program is divided into three parts: phase.m symbol of the baseband shaping pulse sequences, optional rectangular pulse, the square root raised cosine pulse and raised cosine pulse model.m-based procedures, completed a variety of base-band signal constellation mapping , pulse shaping and modulation command.m given spectrum shows a simple test.)

LMS自适应算法 自适应横向滤波器两个权值，输入随机信号r（n）的样本间相互独立，且它的平均功率为Pr =E[r2(n)]=0.01，信号周期为N=16个样点。求最佳权向量解ω0和收敛因子μ的取值范围，并分别汇出ω(0)=[0 0]T，μ=0.1及ω(0)=[4 -10]T，μ=0.05时，两种情况下的权值变化轨迹和第一种情况下误差e(n)与迭代次数n的关系曲线。(LMS adaptive algorithm The right value of the change trajectory)

gui编程中有用的几个程序段，值得借鉴学习学习(Several useful gui programming block, is worth learning learn)

该程序是基于粒子群算法优化支持向量机中的正则化参数C和核函数参数K的算法，实现了对电力负荷的短期预测，预测效果较好，可根据自己要求进行更改。(The algorithm is based on particle swarm optimization algorithm to optimize regularization parameter C and kernel function parameter K in support vector machine. It realizes the short-term prediction of power load, and the prediction effect is good, and can be changed according to the requirements.)

wavelet code in matlab. its representation of reading alphbets

CHOOSENK All choices of K elements taken from 1:N