hurst

该程序实现了Baum-Welch算法，对于通信里面的调制解调有很大帮助，其次，该程序具有通用性。(The program achieved the Baum-Welch algorithm, for the communication modem inside helps a lot, and secondly, the program has the versatility.)

这段代码主要是实现二阶高斯低通滤波器，本段代码全部用MATLAB语言实现的。(This code is to achieve second-order Gaussian low-pass filter, the above code to achieve the full use of the MATLAB language.)

This is a model of a QPSK modulation system for transmission over a bandpass channel with fc = 100 Hz and B = 30 Hz and AWGN at the receiver. SRRC fi lters with excess bandwidth α = 0.18 are employed. The receiver includes an NDA timing recovery loop followed by a DD phase recovery loop. (This is a model of a QPSK modulation system f or transmission over a bandpass channel with fc = 100 Hz and B = 30 Hz and AWGN at the receiver. SRRC)

matlab自学经典教程，对初学者入门帮助较大(matlab self-classic guide more helpful to the beginner)

高速车辆组合导航研究，主要研究卡尔曼滤波，扩展卡尔曼滤波(High-speed vehicle navigation research, major research Kalman filter, extended Kalman filter)

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)

power electronics lab simulations

Matlab Function to analytically calculation of a frequency of a signal

Direct sequence spread spectrum (DSSS) communication systems has been widely used in these years for its advantage of wide spectrum, low working Signal-to-Noise ratio (SNR), anti-interference, anti-multipath effect and capability of LPI and LPD. They are increasingly replacing conventional communication forms and obtaining extensively applications in modern military and commercial communication systems, for example, CDMA communication system, GPS , measuring and control system, satellite chain, identification of friend or foe and etc. Therefore, corresponding DSSS electronic counter technique becomes a big problem to solve in electronic warfare domain. DSSS electronic counter technique including blind detection, blind parameter estimation and spreading sequences estimation. For the issue of DSSS electronic counter technique of DSSS/QPSK signal damaged by strong additive white Gaussian noise (AWGN), the main research content in this dissertation as follow.

有关于地面三维激光扫描的点云数据处理，模型构建和点云配准的各种文章(On the ground three-dimensional laser scanning point cloud data processing, model building and various articles of point cloud registration)