MATLAB

说明：  在MATLAB下的数字信号处理的一些应用和实例(Under the MATLAB digital signal processing applications and examples of some)

作为一个有吸引力的技术， 减轻多径干扰的正交频 分复用（OFDM）已经被广泛应用 在各种广播系统，诸如数字 视频广播（DVB）系统。尽管它的竞争力 属性，OFDM信号的特点是非常高的 峰值对平均功率比（PAPR）的水平。( As an attractive technique in mitigating the multipath interference, Orthogonal Frequency Division Multiplexing (OFDM) has been widely applied in various broadcasting systems such as, the Digital Video Broadcasting (DVB) systems. Despite its competitive attributes, OFDM signals are characterized by very high Peak-to-Average Power Ratio (PAPR) levels.)

非线性电容的matlab/simulink模型，实测可用！(Nonlinear capacitance matlab/simulink model, the measured available!)

实现基于加权最小二乘法的电力系统状态估计算法，以于老师写的书里面四节点算例仿真(Implementation based on weighted least-square method of power system state estimation algorithm, with the teacher wrote the book four node example simulation)

基于反步法的欠驱动AUV水平面直线航迹跟踪控制(Straight-line trajectory tracking control of underactuated AUV in the horizontal plane based on backstepping)

MACD量化趋势交易的MATLAB编程，回测各指标的代码以及Excel输出(MACD quantify trends transaction MATLAB programming, backtesting of each index code, and Excel output)

本文详细描述了基于matlab使用多种方式对路径进行跟踪的智能车仿真。包括多种模型的建立，误差分析算法等(A detailed description of the use of a variety of ways to track the path of the smart car simulation)

地震数据 segy 文件，读写工具 readsegy(segy tools)

利用Matlab生成GPS C/A 码的基带信号。 （1）产生卫星PRN 号码为“5”的一组C/A 码； （2）循环生成25 页的导航数据，GPS 时间可填入一固定的已知数值； （3）生成C/A 码扩频信号，每个C/A 码码片给出4 个采样数据； （4）基带信号采用方波信号，电平为0 和1，占空比为50 ％， 不加入噪声，进一步生成某个特定的中频信号(The baseband signal is generated using Matlab GPS C/A code. (1) generate satellite PRN number " 5" is a set of C/A code (2) loop generates 25 navigation data, GPS time can be filled with a fixed known value (3) generated C/A code spread spectrum signals, each C/A code chip sample data is given 4 (4) a baseband signal using a square wave signal with a level of 0 and a duty cycle of 50 , the noise was not added, and further generates a a specific frequency signal)

实现MATLAB对茶壶采集的的点云数据网格生成，并细化(MATLAB to achieve the collection of the teapot point cloud data grid generation, and refinement)