dfs(2)

用matlab实现无线计算器的功能,以声音信号为载波，采用2ASK编码.(Using matlab wireless calculator functions, and sound signals for the carrier, using 2ASK coding.)

This code is for Smith Controller in model predictive control.

BOC调制信号的简介。包括一般BOC信号和AltBOC信号。(About BOC modulation signal. Including general BOC signal and AltBOC signals.)

基于MATLAB的基带信号仿真系统，以BPSK为例。在MATLAB上仿真通过。(MATLAB-based simulation system of the base-band signal to BPSK as an example. In the simulation by MATLAB.)

文件包含了阵列信号的的圆阵，直线阵，平面阵的MATLAB代码。(File contains the array signal of the circular array, linear array, planar array of MATLAB code.)

The ridgelet transform (Candµ es and Donoho, 1999) was introduced as a sparse expansion for functions on continuous spaces that are smooth away discontinuities along lines. Our construction uses the ¯ finite Radon transform (FRAT) as a building block. Taking the one-dimensional wavelet transform on the projections of the FRAT in a special way results in the ¯ finite ridgelet transform (FRIT), which is invertible,non-redundant, and computed via fast algorithms.

matlab normalisation

这是给异步电机仿真初学者比较好的资料（仿真模型），可以学习一下，然后自己就能搭建出异步发电机的模型了。省得大家走弯路(This is a simulation of asynchronous motor starter is good information（Simulation models）, you can learn about and build asynchronous generator models, all by themselves.Save all detours)

卡尔曼滤波在目标跟踪中应用仿真研究。 子函数能完成对运动目标位置的卡尔曼滤波跟踪。 主函数针对一具体假设完成跟踪，并且完成蒙特卡罗仿真。 情景假定：有一两座标雷达对一平面上运动的目标进行观测，目标在 0-600秒沿x轴作恒速直线运动，运动速度为15米/秒，目标的起始点为(-10000米，2000米)。雷达扫描周期T=2秒，x和y独立地进行观测，观测噪声的标准差均为100米。(This program described the Kalman filter algorithm according to a given scenario, simulation achieved the target tracking observation data and Kalman filter results, and the experimental results is studied using the Monte Carlo simulation. )

A classical problem in scheduling and integer programming is the unit commitment problem. In this problem, our task is to turn on and off power generating plants, in order to meet a forecasted future power demand, while minimizing our costs. We have several different power plants with different characteristics and running costs, and various constraints on how they can be used. We will start with a very simple model, and then expand this model with more advanced features. To make the code easy to read, we will write it in a verbose non-vectorized format