nrlfppg

使用imfilter和fspecial实现空间滤波(To use imfilter and fspecial spatial filtering)

The Matrix Cookbook 这个资料包含了矩阵的各种运算公式，对于不熟悉矩阵运算的朋友可以看看(The Matrix Cookbook This information contains a variety of computing equation matrix matrix operations are not familiar friends can see)

说明：  对给定的二阶欠阻尼传递函数，编制一个函数程序，计算阶跃响应的特征参数 超调量б ，峰值时间Tp，上升时间Tr，过渡过程时间Ts（2 ） (For given second-order owe damping transfer function, prepare a function and calculation programs step response characteristic parameters of first б overshoots, peak time, Tp Tr, rise time of transition time Ts (2) )

这个文件的功能是实现各种DOA估计算法的性能仿真验证，并完成DOA估计中MUSIC算法、Capon算法以及延迟相加算法性能比较的仿真验证的功能(This file is the function of various DOA estimation algorithms to achieve the performance simulation, and complete the MUSIC DOA estimation algorithm, Capon algorithm and delay sum algorithm performance comparison of the simulation function)

电磁场与电磁波课题阶段性研究以及公式推导(Electromagnetic Fields and Waves phased research topics as well as the derivation formula)

此代码仿真了一个语音输入输出系统，语音信号经过AD转换后，经过DSSS调制解调后，通过DA转换还原输入的声音，每一步的的波形都可以观测，对实际DSSS系统设计有很大的参考价值(This code simulation of a voice input and output systems, speech signal after AD conversion after DSSS modem through DA conversion to restore the input voice, each step of the waveform can be observed, the actual design of DSSS systems have great reference value)

此程序可由固定位置的标定点，逆推摄像机的世界坐标。(This procedure can be fixed by the location of the calibration points, the world coordinate inverse camera. )

采用遗传算法和三次样条插值法对已给数据进行拟合，得出最优取点方案(Genetic algorithm and cubic spline interpolation method is to fit the data, obtain optimum take-point program)

基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。(Prediction of future availability times of different channels based on history information helps a cognitive radio (CR) to select the best channels for control and data transmission. Different prediction rules apply to periodic and stochastic ON-OFF patterns. A CR can learn the patterns in different channels over time. We propose a simple classification and learning method to detect the pattern type and to gather the needed information for intelligent channel selection. Matlab simulations show that the proposed method outperforms opportunistic random channel selection both with stochastic and periodic channel patterns. The amount of channel switches needed over time reduces up to 55 , which reduces also the delay and increases the throughput.)

matlab GUI界面B样条曲线绘制，内附说明文档,可以移动控制点(B spline curve drawing program with matlab GUI interface )