资源列表
proposed
- 实现OFDM中符号的定时同步以及频偏估计(Timing synchronization and frequency offset estimation of symbols in OFDM)
te2
- 为解决信号检测过程中噪声不确定性的影响，以接收信号协方差矩阵为基础，提取其特征值作为检测统计量进行频谱感知(In order to solve the influence of noise uncertainty in the signal detection process, based on the covariance matrix of the received signal, the characteristic value is extracted as the detection
band_stop
- 对原图的直方图做带通滤波，然后采用直方图均衡，对图像进行直方图均衡。(Histogram of the original image to do band pass filtering, and then histogram equalization, histogram equalization of the image.)
Support MATLAB Files
- use for monopole antenna to acquire broadcast infor
2askSER
- 实现matlab下2ASK通过高斯白信道采用相干解调 的符号信噪比/误符号率/误比特率计算 。以及调制后波形的显示，包括2FSK仿真误码率','2FSK理论误码率图形。(Calculation of symbol signal-to-noise ratio / symbol error rate / bit error rate of 2ASK through coherent demodulation in white channel under matlab. And modulation
encode
- 信息论中的霍夫曼编码以及费诺编码的基础编码(HUOFUMAN encode Fanocode)
BtoC
- 文件中有两种方法实现并串转换模块代码的编写，可以在modelsim软件中正确仿真(There are two methods in the file to achieve the serial conversion module code writing, can be correctly simulated in Modelsim software)
satellite_orbit
- 根据卫星的轨道跟参数计算中低轨道卫星的轨道(calculate the orbit of LEO or MEO satellite)
costas环解调
- costas环解调程序，需要的可以参考一下。costas环解调.m(It is a matlab code for demodulation as costas ring .if you are interested in it, you can refer to it.)
ReinforcementLearning
- 马尔卡夫决策过程理论定义了一个数学模型，可用于随机动态系统的最优决策过程。 强化学习利用这个数学模型将一个现实中的问题变成一个数学问题。 强化学习就是：追求最大回报G 追求最大回报G就是：找到最优的策略π?。 策略π?告诉在状态s，应该执行什么行动a。 最优策略可以由最优价值方法v?(s)或者q?(s,a)决定(The Markov decision process theory defines a mathematical model that can be used for the
PMSMdq
- 本人自己做得仿真，matlab电机模型，simulink,仿真包括模型和s函数(My own simulation, matlab motor model, simulink, simulation includes model and s function)
relativity
- 计算图像水平相邻、垂直相邻、对角相邻像素之间的相关性(relativity between pixel of image)