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学习连续时间信号和离散时间信号在MATLAB中的表示(Learning continuous-time signals and discrete-time signal representation in MATLAB,)

morave code for matlab

利用雷达方程，分析在相干积累和非相干积累脉冲数两种情况下SNR增益与积累脉冲数的关系，得出相应的结论图像。(Using the radar equation to analyze the relationship between the SNR gain in the case of coherent integration and non-coherent accumulated pulse number two with the accumulation of the number of pulses, the corresponding conclusions images.)

利用基于生理的情感神经网络，包含杏仁体，丘脑，视觉神经等重要元素，可用于分类与预测，性能优越于SVM(The use of neural network based on emotional physiology, contains important elements of the amygdala, thalamus, optic nerve, etc., can be used for classification and prediction, superior performance to SVM)

流形学习中的非线性降维方法——等距映射(ISOMAP)算法的MATLAB实现，可以实现高维数据的降维处理，寻找到原始高维数据的特征维数。(ISOMAP is a method which can deal with the high dismensional data and find the low type of orignal data!)

静止无功补偿器 直接电流控制法的matlab模型(The matlab model of direct current control method for static reactive compensator.)

vblastpic1:tx=2,rx=2时ZF,ZF-SIC,MMSE,MMSE-SICvblastpic2:tx=4,rx=4时ZF,ZF-SIC,MMSE,MMSE-SIC vblastpic3 vblastpic4:MIMO vblastpic6:tx=4,rx=4, vblastpic7ZF-SIC(unordered) vblastpic8: vblastpic9: vblastpic10: vblastpic11:能 vblastpic12:tx=2,rx=2,MMSE-SIC , tx=2,rx=2,ML vblastpic13:tx=2,rx=2,Vblast ML检测 (QPSK调制) vblastpic14:tx=2,rx=2,ZF-PIC检测性能 vblastpic15:tx=4,rx=4,Vblast QR分解检测 vblastpic16:tx=4,rx=4,VBLAST ML检测 (QPSK调制)

2PSK和 2DPSK信号的调制与解调性能比较分析(Comparative analysis of modulation and demodulation performance and 2DPSK signal 2PSK)

在matlab的环境下进行的维纳滤波法图像复原模拟实验(Wiener filtering method for image restoration on Matlab)

遗传算法求解TSP问题，程序更加简洁明了，适用性更加灵活(Genetic algorithm for solving TSP problem)