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MATLAB中进行关于智能车的PID参数调节例程.(MATLAB, on the smart car to adjust PID parameters of routine.)

说明：  关于matlabGUI方面的学习在书中有详细的介绍，方便读者学习(About matlabGUI area of ​ ​ study described in detail in the book allow readers to learn)

雷达测向空间谱估计经典算法，ESPRIT算法，matlab实现(Radar to the spatial spectrum estimation the classical algorithm ESPIRIT algorithm, matlab realize)

用LABVIEW进行的实验内容参考书籍虚拟仪器LABVIEW7 EXPRESS程序设计(Experiments carried out with the content LABVIEW virtual instrument LABVIEW7 EXPRESS reference books programming)

这个程序可以实现牛顿环(Newton s rings)的演示, 其中可调参数包括波长, 透镜曲率半径及最低点空气缝隙的厚度.参数的调节是通过欢快实现的,其中颜色 随波长近似的变化. 本程序可以增进读者对牛顿环的理解.(this procedure can be achieved Newton Central (Newton's rings) demonstration. with adjustable parameters including wavelength, lens curvature radius and minimum thickness of the air gap. Parameter adjustment is achieved through the jubilant, With these color changes in the wavelength approximation. The procedure can improve readers to understand the Newton ring.)

用于大矩阵，采用矩阵运算优先速度的dtw算法实现。 dtw:Dynamic time warping 动态时间弯曲算法(dtw:Dynamic time warping )

说明：  matlab,对解决学习中遇到的实际问题会有很大的帮助(Matlab, learning to solve practical problems encountered in will be a big help)

基于能量检测的频谱感知.由于实际信道中的多径和阴影效应，单个认知用户频谱感知的性能受到影响，因此需要靠不同用户间的协同频谱感知来对抗多径和阴影效应。本设计要求在文中采用一种协作机制，即两用户进行协作频谱感知，提高主用户的检测率，减少检测时间，并且得到捷变增益。要求给出仿真结果。(spectrum sensing in cognitive radio based on energy detection.As the channels in diameter and shadow, not a single user spectrum of capabilities and therefore need different between a user to the spectrum is perceived as more and the effect. this design for the use of a coordination mechanism, the two users collaborate spectrum, the detection rate of increase and decrease the test of time and get a change requires immediate gain. some emulation. )

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In this section, the PAPR performance of the proposed algorithms is shown. To evaluate the PAPR performance, the CCDF is employed. The specification detail of simulation parameters is given in TABLE I. In Fig. 5 is shown the PAPR with a PTS method (U = 8) and conventional PTS (U = 4) are improved 4.3 dB and 2.6 dB from ordinary MIMO-OFDM signal when CCDF = 10− 4 respectively and Fig. 6 is shown the PAPR with an optimal PTS method in case of 128 subcarriers.