tls_esprit

边缘是图像最基本的特征，是图像分割的第一步。经典的边缘检测方法如：Roberts，Sobel，Prewitt，Kirsch，Laplace等方法，基本都是对原始图像中象素的小邻域构造边缘检测算子，进行一阶微分或二阶微分运算，求得梯度最大值或二阶导数的过零点，最后选取适当的阀值提取边界。由于这些算法涉及梯度的运算，因此均存在对噪声敏感、计算量大等缺点。在实践中，发现SUSAN算法只基于对周边象素的灰度比较，完全不涉及梯度的运算，因此其抗噪声能力很强，运算量也比较小。并将SUSAN算法用于多类图像的边缘检测中，实验证明该算法非常适合含噪图像的边缘检测。 2 SUSAN边缘检测简介 (err)

自适应PID在过程控制中的应用研究_孙泽勇1(Adaptive PID control application in process research _ Sun Zeyong a)

交互多模型 用于解决机动目标跟踪 问题(IMM for maneuvering target tracking problem solving)

filter，本代码主要介绍filter的主要步骤，非常简单有很明了，非常适合阅读(Filter, the code describes the main steps of filter are very clear, very simple, very suitable for reading)

基带ofdm系统的实现用matlab来仿真，使用matlab的图形构件GUI，形象，便于理解(Base-band OFDM system using matlab to simulation, using matlab graphics component GUI, image, easy to understand)

this book contains the matlab codes for power system analysis problems which also helps to write the matlab programs

matlab编写的sierpinski地毯程序(sierpinski carpet written matlab program )

说明：  产生伪随机噪声的MATLAB程序，在通信系统仿真可以用到(produce pseudo-random noise MATLAB procedures, the communications system simulation can be used)

倒立摆和PID控制一起使用时对于倒立摆的仿真，可以有效地改善对于倒立摆的模糊控制作用(For the inverted pendulum simulation, can effectively improve the role of fuzzy control for inverted pendulum pendulum and PID control when used in conjunction)

本设计主要对4PSK调制方式的信号，利用MATLAB的m文件进行最佳接收机的设计与仿真。对输入的叠加噪声的4PSK调制信号进行接收，利用相关解调器来实现信号解调，及最大似然准则来实现检测器。在相关解调器中，接收信号分别与基函数 和 相乘再积分。在检测器中，利用相位来判断输出，从而最终得到接收的数据。采用随机二进制数通过4PSK调制后叠加高斯白噪声再对设计的接收机进行测试，从测试的结果可看出，在信噪比大于-8dB时，误码率为0，说明该接收机较好的实现了抗噪声性能。(The design of the main 4PSK modulation mode of the signal, the use of MATLAB m file for the best receiver design and simulation. The 4PSK modulated signal of the input superimposed noise is received, and the demodulator is realized by the relevant demodulator, and the maximum likelihood criterion is used to realize the detector. In the associated demodulator, the received signal is multiplied by the basis function and multiplied by the basis function. In the detector, the output is judged by the phase, and finally the received data is obtained. Using the random binary number through 4PSK modulation after the superposition of white noise and then the design of the receiver to test the test results can be seen in the signal to noise ratio greater than-8dB, the bit error rate is 0, indicating that the receiver is better The realization of the anti-noise performance.)