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matlab code for gabor filter

根据M值的改变可以产生2、4、8、16PSK数字调制基带信号，且成形滤波器可任选升余弦、根升余弦、高斯。(M may be generated according to a change value 2,4,8,16PSK baseband digital modulation signal, and optionally raised cosine shaping filter, the root raised cosine, Gaussian.)

二维小波变换,实现一维和2维小波变换，并含各种攻击，包括剪切，缩小为75 攻击(Two-dimensional wavelet transform)

最近在研究用友软件时收集到的资料，EAI.(UF software recent study collected information, EAI.)

The solution of the book "Engineering Electromagnetics"（美）william H.Hayt,jr.(2001)著，第六版答案，网上很难找的，很有价值(The solution of the book "Engineering Elec tromagnetics "(U.S.) william H. Hayt. jr. (2001) to, the sixth edition of the answer, it is very difficult to find online, valuable)

基于模糊控制的PID温度控制器的设计 :将模糊控制和PID 控制相结合起来，通过模糊控制实现PID 参数自适应的方法来控制系统温度。这种Fuzzy- PID 策略，模糊控制的采用不是代替PID 控制，而是对传统控制方式的改进和扩展，它既保持了常规PID 控制系统结构简单、使用方便、鲁棒性强、控制精度高的优点，又采用模糊推理的方法实现了PID 参数PK、IK、DK的在线自整定，兼具了模糊控制灵活性、适应性强的特点，相比单纯的任一种控制效果都要好(PID temperature controller design based on fuzzy control: fuzzy control and PID control combine to achieve PID adaptive approach to control system temperature by means of fuzzy control. This Fuzzy- PID strategy is not to replace the use of fuzzy control PID control, but the traditional control methods to improve and expand, both to maintain a simple and conventional PID control system structure, easy to use, robust, and high control accuracy advantages, but also the use of fuzzy inference PID parameters to achieve the PK, IK, DK-line self-tuning, both the fuzzy control flexibility, adaptability features, compared to simply have a good control effect either)

针对一个典型的飞机巡航问题，运用模拟退火算法，解决选择最短路问题(Using simulated annealing algorithm to choose the shortest path problem)

测试样本集对每个模式进行加噪处理，噪声值为±0.1。若网络能对加噪模式进行正确分类，则认为该网络已训练完成。(Test sample set for each pattern plus noise processing, the noise value of ± 0.1. If the network can add noise to the model correctly classified, then that the network has completed the training.)

lms and linear convolution

说明：  EMD分解仿真程序，基于EMD分解的仿真信号实例分析 (EMD decomposition simulation program, based on examples of EMD decomposition of simulated signal)