art_iter

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。(As the actual channel of the multi-path and shadow effect, a single user of spectrum sensing of cognitive performance are affected, it needs to depend on collaboration between different users of spectrum sensing to combat multipath and shadow effects. The design requirements in the text using a cooperation mechanism, namely, two user collaborative spectrum sensing, to improve the detection rate of the primary users, reducing detection time, and get agility gain. Required to give simulation results.)

mathlab的三个分别灰色绝对关联度，相对关联度，归一关联度的代码，是三份M文件(mathlab absolute correlation of the three were gray, relative correlation, normalized correlation of the code, the file is three M)

在matlab平台下的小电流接地故障仿真(Grounding Fault Simulation of Small Current for matlab)

EMD的扩展算法，集合经验模态分解(EEMD)， 程序完整可运行(Extension algorithm of EMD, ensemble empirical mode decomposition (EEMD), complete and runnable program)

In this paper, a multimodal image fusion algorithm based on multiresolution transform and particle swarm optimization (PSO) is proposed. Firstly, the source images are decomposed into low-frequency coefficients and high-frequency coefficients by the dual-tree complex wavelet transform (DTCWT). Then, the high-frequency coefficients are fused by the maximum selection fusion rule. The low-frequency coefficients are fused by weighted average method based on regions, and the weights are estimated by the PSO to gain optimal fused images. Finally, the fused image is reconstructed by the inverse DTCWT. The experiments demonstrate that the proposed image fusion method can illustrate better performance than the methods based on the DTCWT, the support value transform (SVT), and the nonsubsampled contourlet transform (NSCT).

PID神经网络 BP神经网络 本人自编 PID采用增量式PID控制(PID neural network BP neural network self I use incremental PID control PID)

update on eliminate the steady-state error to a step reference

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)

对tenor张量进行补全并最小化范数，得到tensor的分解形式(ADMM Complementing the tenor tensors and minimizing the norm, we get the decomposition form of tensor.)

说明：  频谱图，做工程振动，频谱分析。绝对可运行！(spectrogram in vibration analysis)