多智能体

lscma soure code and description

We formulate a scheduling problem that takes into account different hardware delays experienced by the secondary users (SUs) in a centralized cognitive radio network (CRN) while switching to different frequency bands. We propose a polynomial-time suboptimal algorithm to address our formulated scheduling problem. We evaluate the impact of varying switching delay, number of frequencies, and number of SUs. Our simulation results indicate that our proposed algorithm is robust to changes in the hardware spectrum switching delay and its performance is very close to its upper bound. We also compare our proposed method with the corresponding constant switching delay-based algorithm and demonstrate that our suggestion of taking into account the different hardware delays while switching to different frequency bands is essential for scheduling in CRNs.

说明：  极限学习机一种单隐层神经网络，用于数据分类，故障诊断等(ELM is A single hidden layer neural network for data classification, fault diagnosis, etc)

字典学习的各种方法，K-SVD,online等主要的学习算法(Various methods dictionary learning, K-SVD, online learning algorithms and other major)

sourceRadar.m 产生雷达数据 sourceIR.m 产生红外数据 EKF_Radar.m 雷达数据扩展卡尔曼滤波 EKF_IR.m 红外数据滤波 Asynchronism_Radar.m 雷达数据同步 Asynchronism_IR.m 红外数据同步 fusion_asyn.m 异步数据融合(sourceRadar.m produce radar data sourceIR.m radar data to produce infrared data EKF_Radar.m extended Kalman filter EKF_IR.m infrared data filtering Asynchronism_Radar.m Asynchronism_IR.m infrared radar data synchronization data synchronization fusion_asyn.m asynchronous data fusion)

说明：  毕业设计之跳频通信系统的设计与仿真，配有仿真结果说明。(Frequency hopping communication system)

提出了一种改进的积分梳状(CIC) 滤波器. 在改变传统积分梳状滤波器的延迟因子的 同时,将锐化(Sharpen) 技术和相位分解技术应用于此滤波器. 改进后的滤波器与传统滤波器 相比,减少了信号失真,降低了系统功率消耗. 仿真结果表明,改进后的滤波器在通带范围内的 波动很少,而且,具有较高的阻带衰减.(An improved Integrator Comb (CIC) filter. In changing the traditional integral comb filter delay factor, we will Sharpen (Sharpen) technology and phase decomposition technique used in this filter. Improved filtering Compared with the traditional filter device to reduce the signal distortion and reduces system power consumption. The simulation results show that the improved pass-band filter in the framework of the volatility of small and with high stopband attenuation.)

这是一个异步电机无速度传感器的矢量控制仿真模型，其中转速辨识用的是模型参考自适应法。(This is an asynchronous motor vector control without speed sensor simulation model, which is used to identify the speed model reference adaptive method.)

Chapter 3. The Solution of Linear Systems AX = B Algorithm 3.1 Back Substitution Algorithm 3.2 Upper-Triangularization Followed by Back Substitution Algorithm 3.3 PA = LU Factorization with Pivoting Algorithm 3.4 Jacobi Iteration Algorithm 3.5 Gauss-Seidel Iteration

完整的Matlab程序，本程序为人工鱼群算法优化支持向量机参数，并取得良好效果(Complete Matlab program, the procedure for the artificial fish school algorithm parameters optimized support vector machine, and achieved good results)