pedulum-lqr

RBF. Training radial basis neural networks with the extend Kalman filter

产生一定载波频率、重复频率及脉冲间隔的高斯形脉冲信号(Produce gaussian signal with certain repetition frequency, the carrier frequency and pulse interval)

DSP C語言與Simulink界面聯 結 操作手冊(dsp c language Simulink dsp c language Simulink)

摘要:提出了一种新型的人工免疫算法用来解决多目标函数优化问题。基于自然免疫系统固有的优良特性对算法进行了设计和分析。 最后,算法对3个较复杂的多目标问题进行了优化,优化结果能很好地覆盖问题的Pareto最优面,并且把算法与某些混合遗传算法进行 了对比实验,表明人工免疫算法在解决多目标优化问题上具有可观的研究前景。 (Abstract:In order to effectively solve multiobjective optimization problems, a novel artificial immune algorithm is proposed. It is de signed and analyzed based on excellent intrinsic features of nature immune systems. Additionally, the algorithm sensitivity to its tuning pa rameters is briefly assessed. Finally, the algorithm is applied to solve three complex multiobjective optimization problems and the results ca perfectly map the Pareto-optimal fronts. By comparing the algorithm with some genetic algorithms, it shows the good prospect to apply ar tificial immune system to solve multiobjective optimization problems. )

利用matlab软件来绘制Chessboard，可以用于摄像机张正友方法的标定(Using matlab software to draw the Chessboard, the camera can be used to calibrate the method of Zhang Zhengyou)

说明：  本代码用于matlab中数字信号得快速傅里叶变换及频谱分析(This code is used in matlab digital signal FFT and spectrum analysis)

LTE-A系统PUSCH功率控制算法.pdf (LTE-A system PUSCH power control algorithm)

一种改进的萤火虫算法解决动态0-1背包问题。经过测试，算法就有良好的性能。(Firefly Algorithm (FA), Genetic Algorithm (GA) and Differential Evolution (DE) have been widely used for static optimization problems, but the applications of those algorithms in dynamic environments are relatively lacking. In the present study, an effective FA introducing diversity with partial random restarts and with an adaptive move procedure is developed and proposed for solving dynamic multidimensional knapsack problems. To the best of our knowledge this paper constitutes the first study on the performance of FA on a dynamic combinatorial problem. In order to uate the performance of the proposed algorithm the same problem is also modeled and solved by GA, DE and original FA. Based on the computational results and convergence capabilities we concluded that improved FA is a very powerful algorithm for solving the multidimensional knapsack problems for both static and dynamic environments.)

Matlab Simulation FilesMatlab Simulation Files(Matlab Simulation Files)

QAM调制软比特解调，能够更准确进行解调。(Soft bit QAM modulation and demodulation, can be more accurately demodulated.)