static-position

二阶线性切换系统稳定切换律的设计与仿真的源程序 (Second-order switched linear system is stable and the design and simulation of switching law)

实现立体空间的多目标空间定位，对于被动测距问题，有着深入的思考和功能仿真。(Multi-dimensional space to achieve target location, for passive ranging issues, with in-depth thinking and functional simulation.)

考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。(consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power)

粗糙集理论是一种基于对现实世界进行不确定描述的理论,属性约简是粗糙集理论的核心理论之一。对粗糙集理论进行阐述,并给出基于启发式的知识约简算法,最后结合MATLAB程序实例说明了该算法的可行性与有效性。(Rough set theory is based on the uncertainty of the real world is described in theory, attribute reduction is the core theory of rough set theory one. Elaborate on the rough set theory, and gives the knowledge-based heuristic reduction algorithm, and finally with MATLAB program example illustrates the feasibility and effectiveness of the algorithm.)

带APFC的Boost升压变换器在Matlab中的仿真实现(Boost converte with APFC simulated in matlab/simulink)

并行组合扩频系统程序，包括数据映射程序和数据逆映射程序(Parallel Combinatory Spread Spectrum system simulation)

The following Matlab project contains the source code and Matlab examples used for continuous morlet wavelet transform. For documentation please refer to: http://arxiv.org/abs/0706.0099

matlab simulink model reciver

利用卡尔曼滤波估计锂离子电池的SOC状态，可以达到良好的效果，误差很小。(Using Kalman filter to estimate SOC state of lithium-ion battery and it can achieve good results with little error.)

基于MATLAB中的对于风电场模型的仿真(Based on MATLAB in the simulation model for wind farms)