qq715

k Nearest Neighbor matlab code

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)

Statistical Pattern Recognition Toolbox for Matlab

genetic programming and orthogonal least square

matlab数字图像处理，很实用的咯，关于图像的斑点检测(matlab digital image processing, it is useful cough, spots on the image detection)

说明：  电力系统中matlab潮流计算所需要的节点注入功率母线数据等等30、69节点(Node injection power bus data for power flow calculation of MATLAB in power system and so on)

Informed Search techniques

Matlab inline-lsqcurvefit 参数拟合例子的源代码(Matlab inline-lsqcurvefit parameter fitting examples of source code)

Matlab2010经典超强中文教程,一个功能强大的教材，对软件功能和函数命令使用有系统的讲解。适合初学者。(The classic super matlab2010 Chinese guide, a powerful teaching materials, to explain the use of software features and functions command system. Suitable for beginners.)

DTMF报告和代码，基于simulink仿真，通过GUI调用m代码和simulink，可加噪音。(DTMF reports and code, based on simulink simulation, call m code and simulink through GUI, can add noise.)