ktslr_codes

自己搭建的一个模糊控制与PID控制相切换的模块，波形非常不错(fuzzy PID)

matlab实现kalman滤波，并标注(kalman filter)

Localization algorithm in Matlab

阵列信号处理，极化敏感阵列天线，空域极化域联合谱估计(Array signal processing, polarization sensitive array antenna, spatial polarization domain combined spectrum estimation )

particle fileter实现了一个最简单的sir滤波器(particle fileter achieved one of the most simple filter sir)

教你如何绘制三角形，带源代码！！！教你如何绘制三角形，带源代码！！！！(Teach you how to draw Triangle)

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)

说明：  关于滤波器的源码 能够在MATLAB上运行(On the source filter can be run in MATLAB)

This is the PCA matlab code using face recognition.

MATLAB CODE FOR DIGITAL COMMUNICATION