pcf7930_31_35__memory_organization

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)

Square PA=LU factorization *with row exchanges*.

exercise for newbie matlab

说明：  i want matlab code for image processing in 3d modeling technique

用matlab中的simulink模拟的一个rs触发器 (Simulink with matlab simulation in a rs flip-flop)

说明：  用matlab建立一个网络模型。希望对大家有帮助。(Using matlab to establish a network model. We hope to be helpful.)

matalb教程，涉及到卡尔曼滤波问题的基础教程，线性系统、随即系统、周期系统、非线性系统等的分析(matalb tutorials, related to Kalman filtering problem based tutorials, linear systems, then systems, periodic systems, nonlinear systems analysis)

利用matlab对数据进行方差分析，有现成代码和案例数据可使用(Use of matlab data analysis of variance, have a ready-made code and data can use cases )

SVM classifier in matlab

说明：  机器人同时定位与地图创建研究中重要的内容(important for SLAM)