SVM-multiple-class

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)

ldpc再发现者的著作,值得一看，有独到之处。(Probabilistic Reasoning in Intelligent Systems- Networks of Plausible Inference)

2000年SCI上发表的两篇开创性的流行学习文章的仿真代码。关于LLE和ISOMAP的仿真程序，其中详细说明了实现的步骤。(2000 SCI published two seminal study popular articles simulation code.)

模拟实验室中产生的清音和浊音，通过仿真产生清浊音的频谱图，非常有效的对比，可以看出它们之间的差异。(Voiceless and voiced simulation laboratory generated by simulation generated Voicing the spectrum, very effective contrast, you can see the difference between them. )

MATLAB环境下，OFDM信道估计算法的仿真程序(MATLAB environment, OFDM channel estimation algorithm for the simulation program)

均匀圆阵部分阵元失效情况下的DOA估计方法(Part of uniform circular array element failure in case of DOA Estimation)

前N条最短路算法,MATLAB版本，供参考(Former N shortest path algorithm article, MATLAB version for reference)

说明：  Reed Muller的编码解码和仿真代码，有完整的注释(The coding and decoding codes of Reed Muller coding method. Also simulation is added.)

图论中最短路径算法Dijkstra算法实现，很有用的(Shortest path algorithm Dijkstra algorithm in graph theory, useful)

Parameter identification for a single-degree-of-freedom system using autoregressive moving average model: Application to cutting system