ASIFT

shunt active filter

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：  本程序 包含两个函数 实现了 快速的沃尔什变换(This program contains two functions to achieve fast Walsh transform)

一个KKV标准弹道仿真程序，仿真了KKV在中段拦截TBM的弹道。供大家参考。下面还会上传其他方法仿真的程序。(KKV standard ballistic simulation program, the simulation of KKV in the middle of the TBM interception trajectory.For your reference.The following simulation program also upload other methods.)

In this code we used a fingerprint as cover and a text image as hidden image by using wdt to enhance security for sending our text.

电力线噪声模型的仿真模型，该模型还建立了其多径情况下的噪声(Power line noise model simulation model, which also established its case multipath noise)

Gaussian white noise stimulus

经过调试的svm分类程序，很好用，对初学者很有帮助。(After commissioning of the svm classification procedures, useful, useful for beginners.)

说明：  差分维数计算源代码，大家一定用得到！！！(Differential dimension calculation source code, we must use to get! ! !)

Tutorial to design JTAPI applications