GaussianNoise_LognormalNoise

Efficient signal processing techniques are necessary for assessing the exposure to broadband magnetic fields. The use of flat-top windows along with the DFT is a simple and fast method that reduces the characteristic leakage errors and picket fence effects when using the classical DFT for the exposure assessment.

matlab 批量载入数据(matlab load data )

Bpsk simulation in matlab

Poincare Index法提取指纹中心点(Poincare Index extraction fingerprint center)

this is some script files and functions that introduce finite element method to start

说明：  一段波束形成的小程序，用matlab实现(Beamforming for some small procedures, using matlab to achieve)

matlab实现的turbo编译码仿真。是一款很好的算法实现代码(matlab implementation of the turbo codec simulation. Algorithm is a very good code)

晶闸管控制串联电阻在500kv电力系统的matlab仿真中的应用。(Modeling and simulation of 500kv power system.The theoretical ground and design realization of alternating current power lines of the new type- Controllable Flexible A.C. Transmission Systems (CFACTS) are considered. Earlier lines of such type had been known as Controlled Self- Compensating High Voltage Transmission Power Lines (CSHVL), as well as Controlled Compact Transmission Power Lines. The CFACTS design principles and the basic CFACTS design directions are implemented. The basic characteristics of CFACTS (500kV) which are studying have great prospects. CFACTS(10, 35, 110 kV) which already built and maintained. )

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)

this book review about communication using matlab code