PeriiodicNoise

butterworth bandpass filter design

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)

基于MATLAB的雷达回波成成像与脉冲压缩程序。 (MATLAB-based radar echo imaging pulse compression program.)

说明：  含风电机组的配电网可靠性评估算法，用ARMA模型预测风速并确定风速分布(An algorithm for reliability evaluation of distribution network with wind turbines, ARMA model is used to predict wind speed and determine wind speed distribution)

MATLAB图像处理中用到的命令语句和函数语句还包括一些编程举例。(MATLAB image processing functions used in the command statement and statements also include some programming examples.)

Hysteresis Current Control in Inverter

一：多项式插值的Runge现象 二：Remez算法 三：Schmidt正交(Introduction polynomial interpolation Runge phenomenon, Remez algorithm, Schmidt orthogonal matlab algorithm)

解线性方程组的直接法，我搜集的matlab程序，希望对同学有用，希望大家学习！(Solving linear equations, direct method, I collected the matlab program, the students hope to be useful, I hope you learn!)

用MATLAB编写的读取视频图片的程序。(Using MATLAB program for reading video picture.)

用matlab演示图象的哈夫曼编解码过程(Matlab demo images used for the Huffman decoding process)