ex01

对图像进行锐化滤波处理，去除阴影噪声，得到清晰的图像(sharpen filter)

利用MATLAB语言编写的ART2网络函数及调用的例子(ART2 neural network function using MATLAB language and call example)

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)

瞬时盲源分离 源代码 Instantaneous blind source separation(Instantaneous blind source separation)

code for carlike vehicle

matlab图像集合变化与图像增强操作以及报告 (MATLAB image collections and image enhancement operations and reporting)

供做算法研究人员参考，基于chebyshev的水声信号分析，Relief计算分类权重，相控阵天线的方向图（切比雪夫加权），基于matlab GUI界面设计。( Algorithm for researchers to do reference, Based chebyshev underwater acoustic signal analysis, Relief computing classification weight, Phased array antenna pattern (Chebyshev weights), Based on matlab GUI interface design.)

利用matlab编程实现TE TM波的推导以及包括最佳匹配层的设计还有全矢量半矢量的推导(TE TM PML)

实现语音信道编码之卷积编码的编译码仿真程序，采用的是维比特编码(Voice channel coding convolutional coding of the codec simulation program, using the bit-dimensional coding)

This code is useful for PLD measurement