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检测从键盘输入字符。用到了fiugre的 currentcharacter 属性，figure还有一个 currentkey 属性。这两个属性都能检测键盘输入，不过还是有不小区别，可以试一下。(Detection input from the keyboard characters. Use of the fiugre' s ' currentcharacter' property, figure there is a ' currentkey' property. These two properties can be detected keyboard input, but there are still no small difference, you can try.)

PCA技术的一大好处是对数据进行降维的处理。我们可以对新求出的“主元”向量的重要性进行排序，根据需要取前面最重要的部分，将后面的维数省去，可以达到降维从而简化模型或是对数据进行压缩的效果。同时最大程度的保持了原有数据的信息。 (A major advantage of PCA technology is reduce the dimension of the data processing. We can calculate the new " principal component" vector order of importance, according to need to take the most important part of the front, eliminating the rear of the dimensions, dimension reduction can be achieved to simplify the model or the effect of data compression . At the same time maintaining the greatest degree of the original data.)

说明：  用matlab程序实现，生成谢尔宾斯基图像。(Program for using matlab to generate Sierpinski image.)

说明：  matlab源代码，是重要的地震勘探源代码，工具箱程序(matlab source code, it is important to seismic exploration source code, toolbox procedures)

communication book.based on mimo system. for LCF code

某市有一码头，每次仅容一辆船停泊装卸货，由于经常有船等候进港，部分人提出要扩建码头。经过调查历史资料发现，码头平均每月停船24艘，每艘船的停泊时间为24±20小时，相邻两艘船的到达时间间隔为30±15小时，如果一艘船因有船在港而等候1小时，其消耗成本为1000元。经预算，扩建码头大约需要1350万元，故市长决策如下：如果未来五年内停泊船只因等候的成本消耗总和超过扩建码头花费则扩建码头，否则，不予扩建。因此，希望你能够帮助市长做出决策。此问题已知到达的大概时间和大概停泊时间，对于此问题用概率统计的方法来做比较复杂，可用程序随机产生到达时间和停泊时间来模拟未来五年内船的停泊，多次模拟预测停泊情况，以做出决策(。-Problem in a city with a terminal expansion dock, each only allow a boat moored loading and unloading, as often there are waiting boat into port, some people proposed to expand pier. Terminal stopping 24 per month, per vessel berthing time of 24 ± 20 hours, the arrival of two adjacent vessels interval 30 ± 15 hours, if a ship due to boat in the harbor while waiting for one hour, and its consumption cost of 1,000 yuan. The budget of about 13.5 million yuan expansion dock, so the mayor decision as follows: If a ship is moored next five years, the cost of waiting more than the sum of consumption spending is expanding marina pier extension, otherwise, not expanded.)

偏最小二乘方法的几个应用实例，对理解和掌握该方法有很大帮助(Partial Least Squares several application examples, to understand and master the methods of great help)

k-svd算法在表情识别方面的实现和实例应用，附有图片和文章。(k-svd algorithm for face recognition on the implementation and application examples, with pictures and articles.)

用matlab实现RLS滤波，最小二乘估计算法是以最小误差平方和为优化目标的。(RLS filter using matlab, least squares estimation algorithm is the smallest sum of squared errors for the optimization objectives.)

The PAPR of QAM system is plotted against Complementary cumulative distribution function