LinearReceivers

该源程序代码实现了如：纯ALOHA，扩展ALOHA,CSMA,ISMA等的多径通信协议通信仿真实现，程序结果给出了各个通信协议下传输数据的成功率和时间延迟。(Realize that the source code such as: pure ALOHA, the expansion of ALOHA, CSMA, ISMA and other multi-path communication protocol communication simulation realize, given the results of the proceedings of various communication protocols to transmit data under the success rate and time delay.)

本代码为计算快速汉克变换的matlab源程序。快速汉克变换为经典的数值算法，在地球物理建模中有极其重要的地位(This code for calculations quickly Hank transform matlab source. Rapid Hank transformation as a classic numerical algorithm in geophysics modeling in a very important position)

说明：  合成孔径雷达的RD算法成像程序，很有用的哦(Synthetic aperture radar imaging procedures of the RD algorithm, useful Oh)

simple microprocessor that gives the greatest common divisor of 2 (4bit) numbers

matlab程序预测，一个算例，城市供水量的预测(matlab program predicted that a numerical example, the amount of urban water supply forecast)

growcut image segmentation gui

power_VariableInductor.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_VariableInductor.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

说明：  灰色系统理论是研究解决灰色系统分析、建模、 预测、决策和控制的理论.灰色预测是对灰色系统 所做的预测.目前常用的一些预测方法（如回归分 析等），需要较大的样本.若样本较小，常造成较 大误差，使预测目标失效.灰色预测模型所需建模 信息少，运算方便，建模精度高，在各种预测领 域都有着广泛的应用，是处理小样本预测问题的 有效工具(Grey system theory is the research and solution of grey system analysis, modeling, The theory of prediction, decision - making and control At present, some commonly used prediction methods (such as regression score) If the sample size is small, it often results in a comparison Large error, so that the prediction of the target failure Less information, convenient operation, high modeling accuracy, in a variety of prediction collar Fields are widely used to deal with small sample prediction problems Effective tool)

Realtime sound acquisiton and processing using matlab

辨识所使用的数据长度保持不变，每增加一个新数据就抛掉一个老数据，使参数估计值始终只依赖于有限个新数据所提供的新消息，克服了遗忘因子法不管多老的数据都在起作用的缺点，因此该算法更能有效的克服数据饱和现象。(Identify the use of data length remain the same, every time you add a new data will throw away an old data, make the parameter estimate always depends on just co., LTD., a new data provided by the new news, overcome the forgetting factor method no matter how old data are in action shortcomings, so the algorithm can effectively overcome the more data saturation phenomenon.)