LMS-algorithm

说明：  基于MATLAB的电子耳蜗算法的研究进展(MATLAB-based algorithm Cochlear Implant Research)

蜂窝基站的基本数字模型，讲述了两种小区数目的仿真结果(Basic digital model of the cellular base station)

目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据, 对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。 ben文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 trajectory.m产生理论的航迹，并绘出 Kalman_filter.m 利用Kalman滤波算法，对目标的航迹进行估计 filter_result.m kalman滤波估计的结果，以及估计误差的均值和标准差曲线(target tracking application context radar data processing, radar in search of the goals and objectives of the record location data, for the measurement of target location data (known as trace points), automatic track, as well as the next target location for the moment forecast. Ben paper with a brief discussion of Kalman filtering method to a single target track forecast and using Matlab tool for experimental evaluation of effectiveness. Trajectory.m have theoretical track, and draws Kalman_filter.m using Kalman filtering algorithm, the target track estimated filter_result.m Kalman filtering results, and the estimated error of the mean and standard deviation of curve)

利用matlab写的高斯消元法和最速下降法程序(zsxjf base on matlab)

简单潮流计算：应用牛顿拉夫逊法。可以准确得到各节点电压向量大小，首末端功率，支路功率损耗(Simple flow calculation: The Newton Raphson method. Can get the exact size of the node voltage vector, the first end of the power, slip power loss)

真正接触matlab一年左右，我很喜欢上了matlab的简单的语法,易于绘制图形,gui编 程也非常容易, 并且功能强大的开放式的toolbox。 因此,尽管我一直没有这方面的应用,但是我还是对 它非常感兴趣。 现 将个人的matlab的一点学习体会列在这里,愿能够对大家(特别是初学者)起到一点儿微薄 的作用也好。 (Real contact with matlab about a year, I am in love with the matlab syntax simple, easy to draw graphics, gui programming very easy, and powerful open toolbox. Therefore, even though I have not this application, but I still very interested in it. Matlab personal point now learning experience out here, we would like to be able to (especially beginners) to play the role of a little modest 也好.)

通过matlab仿真工具仿真分析了APSK调制方式在典型的加性高斯白噪声下的传输性能(Through simulation matlab simulation tool analyzes APSK modulation in a typical additive white Gaussian noise transmission performance)

each bank has this offset apart from the 1 2 bank that is mixed into the other 3 ranges.

基于双树复小波变换的心电去噪方法研究，比较详细的资料( ECGDenoising Based on Dual Tree Complex Wavelet Transform)

说明：  当车辆通过时对车辆进行动态检测并用竖条线进行标记(When the vehicle passes through, the vehicle is dynamically detected and marked with vertical bar)