Koch

mimo cod in matlab for channel estimation

刘金琨老师书上的滑模matlab模型程序，很具有代表性的例子,适合大家学习滑模控制。(Liu Jinkun teacher book sliding mode matlab model program, it is a typical example.)

快速自适应波束形成算法，CDMA，基于强干扰源(fask adaptive beamforming CDMA based on strong inteferer.)

说明：  数字信号处理的一些MATLAB源程序，均已经通过编译、仿真，请放心下载使用。(digital signal processing some of MATLAB source, we have already passed compiler, simulation, Please be assured download for use.)

boost converter open loop

matlab GUI 图文框实例，画图、颜色控制，下拉菜单等(matlab GUI frame instance, drawing, color control, pull-down menus, etc.)

matlab编写的kmeans均值聚类程序。可以分多类！！(matlab prepared the kmeans mean clustering program. Division multiple class! !)

一个身体部位比较模型的新方法网络（BAN）的，可以容纳多个环节和多个科目。所述的绝对测量允许跨频谱可能刻画的比较 从单参数为整个合奏，通过基于参数化到每个活动，每个学科和每个环节模型。使用错误，并明确之间权衡复杂性，在一个善良的适应措施相结合，显示有重要的影响时，适用于一系列典型的禁止通道数据。它是有不同的 在模式的选择的影响，以及它相关的复杂性，混合活动的“日常”的数据，设置活动相比，动态数据（例如步行）。平均路径损耗的不足，甚至位数的路径损失的措施，作为唯一的表征还强调“禁止通道。 (A new approach to compare models for body area networks (BAN) that accommodates multiple links and multiple subjects is presented. The absolute measure described allows comparison across a spectrum of possible characterizations ranging from single-parameter for an entire ensemble, through to per-activity, per-subject and per-link based parameterized models. The use of an explicit trade-off between error and complexity, combined in a goodness-of-fit measure, is shown to have important consequences when applied to a range of typical BAN channel data. It is shown that there are different implications in choice of model, and it’s associated complexity, for mixed-activity “everyday” data, when compared with set-activity dynamic data (e.g. walking). The deficiency of mean path loss, or even median path loss measures, as a sole characterization of the BAN channel is also highlighted.)

风力操纵运动，包括风力和风力矩理论计算公式(Wind Maneuvering)

使用FFT计算正弦采样信号的幅值、频率以及相位，进而得到正弦信号方程。(FFT calculation using sampled sine signal amplitude, frequency and phase, and then get a sinusoidal signal equation.)