STKalman

Image displayed in 16, 8, 4,2 gray levels. Image displayed in 256,128,64,32 gray levels.

说明：  16Qam在瑞利衰落下的matlab仿真，包括误码率计算以及理论分析(16Qam matlab under Rayleigh fading simulation, including calculations and theoretical analysis of bit error rate)

first code written in c++ for generating 3D tetrahedral elements inside unite cube with sphere inside it.

Support Vector Machines solution

基于BP神经网络对传感器非线性系统进行建模，用的是BP神往网络的工具箱在MATLAB 软件进行仿真！(Based on the BP neural network model of sensor nonlinear systems, with BP charmed network software MATLAB toolbox in simulation! )

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.)

简单的语法缝隙器，可以比较详尽的分析输入语句的语法成分。把想要分析的语句放到parser.in文件中，编译即可看到结果。(Simple syntax gap, you can enter a more detailed analysis of the syntax of the statement components. The statement you want to analyze into parser.in file, the compiler can see the results.)

an ideal lowpass filter

pso - pid matlab code fo control

说明：  卷积实验代码 实现多种功能 包括线性卷积和圆周卷积的动态演示(convolutional code experimental realization of a variety of functions, including linear and circular convolution of dynamic convolution demo)