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一些比较经典的Matlab gui界面的例子,对指导GUI编程很有意义(Some of the more classic examples of Matlab gui interface guiding meaningful GUI Programming)

仿真了FM信号产生和调制的过程，方法简单，内容详尽，已经过调试。(Simulation of the FM signal and modulation process, the method is simple, detailed, has been testing.)

UNIT STEP,RAMP,SINE,SINC

基于TMS320C32的自适应滤波程序,已调试通过.可以和低通滤波做比较 观察其优点 开发环境(adaptive filtering procedures, has been through testing. Can low-pass filter and compared the observed advantages development environment )

遗传算法源码，对遗传算法的学习改进有帮助，有例子。(Genetic algorithm source code, learning improvement of genetic algorithms to help, there are examples.)

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.)

This Matlab code was developed for skin pixel detection in general imagery.

matlab编写的矩阵束算法，可以用来求出低频振荡信号的信息(Matlab prepared by the matrix beam algorithm, can be used to determine the low-frequency oscillation signal information)

this is matlab code for bic (bayesian information criterion)

RBF训练新手上手代码 RBF训练 值得参考(RBF RBF training novice to get started training worthwhile reference code)