lfm_iq

运用奇异值分解定理的PCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器,(The use of singular value decomposition theorem of PCA method in ORL face database for face recognition, nearest neighbor classifier for the classifier,)

两部传感器，相互采用CA-CFAR性能分析，并比较了不同融合准则下的性能(Two sensors each other using the CA-CFAR performance analysis, and compare the performance of different fusion criterion)

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.)

k均值算法用Matlab实现，这个不太确定(k-means algorithm using Matlab achieve, this is not so sure)

利用粒子滤波器完成故障诊断，特别是不完备的情况中故障诊断。(particle filters for the fault diagnosis, especially incomplete fault diagnosis.)

the plot of EEG power spectral values

matlab 音频处理工具箱 音频编辑 计算频谱分析(audio processing toolbox)

说明：  能实现无线传感器网络仿真中的算法要求的leach算法值得你拥有！！！！！！！！！！(leach algorithm)

实现内插数字上变频 内插 低通滤波器的子程序 整个系统的调试(Upconverting interpolation interpolated digital low-pass filter of the subroutine of the entire system debugging)

这是脉象信号的处理数据，可以得出最佳取脉压力，是很好的处理程序(This is the pulse signal processing data, we can draw the best to take the pulse pressure is a good handler)