MMSEpujian

pathdef is something in matlab tamala

The Bluetooth Voice model makes extensive use of frame based processing in Simulink, which can propagate large frames of samples at each execution step allowing for much faster simulation of digital systems.

数学方法是部分子空间法，多机电力系统仿真及其潮流计算，用于特征降维，特征融合，相关分析等。( Mathematics is part of the subspace, Multi-machine power system simulation and flow calculation, For feature reduction, feature fusion, correlation analysis.)

自适应滤波算法是自适应滤波器实现过程中较为重要的环节,数字信号处理器的出现为数字信号处理算法的 实现和大规模数据的实时处理提供了可能。通过对自适应最小均方算法(LMS) 及其各种改进算法的Matlab 仿真,进行分 析及归纳比较,得出结论,并在此基础上,提出算法的优化方案,以DSP 为平台,用汇编语言对自适应算法进行了描述,最终 以DSP 为平台完成了自适应滤波器的设计。(Adaptive filtering algorithm is an adaptive filter process is more important part of the emergence of digital signal processor for digital signal processing algorithm implementation and large-scale real-time data processing possible. The adaptive least mean square (LMS) algorithm and its various improved Matlab simulation, we analyze the comparison, draw conclusions, and on this basis, the proposed algorithm optimization program to DSP platform, with the assembly Language of the adaptive algorithm is described, the final completion of DSP-platform for adaptive filter design.)

说明：  一种改进的时钟定时抖动估计方法An improved estimation of clock timing jitter(An improved estimation of clock timing jitter)

本书籍介绍如何进行编辑MATLAB的界面 比较易懂很容易接受(This book explains how to edit the MATLAB interface is easy to understand and very acceptable)

一个自己用的谱聚类算法函数，输入距离矩阵和聚类数，输出类别(Spectral Clustering Method)

关于使用pMatlab的要点及性能提高报告(PMatlab points on the use and performance report)

MATLAB6.0数学手册.rar, 学习matlab的上好资料(coefficients Mathematics Handbook. Rar, learning the quintessential information Matlab)

本程序介绍了卡尔曼滤波器在雷达跟踪问题上的应用。通过对雷达测得的距离及方位角参数的估计和预测，较好地实现了雷达对目标的跟踪，说明卡尔曼滤波器在自主或协助导航领域中具有重要的现实意义。(This procedure describes the radar tracking Kalman filter in question on the application. Measured by radar distance and azimuth parameter estimation and forecasting, to better achieve the target tracking radar, indicating the Kalman filter in autonomous or assisted navigation has important practical significance.)