TDPCA

一种带极值扰动的简化粒子群优化算法。算法思想来自中国人，本人自己编的程序(A disturbance with extreme simplification of particle swarm optimization. Algorithm ideas come from the Chinese, I own series of programs)

压缩感知——沙威编写 压缩感知基础编程 重构的基础编程(cs compressing sensing)

自己学习matlab时做的课程试验 内容：试验报告和灰度图像的线性非线性展宽(Matlab when you learn to do the pilot courses : the test report and a linear gray-scale image nonlinear wide)

资料介绍了在matlab平台下进行语音端点检测的方法及其操作流程，端点检测使有效的语音数据得到了提取。(Information on the process of speech endpoint detection under the MATLAB platform and its operation process, the speech endpoint detection data efficiently extracted.)

matlab codes for unscented kalman fliter,can run without modification...(unscented kalman fliter for tracking moving object...)

说明：  本文分析了现有振动方法在柴油机故障诊断研究和实际应用方面存在的问题,提出了基于振动产生和传播机理的诊断研究方法,介绍了基于这种方法的活塞-缸套磨损和滑动主轴承磨损故障振动诊断机理的理论分析和试验研究结果,提出了一种新的振动诊断法。 (This paper analyzes the existing method of Diesel Engine Vibration Fault Diagnosis and problems in practical applications is proposed based on the generation and propagation mechanism vibration diagnostic methods, introduction of this method based on the piston- cylinder liner wear and sliding Zhu bearing wear Mechanism Fault Diagnosis of theoretical analysis and experimental results, a new vibration diagnostics.)

说明：  边缘检测示例+MATLAB实现边缘检测+各种算子(Edge detection example+ MATLAB+ all kinds of edge detection operator)

信号在采集和输送过程中往往会参杂着噪声和干扰，将自适应神经网络与信号处理结合起来，采用最小均方（LSM）算法设计的线性自适应滤波器将信号中的杂波成分滤除。用matlab进行仿真,证实线性自适应滤波器具有良好的滤波功能。(Signal acquisition and delivery process often mingled with the noise and interference, the adaptive neural network combined with signal processing, with a minimum mean square (LSM) linear adaptive filter algorithm designed to signal noise filter components In addition. Using matlab simulation confirms linear adaptive filter has a good filtering.)

基于欧几里得距离的聚类分析，未来线路预测,分析误差,阐述了负荷预测的应用研究。( Clustering analysis based on Euclidean distance, Future line prediction, error analysis, It describes the application of load forecasting.)

说明：  一篇很好的奇异值分解的论文 是针对数字图像的(A singular value decomposition of a good thesis for digital images)