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包括随机梯度算法，相对梯度算法，DC-DC部分采用定功率单环控制，调试通过可以使用，快速扩展随机生成树算法，基于chebyshev的水声信号分析，IMC-PID是利用内模控制原理来对PID参数进行计算，有PMUSIC 校正前和校正后的比较。( Including stochastic gradient algorithm, the relative gradient algorithm, DC-DC power single-part set-loop control, Debugging can be used, Rapid expansion of random spanning tree algorithm, Based chebyshev underwater acoustic signal analysis, The IMC- PID is using the internal model control principle for PID parameters is calculated, A relatively before correction and after correction PMUSIC.)

this source code is chp6ex13 matlab

经典的香农采样定理认为,为了不失真地恢复模拟信号,采样频率应该不小于奈奎斯特频率(即模拟信号 频谱中的最高频率)的两倍.但是其中除了利用到信号是有限带宽的假设外,没利用任何的其它先验信息.采集到 的数据存在很大程度的冗余.Donoho等人提出的压缩感知方法(Compressed Sensing或Compressive Sampling, CS)充分运用了大部分信号在预知的一组基上可以稀疏表示这一先验信息,利用随机投影实现了在远低于奈奎斯 特频率的采样频率下对压缩数据的直接采集.该方法不仅为降低采样频率提供了一种新思路,也为其它科学领域 的研究提供了新的契机.该文综述性地阐述了压缩感知方法的基本原理,给出了其中的一些约束问题和估计方法, 并介绍压缩感知理论的相关问题———矩阵填充,最后讨论了其未来可能的应用前景. (According to the conventional Shannon s sampling theorem,in order to represent the analog signal,the sampling rate should not be less than twice the Nyquist sampling rate.Howev- er,this theorem only makes use of the bandwidth information.As a result,the collected data contain many redundant information.The recently proposed sampling method,compressed sens- ing or compressive sampling(CS),can collect compressed data at the sampling rate much lower than that needed in Shannon s sampling theorem by exploring the compressibility of the signal. This paper presents a review on the basic theory of CS.Some of the restrictions and recovery methods in CS are also discussed.Finally,some potential applications based on CS are presented. )

滤波器高斯噪声信道模型,信道模型的一种，matlab仿真源码(Filtered Gaussian Noise Model matlab code)

相机标定matlab源程序，包含测试图，可以为标定提供新的方法，很方便(Matlab source camera calibration, including test plans, we can provide a new calibration method, it is convenient)

一种kriging成熟的建模工具箱，通过回归函数和预测函数，来对实际的系统进行建模和预测。( a kriging toolbox to construct a APPXIMATON MODEL)

最小二乘法的matlab M文件，简单易懂，还画出了相应的图形(Least squares matlab M files, easy to understand, but also draw the corresponding graph)

this code can find face object into image

说明：  AD835的仿真模型,用matlab的工具箱，simulink搭建的(AD835 simulation model, using matlab toolbox, simulink built)

组合导航及滤波算法，组合导航及滤波算法组合导航及滤波算法(Navigation and filtering algorithms, integrated navigation and filtering algorithm and filter algorithm Navigation)