Q1

kalman filter toolbox for matlab...

Local Linear ApproximationLocal Linear ApproximationLocal Linear Approximation

zero crossing feature extraction

说明：  对人脸图像库的训练素材进行主成分分析，从而识别人脸图像。较详细说明见程序内部。(Face image database on the training material for the principal component analysis to identify the face image. See more details within the program.)

关于雷达系统仿真和分析，完整代码，值得学习(On the radar system simulation and analysis, the complete code, it is worth learning)

Nelder-Mead SIMPS = Strategy Simplex Constrained minimizer, based on iterations of full-dimensional simplex calls (Nelder-Mead direct search method), each time followed by a series of two-dimensional simplex calls (local improvements by subspaces).

数字信号处理中的程序，采用music编写程序，进行谐波恢复试验(Digital signal processing procedures, the use of music programming, for harmonic retrieval test)

LiScNLS is a Matlab application for the numerical study of some nonlinear differential equations of the form Lu=Nu, using the Lyapunov-Schmidt method. Downloading the LiScNLS package creates a new LiScNLS folder on the computer.(LiScNLS is a Matlab application for the numerical study of some nonlinear differential equations of the form Lu = Nu, using the Lyapunov-Schmidt method.Downloading the LiScNLS package creates a new LiScNLS folder on the computer.)

因子分析的matlab源程序代码，可以对多远数据进行约简。(Factor analysis matlab source code, how far can the data reduction.)

蒙特·卡罗方法（Monte Carlo method），也称统计模拟方法，是二十世纪四十年代中期由于科学技术的发展和电子计算机的发明，而被提出的一种以概率统计理论为指导的一类非常重要的数值计算方法。是指使用随机数（或更常见的伪随机数）来解决很多计算问题的方法。与它对应的是确定性算法。蒙特·卡罗方法在金融工程学，宏观经济学，计算物理学（如粒子输运计算、量子热力学计算、空气动力学计算）等领域应用广泛。(The Monte Carlo method, also known as the statistical simulation method, was proposed in the mid-1940s due to the development of science and technology and the invention of electronic computers. A very important numerical calculation method for classes. Refers to the use of random numbers (or more common pseudo-random numbers) to solve many computational problems. Corresponding to it is a deterministic algorithm. The Monte Carlo method is widely used in financial engineering, macroeconomics, computational physics (such as particle transport calculation, quantum thermodynamics calculation, aerodynamic calculation).)