Interpolation

在MATLAB环境下，实现对Lena图像的边缘提取，主要对比了Roberts、Prewitt、Sobel、Laplace四种算子的边缘提取的效果(In the MATLAB environment, to realize the Lena image edge extraction, mainly comparing Roberts, Prewitt, Sobel, Laplace edge detection operator of four results)

The proposed approach satisfies the integrability condition and does not need any boundary condition assumptio-ns, we have designed a stand-alone, flexible Matlab implementation that enables to evaluation the proposed approach. The experiments on real images show the approaches ability to reconstruction the surface from SFS.

Bayesian Alpha Matting

Solving Kepler s Equation Using Newton s iterative Method

这个 matlab 代码仿真了M-QAM的传输。M的取值不同，调制方式分别为4QAM，16QAM，64QAM等。传输信道为AWGN信道，能出误码率曲线(Digital Unit Impulse Discrete Harmonic Signals and their Linear Combination Harmonic Signal with Exponential Envelope. Periodic Sequence of Rectangular Impulses Mixture of Harmonic Signal and White Gaussian)

是一个关于LS算法和MSE算法的性能比较程序(About LS algorithm is an algorithm and the MSE performance comparison program)

kalman filter 一个可以运行的例子。(kalman filter )

说明：  number plate recognition

贝叶斯推断程序包，利用贝叶斯分析的方式通过少量观测数据实现可靠性分析(Bayesian Inference Package. Bayesian analysis is used as a reliable method for analyzing GLM when there are only few observations)

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.