fresnel-and-convolution

利用独立分量分析中的FastICA算法对盲信号源进行了分离。最终通过实验结果表明，独立分量分析可以有效地实现分离。(FastICA algorithm using independent component analysis and blind source separation. Eventually through the experimental results show that the independent component analysis can be effectively separated.)

滚动轴承外圈故障频率，小波分析后包络变换，数据来源西储大学(Rolling bearing outer fault wavelet analysis)

This Matlab code implements an edge based geometric active contour model without reinitialization. MATLAB Release: R13SP1 This Matlab code implements the level set method in Chunming Li et al s paper "Level Set Evolution without Re-initialization: A New Variational Formulation", in IEEE Proc. of CVPR 2005. EVOLUTION.m: core function that performs level set evolution. Demo1.m: a demo for a real cell images Demo2.m: a demo for a synthetic noisy image Demo1_ManualBinaryInitial: demo for the same image in Demo1, allows manual initialization by the user Demo2_ManualBinaryInitial: demo for the same image in Demo2, allows manual initialization by the user

matlab软件下常用的函数与常用指令，在使用matlab时可用于查询相关函数与指令(matlab software used under the commonly used functions and commands can be used when using the matlab functions and commands relevant to a query)

给出了信号压缩通常的变换-量化-编码函数。DHT函数为离散DHT变换，是FFT变换的近似，其正反变换相同，克服了FFT复系数不利于存储的缺点。LLMAX函数给出了某x序列在固定比特下的最佳量化输出。熵编码函数为霍夫曼编码。(Gives the signal compression usually transform- quantitative- coding function. DHT DHT discrete transform function, the FFT transform approximation, the same positive and negative transformation, overcoming complex FFT coefficient is not conducive to storage shortcomings. LLMAX function x is given a fixed bit sequence in the optimum quantized output. Entropy coding function as Huffman coding.)

这本书提供了坚实的介绍卡尔曼滤波的理论和实践方面的读者。它已经更新了卡尔曼滤波，包括适应非线性滤波，更可靠的平滑方法，并在导航应用程序开发的实施和应用的最新发展。所有的软件是在MATLAB中，提供给读者的机会，发现如何卡尔曼滤波行动，并考虑实际运算需要保持结果的准确性。(This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. )

deconvolution deconvolve.m Given a system impulse response h[n] and test response y[n], this algorithm deconvolves the test response with the impulse response to determine the input x[n] as X(jw) = Y(jw)/H(jw). Eliminate some noise, but is still very rough NOTE: Assumes all signals are the same length. Use sigcorrect.m to equalize their lengths if they are different. use: deconvolve(impresp,test,testresp) variables: impresp: impulse response of system test: test input to system testresp: test response of system

some thing more for MIMO

使用案例讲解了matlab中的随机数生成，有源代码程序(Generating random Numbers)

这是一条飞行器轨道转移的程序，利用惯性原理来控制轨道(This is a spacecraft orbit transfer procedures, the use of the principle of inertia to control track)