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NMF Algorithm,which was written by myself. the sample data comes from oraldata. This Algorithm achieves the goal of image reconstructed .(NMF Algorithm, which was written by myself. Its sample data comes from oraldata. This Algorithm achieves the goal of image reconstructed.)

程序实现雅克比.戴维逊的QR分解，希望有用到的！(Program to achieve Jacobi. Davidson QR decomposition, hope to be useful!)

说明：  线性约束最小方差准则和最小方差无失真响应准则，两种用途广泛的自适应波束形成算法，可形成方向图(Linear constrained minimum variance criterion and minimum variance distortion free response criterion, two widely used adaptive beamforming algorithms, can form pattern)

This program generates a input signal and a desired signal of the idetification plant (This program generates a input signal and a desired signal of the idetification plant)

Matlab pfile for converting a binary image boundary to a 4-connected boundary.

卡尔曼滤波器完成多传感器融合算法，不同机器人的不同传感器对足球位置进行估计，融合不同传感器数据得到精确估计(Kalman filter to complete the multi-sensor fusion algorithm, the different sensors of the robot football position estimates, the integration of different sensor data accurate estimate of)

introducation to adaptive filter

matlab开发环境下的语音波形的合成与识别，非常有用的一段程序的描述(Description waveform synthesis and voice recognition matlab development environment, very useful for some programs)

radiation pattern of dipole

粒子滤波算法在非线性系统中得到了广泛的应用，其精度取决于目标概率函数和重要性函数是否相近，并且样本退化问题也影响了算法的性能。针对粒子滤波算法中样本退化的问题，本文提出一种基于奇异值分解的粒子滤波算法。该算法通过使用奇异值分解方法得到的重要性概率密度函数更接近于目标概率分布，降低样本退化的影响，提高了滤波器的精度，然后在列车组合定位系统的数学模型中应用该算法进行仿真实验。 (Particle filter algorithm for nonlinear systems is widely used, its accuracy depends on whether the target probability function and importance of the functions are similar, and sample degradation also affects the performance of the algorithm. For particle filter algorithm sample degradation problem, this paper proposes a particle filter algorithm based on singular value decomposition. The algorithm by using singular value decomposition of the importance of the probability density function method to get closer to the target probability distribution, reduce sample degradation, improve the accuracy of the filter, and then apply the algorithm in combination mathematical model train positioning system simulation experiments. The simulation )