dimension-reduction

matlab code for audio panning

用MATLAB实现卡尔曼滤波，达到对动目标的实时跟踪，程序调试无误，完美运行。(Kalman filter using MATLAB to achieve real-time tracking for moving target, program debugging and correct, perfect run.)

Fourth order runge kutta method The double chromosphere program

说明：  使用matlab制作SLM的会聚球面波相位全息图，欢迎大家借鉴(The use of MATLAB to produce SLM phase hologram of convergent spherical wave is welcomed for your reference.)

说明：  一个关于联合对角化盲源分离算法的SOBI算法，非常好！！(One on the joint diagonalization for blind source separation algorithm SOBI algorithm, very good! !)

一种在扩频领域应用十分广泛的编码序列,GOLDEN码序列的MATLAB仿真实现!(spreading in a very wide field of application of the coding sequence, GOLDEN sequences MATLAB Simulation!)

为了提高使用精度，研究了某型号MEMS陀螺仪的随机漂移模型。采用游程检验法分析了 该陀螺仪随机漂移数据的平稳性，并根据该漂移为均值非平稳、方差平稳的随机过程的结论， 采用梯度径向基（RBF）神经网络对漂移数据进行了建模。实验结果表明：相比经典RBF网络模 型而言，这种方法建立的模型能更好地描述MEMS陀螺仪的漂移特；相对于季节时间序列模型而 言，其补偿效果提高了大约15％。(In order to improve accuracy, to study a particular model of the MEMS gyroscope random drift model. Using run-length analysis of the test gyro random drift data stationarity, and in accordance with the drift for the average non-stationary, the variance of the random process a smooth conclusion, the use of gradient radial basis (RBF) neural network drift data to build mode. The experimental results show that: compared to the classical RBF network model, this method of establishing a model to better describe the MEMS gyroscope drift special compared with the seasonal time series model, the effect of their compensation increased by approximately 15.)

unctions related to image processing, including * images loading and generation. * filtering and blurring functions. * anisotropic and spacially variant filters. * non-linear filtering (median, LIC, bilateral). * High Dynamic Range image loading and equalization. * total variation image processing (denoising and decomposition). * non-wavelets image transforms such as local DCT.

simulation in a communication system

PSO算法具有快速收敛而且有很强的跳出局部最优从而找到全局最优点的能力，故可以用它来训练优化神经网络，此程序主要研究这个方面。(PSO algorithm is fast and has a strong convergence of jumping out of the local optimal thus find the most advantages of the overall capacity, it can be used to train the neural network optimization, this procedure major study this aspect.)