particle_m

Matlab 和 C++混合编程详细介绍了两种不同环境下共同开发程序，突出了各自的优越性(Matlab and C++ mix programming explain in detail programming between two different developing environment.)

matlab code for event driven data harvesting in wsn

根据地震记录的统计特征和相应假设，本文采用 ARMA 模型描述地震子波，基于 高阶累积量的 ARMA 模型地震子波提取方法不仅可在压制高斯色噪声的同时保留所需 地震信号的相位信息(For the cumulant based ARMA (autoregressive moving average ) model seismic wavelet extraction method could not only retain the pahse information of the seismic wavlet while eliminating the colored Gaussian noise, but also provide a parsimonious, more efficient )

粒子滤波matlab仿真程序.粒子滤波的基本思想是：首先依据系统状态向量的经验条件分布，在状态空间抽样产生一组随机样本集合，这些样本集合称为粒子；然后根据观测值不断调整粒子的权重大小和样本位置；最后通过调整后的粒子信息修正最初的的经验条件分布，估计出系统状态和参数。该算法是一种递推滤波算法，可以用来估计任意非线性非高斯随机系统的状态和参数。 粒子滤波主要有三步基本操作：采样（从不含观察值的状态空间产生新的粒子）、权值计算（根据观察值计算各个粒子的权值）、重采样（抛弃权值小的粒子，使用权值大的粒子代替），这三步构成了粒子滤波的基本算法。 SIRF(Sample Importance Resampling Filter)算法是粒子滤波的一种基本算法。(Particle filter matlab simulation program)

这是一个关于PSK和LDPC码相结合的运用程序，很有参考价值。(This is an LDPC code on the PSK and the use of a combination of procedures, a good reference.)

PID control simulation(matlab simulation for pid controller)

matlab 课程实习 第六章 答案 附源码(Chapter Answers with source matlab internship programs)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

Effective mathematical model of IPMSM with PI controller as speed controller. Good for comparison & simulation results.

数字水印DCT算法设计，可以进行优化，希望大家一起将程序优化(DCT digital watermarking algorithm designe，it can be optimized and I hope that everyone can work together to optimized it.)