Huffman

扩频因子在通信领域是我们必须要掌握的重点，本文章系统详细的阐述了扩频因子的作用，原理等，希望对大家有所帮助~(Spreading factor in the field of communication is that we must grasp the focus of this article system detailed expounds the function of spreading factor, principle and so on, hope to be of help)

数字信号处理第九章 IIR滤波器的设计 代码实现(Digital Signal Processing Chapter IX IIR filter design code)

bpsk matlab simulation

关于扩展Kalman滤波的matlab程序，共同学习共同交流(With regard to extended Kalman filter matlab program, learn together and share their)

基于matlab平台，用mallat算法对图像进行降噪处理(Based on matlab platform, with mallat algorithm for image noise reduction processing)

这个一个学习自适应滤波的好程序，里面有很多例子，可以供大家学习参考。(This a good learning process adaptive filtering, there are many examples we can learn for reference.)

用高斯赛德尔迭代法解椭圆型方程，这是一种差分解法(High Sisaideer iterative method for solving elliptic equations, which is a differential solution)

这是频域副本相关的代码，给予信号同样长度的副本，使得信号在相关后可以恢复，先是通过滤波器，然后找出信号点。(This is related to the frequency domain replica code, a copy of the same length given signal so that the signal can be restored after correlation, first through a filter, and then identify the signal points.)

EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

matlab程序滤波器,有IIR各种滤波器，可以实现低通，高通，带通，带阻等滤波器(matlab program filters, there are various IIR filters can achieve a low pass, high pass, band pass, band stop filter)