mtkl

FIR filter design with unseperable window, seperable window, frequency sampling method

IEEE papers on Renewable Energy in DEC 2014

该算法为最小均方误差滤波，对输入信号进行滤波，输出滤波后的波形和误差(The least squares algorithm, the input signal is filtered, and the filtered output waveform error)

The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-parameter classifier (CP_Classifier.m). See reference [1] for the theoretical background. Example: To create the fig 3,4 and 5 of the paper, call the routine: Blind_recognition_STBC2_simulation_results(512,4, PSK ,4) Reference: [1] V. Choqueuse, M. Marazin, L. Collin, K. Yao and G. Burel "Blind recognition of STBC: A Likelihood-based Approach", IEEE Transactions on Signal Processing (IF: 2.33), vol. 58(3), pp : 1290-1299, March 2010.

Calculates a Yagi-Uda Array

说明：  计算数据集间的Kl距离，用于评估数据间的分布一致性(calculate the the distance between two data set, uate the distribution between two data set)

Denoising Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with priori known (or estimated) noise power (variance). The fidelity term to the input image is calculated automatically so that the power of the noise is reduced.

MATLAB CODE FOR BACKGROUND SUBTRACTION USING MIXTURE OF GAUSSIANS

一个粒子滤波简单的例子。运行方法：解压之后，放到工作目录，运行PF_ex1.m(a simple example of particle filter.)

主要完成RLS自适应均衡，并且给出了与LMS算法的比较(Completed for RLS adaptive equalizer, and gives the comparison with the LMS algorithm)