paintline

MIT CBCL实验室PNAS2007代码(MIT CBCL lab PNAS2007 code)

相干源对最大似然算法测向的影响 设置了两个相干的信号，以便研究相干源对测向的影响(Coherent Sources on the maximum likelihood algorithm for measuring the impact of the establishment of two coherent signals, in order to study the coherent source of measurement to the effects of)

本文提出了一种采用六项余弦偶次幂窗三峰插值的算法来对电网谐波进行检测与分析。该算法通过分析电网信号加窗后傅里叶变换的频域表达式，利用谐波频点附近的三根离散频谱的幅值确定谐波谱线的准确位置，进而得到电网谐波的相关参数频率、幅值及相位的计算公式，最后再对其进行加权修正，从而进一步的提高检测的准确度和有效性。( this paper proposes an approach for power network harmonic detection and analysis based on six even order cosine window and triple-spectrum-line interpolation. Through analyzing the adding window signal fourier transform in the frequency domain expression, using amplitude of three discrete spectrum near the harmonic frequency point to determine the accurate position of the harmonic spectrum and get the calculation formula of related parameters of the power network harmonic such as frequency, amplitude and phase, the algorithm further enhances the accuracy and effectiveness by using weighted correction.)

基于小波分析的车牌分割定位方法 内包含完整matlab代码 word文档详细介绍 可以直接仿真 结果准确(License Plate Segmentation Based on Wavelet Analysis localization matlab code word within the document contains the full detail and accurate simulation results can be directly)

用matlab编制的机器人求逆以及求时间的程序，个人感觉很有应用借鉴价值。(using Matlab based robot inverse time and the procedures for seeking personal feeling good application reference value.)

本代码是在matlab环境下完成的数字图像的直方图均衡化(The code is in the matlab environment to complete the digital image of the histogram equalization)

this is matlab program for pi/4 qpsk modulation

This file implements the receive side of the unconventional congestion management in RDS.

Voice detection using zero crossing rate and STE

优化问题是工业设计中经常遇到的问题,许多问题最后都可以归结为优化问题. 为了解决各种各样的优化问题,人们提出了许多优化算法,比较著名的有爬山法、遗传算法神经网络算法等. (Optimization problem is often encountered in industrial design, many problems can be attributed to the last optimization problem in order to solve a variety of optimization problems, many optimization algorithms have been proposed, relatively well-known climbing method, genetic algorithm neural network algorithm.)