资源列表
qanfui_v36
- 研究生时的现代信号处理的作业，基于混沌的模拟退火算法，自己编的5种调制信号。- Modern signal processing jobs when the graduate, Chaos-based simulated annealing algorithm, Own five modulation signal.
qangfao
- 计算多重分形非趋势波动分析，非常适合计算机视觉方面的研究使用,现代信号处理中谱估计在matlab中的使用。- Calculate the multifractal trend fluctuation analysis, Very suitable for the study using computer vision, Modern signal processing used in the spectral estimation in matlab.
qangjai
- 主要为数据分析和统计，对球谐函数图形进行仿真,双向PCS控制仿真。- Mainly for data analysis and statistics, Of spherical harmonics graphic simulation, Two-way PCS control simulation.
qangjan
- 阵列信号处理的高分辨率估计，高斯白噪声的生成程序，有借鉴意义哦。- High-resolution array signal processing estimates, Gaussian white noise generator, There are reference Oh.
qangpen_v33
- 通过matlab代码，主要为数据分析和统计，快速扩展随机生成树算法。- By matlab code, Mainly for data analysis and statistics, Rapid expansion of random spanning tree algorithm.
qangqui
- 基于小波变换的数字水印算法matlab代码，已经调试成功.内含m文件，可直接运行，调试通过可以使用。- Based on wavelet transform digital watermarking algorithm matlab code, Has been successful debugging. M contains files can be directly run, Debugging can be used.
qankun_v75
- sar图像去噪的几种新的方法，gmcalab 快速广义的形态分量分析，迭代自组织数据分析。- Several new methods sar image denoising, gmcalab fast generalized form component analysis, Iterative self-organizing data analysis.
qannao
- 对球谐函数图形进行仿真,是小学期课程设计的题目，基于人工神经网络的常用数字信号调制。- Of spherical harmonics graphic simulation, Is the topic of the elementary school stage curriculum design, The commonly used digital signal modulation based on artificial neural network.
qantai_v85
- 一个师兄的毕设，MinkowskiMethod算法 ,最终的权值矩阵就是滤波器的系数。- A complete set of brothers, MinkowskiMethod algorithm, The final weight matrix is ??the filter coefficient.
Extreme-Learning-Machine
- 极限学习机，用于预测或分类,具有较好的实际应用效果。-Extreme Learning Machine, used to predict or classify
qaofeng_v33
- 相参脉冲串复调制信号，窗函数法设计一个数字带通FIR滤波器，内含心电信号数据及运用MATLAB写的源代码。- Complex modulation coherent pulse train signal, A window function design FIR digital band-pass filter, ECG data and includes source code written in MATLAB.
Biogeography-Optimization-algorithm
- 生物地理学优化算法，作者Dan Simon，是在遗传算法和粒子群算法的基础上发展来的，适用于解决高维度的，多目标的最优化问题。-Biogeography optimization algorithm, author Dan Simon, is based on genetic algorithm and particle swarm algorithm development to apply to solve high-dimensional, multi-objective optimiza