资源列表
SVPWM-model
- 单独的一个SVPWM模块，不是系统模型，有需要设计SVPWM的可以下载，直接使用-A single SVPWM module, is not a system model, to design the SVPWM can download, direct use of a single SVPWM module, is not a system model, have to design the SVPWM can download, use directly
yun_pa37
- 有循环检测，周期性检测，迭代自组织数据分析，课程设计时编写的matlab程序代码。- There are cycle detection, periodic testing, Iterative self-organizing data analysis, Course designed to prepare the matlab program code.
n3_toolbox
- N3分类算法，基于KNN算法提出，但邻居识别方法不同。-the classification method of N3,it is proposed based on knn methods.
ak335
- 基于小波变换的数字水印算法matlab代码，利用matlab写成的窄带噪声发生，这个有中文注释，看得明白。- Based on wavelet transform digital watermarking algorithm matlab code, Using matlab written narrowband noise occurs, The Chinese have a comment, understand it.
FFT-spectrum-analyse
- 用FFT对信号实现频谱分析 matlab源码-FFT spectrum analyse for signals,the matlab program
TLS-ESPRIT
- 总体最小二乘法的ESPRIT方法，利用该方法进行DOA估计，算法的估计精度明显好于原来的ESPRIT算法-TLS ESPRIT algorithm with better uation results than the traditonal ESPRIT
Monte-Carlo-program
- 统计模拟方法,亦称蒙特卡罗(Monte-Carlo)方法matlab源码，在仿真实验中非常实用方便-the Monte-Carlo program often used in simulation experiment,it is easy and practice
at436
- gmcalab 快速广义的形态分量分析，考虑雨衰 阴影 和多径影响，实现了对10个数字音的识别。- gmcalab fast generalized form component analysis, Consider shadow rain attenuation and multipath effects To achieve the recognition of 10 digital sound.
au648
- 有借鉴意义哦，最小均方误差等算法的MSE的计算,可以得到很精确的幅值、频率、相位估计。- There are reference Oh, Minimum mean square error MSE calculation algorithm, You can get a very accurate amplitude, frequency, phase estimation.
fuzzy-K-means
- fuzzy-K-means聚类算法源代码，常用于模糊聚类分析，算法能取得较好性能，简单有效,应用范围广-the fuzzy-K-means cluster program which can achieve good performance
Root-MUSIC
- 求根MUSIC算法，仿真中使用的阵列为均匀阵列，阵列数为8，接收信号数为2个，噪声为高斯白噪声。此算法是对经典MUSIC算法的改进，估计精确度更高-Root MUSIC algorithm with uniform leaner array with 8 micphones and 2 sources which can achieve better performance
Jocabi-iteration
- 用Matlab软件以及雅克比迭代和高斯－赛德尔迭代解方程组Ax b，分析、比较其性能。-the Jacobi iteration and gauss-seidel iterative to solve the equations Ax b,