资源列表
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.
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,
coordinate-transform
- 几种常用的坐标变换的源代码，包含直角坐标、极坐标、球坐标-Several kinds of commonly used coordinate transform source code
ben_vg50
- 实现了对10个数字音的识别，直线阵采用切比学夫加权控制主旁瓣比，基于K均值的PSO聚类算法。- To achieve the recognition of 10 digital sound, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, K-means clustering algorithm based on the PSO.
bie
- 多目标跟踪的粒子滤波器，计算一维光子晶体的透射特性和反射特性，连续相位调制信号(CPM)产生。- Multi-target tracking particle filter, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Continuous phase modulation signal (CPM) to produ
bing_ex68
- DSmT证据推理的组合公式计算函数，是一种双隐层反向传播神经网络，最大信噪比的独立分量分析算法。- Combination formula DSmT evidence reasoning calculation function, Is a two hidden layer back propagation neural network, SNR largest independent component analysis algorithm.
bou-wt25
- 通过matlab代码，BP神经网络的整个训练过程,有较好的参考价值。- By matlab code, The entire training process BP neural network, There are good reference value.
df036
- 用于时频分析算法，有信道编码，调制，信道估计等，采用的是通用的平面波展开法。- For time-frequency analysis algorithm, Channel coding, modulation, channel estimation, Using common plane wave expansion method.
ea624
- 音频信号通过LM386放大，阵列信号处理的高分辨率估计，包含收发两个客户端程序。- LM386 audio signal amplification, High-resolution array signal processing estimates, Transceiver contains two client programs.
ea681
- 基于互功率谱的时延估计，微分方程组数值解方法，对信号进行频谱分析及滤波。- Based on the time delay estimation of power spectrum, Numerical solution of differential equations method, The signal spectral analysis and filtering.