资源列表
OrthLLS2D
- 正交线性最小方差评估a x + b y + c = 0-ORTHLLS2D returns the Orthogonal Linear Least Squares estimate for parameters of line a x+ b y+ c = 0
noisynoncvx
- 不等式优化，可用于压缩感知，解决形如 min ||x||_p subject to ||y-Ax||_q<e的问题-optimization of the form min ||x||_p subject to ||y-Ax||_q<e
localization-RSSI
- 。通过对传统定位算法原理和误差来源进行分析，结合贝叶斯滤波概率模型对Euclidean定位算法进行 改进，使接收信号强度指示器随机波动得到有效的抑制。-. By traditional positioning algorithm principle and source of error analysis, probability model with Bayesian filtering algorithms to improve positioning of the Euclidean,
1
- 《Matlab与C++》这本书的第一章，包含matlab程序和C++程序-" Matlab and C++" the first chapter of this book, including the matlab program and C++ program
2
- 《Matlab与C++》这本书的第2章，包含matlab程序和C++程序-" Matlab and C++" Chapter 2 of this book, including the matlab program and C++ program
3
- 《Matlab与C++》这本书的第3章，包含matlab程序和C++程序-" Matlab and C++" Chapter 3 of this book, including the matlab program and C++ program
4
- 《Matlab与C++》这本书的第4章，包含matlab程序和C++程序-" Matlab and C++" Chapter 4 of this book, including the matlab program and C++ program
5
- 《Matlab与C++》这本书的第5章，包含matlab程序和C++程序-" Matlab and C++" Chapter 5 of this book, including the matlab program and C++ program
DOAmis
- 基于特征向量约束的波束形成算法例程，老外写的，对于多种波束形成算法的阵列增益等参数进行了详细的比较。-An beamforming example using feature vector constrain.
window-bf
- Hann,Hamming,Blackman-Harris加窗波束形成方法的波束方向图比较。-Comparing of Hann,Hamming,Blackman-Harris weighting beamforming.
mixture-Gauss-model-EM-matlab
- EM算法计算混合高斯模型，可以计算三个参数。-Gaussian mixture model EM algorithm, three parameters can be calculated.
Kasier-bf
- beta为3时，振元数为11,21,41时的kaiser加权波束方向图。-Kaiser beamforming beampartarn, when beta is 3 and the array element is 11, 21, and 41.