资源列表
pengyan
- 利用matlab写成的窄带噪声发生，解耦，恢复原信号，调试通过可以使用。- Using matlab written narrowband noise occurs, Decoupling, restore the original signal, Debugging can be used.
pen_ff30
- 对于初学matlab的同学会有帮助，ML法能够很好的估计信号的信噪比,可以实现模式识别领域的数据的分类及回归。- Matlab for beginner students will help, ML estimation method can be a good signal to noise ratio, You can achieve data classification and regression pattern recognition.
zhaokai_bishe
- 基于matlab的对于带有噪声的语音信号进行了相应的处理与分析，-Based on the matlab for the noise of the voice signal for the corresponding processing and analysis,
ph813
- 经典的灰度共生矩阵纹理计算方法，信号维数的估计，music高阶谱分析算法。- Classic GLCM texture calculation method, Signal dimension estimates, music higher order spectral analysis algorithm.
Astar
- 用于智能机器人的路径规划，A*算法，可以借鉴-path finding
pi463
- 添加噪声处理，微分方程组数值解方法，有CDF三角函数曲线/三维曲线图。- Add noise processing, Numerical solution of differential equations method, There CDF trigonometric curve/3D graphs.
physical-units-for-matlab-master
- 使操作使用数百名支持物理计量单位和物理常数。-Enables operations using hundreds of supported physical units of measurement and physical constants.
NPSO
- 基于最基本的粒子群算法提出了一种与从生物角度提出来的小生境算法相结合的小生境粒子群优化算法-Based on the most basic particle swarm algorithm, a niche particle swarm optimization algorithm is proposed based on the niche algorithm proposed the biological point of view.
palate_recognition
- 对于车牌识别方面的问题进行了自己的分析以及车牌角度矫正等细节问题进行了优化以及修正-For the license plate recognition aspects of the problem of their own analysis and license plate angle correction and other details of the problem was optimized and amended
ABC_MATLAB_web
- 基于人工蜂群算法的多方面的问题用matlab软件进行了仿真以及相关细节方面的描述和编程-Based on the artificial bee colony algorithm with a wide range of problems with matlab software simulation and related details of the descr iption and programming
piu
- 多元数据分析的主分量分析投影，能量熵的计算，包括轨道机动仿真、初轨计算。- Principal component analysis of multivariate data analysis projection, Energy entropy calculation, Including orbital maneuvering simulation, initial orbit calculation.
piu_gi80
- 仿真效果非常好，意信号卷积的运算,并且绘制图象，均值便宜跟踪的示例。- Simulation of the effect is very good, Convolution operation is intended to signal and image rendering, Example tracking mean cheap.