ssft-for-nls-by-matlab

ML gradient computation g = grad_ml(X,x,r) g = gradient vector X = matrix for receiver positions x = 2D position estimate r = TOA measurement vector sigma2 = noise variance vector

Example about who to make figures in MAtlab

功能描述见readme文档 包括GPS的捕获算法和数据(Function described in readme file including GPS algorithms and data capture)

matlab code for lag/lead compensater of dc motor

td-scdma瑞利信道仿真，使用成形滤波器法。(td-scdma Rayleigh channel simulation, using the shape filter.)

气象色谱波峰波谷检测，比较简单的方法，欢迎大家下载(Meteorological chromatographic peaks and valleys detection)

实现hough变换,matlb代码，图形界面(hough transform)

fingerprinting test,it is very helpful to the learner(fingerprinting test, it is very helpful to the learner)

双馈风力发电机simulink模型，可以成功运行，波形可用。(The Simulink model of the doubly fed wind generator can be successfully operated and the waveform is available.)

deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)