trace-packet

matlab自学的六十多个简单易学的小程序，学习完这六十多个程序之后，你的matlab水平将得到很大的提高！(matlab for learning by yourself!matlab for learning by yourself!matlab for learning by yourself!matlab for learning by yourself!)

pCA的ppt报告，PCA理论，该理论可用于降维处理，将高维数据变化 为低维数据。(ppt Report of the PCA, PCA theory, the theory can be used to deal with dimensionality reduction, high dimensional data will change for the low-dimensional data.)

共形极化阵列的波束形成。考虑了信号的极化参数，在极化域和空域联合抑制干扰。(A beamforming of a conformal polarization array. Considering the polarization parameters of the signal, the interference is suppressed jointly in the polarimetric domain and the airspace.)

LT编码的顾波分布函数及其调用函数程序，好不容易编的，很有用啊(LT codes Gu wave function is called the distribution function and its application, finally compiled, useful ah)

可以广泛的应用于数据预测及数据分析,计算晶粒的生长，入门级别程序,包含特征值与特征向量的提取、训练样本以及最后的识别。( Can be widely used in data analysis and forecast data, Calculation of growth, entry-level program grains Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.)

包括直流电机，异步电机，同步电机的各种运行状态的仿真。(Including the DC motor, asynchronous motor, synchronous motor simulation of various operating states.)

MODERN CONTROL SYSTEM THEORY AND DESIGN TOOLBOX，带有matlab仿真例子，学习控制的很有借鉴意义(MODERN CONTROL SYSTEM THEORY AND DESIGN TOOLBOX, with matlab simulation example, the study of referential significance to the control of)

使用自然梯度盲分离算法，实现对四个亚高斯信号的分离，并从分离结果可总结出盲分离算法的两个不确定性。同时给出了串音误差。(Blind separation using the natural gradient algorithm to achieve the separation of the four sub-Gaussian signals, and the separation results can be summarized from the blind separation algorithm of two uncertainty. Crosstalk error is also given.)

Digital image processing matlab problem

The subroutines glkern.f and lokern.f use an efficient and fast algorithm for automatically adaptive nonparametric regression estimation with a kernel method. Roughly speaking, the method performs a local averaging of the observations when estimating the regression function. Analogously, one can estimate derivatives of small order of the regression function.