tm1_sphere_analytical

在线字典的学习算法，此方法可以对大量的特征进行学习，完整的代码。(Online dictionary learning algorithm, this method can be for a lot of the characteristics of the study, the complete code.)

说明：  该程序主要是仿真单极性码和双极性码在加性高斯白噪声信道中的理论误码率和实际误码率，并做一比较(The program is mainly simulation of single polar code and bipolar code theory in additive white gaussian noise channel bit error rate and the actual error rate, and make a comparison)

matlab 读取GLDAS提供的grib数据，提供计算实例(matlab read GLDAS provided grib data, providing examples of calculation)

MATLAB 模式识别的外文书籍,特别经典的研究生用书(Books in foreign languages MATLAB pattern recognition, especially the classic book Graduate)

经典《matlab及其在理工课程中的应用指南》电子书(Classic " matlab and its courses in the sciences and the application of Guide" e-books)

计算光纤中的材料色散和波导色散的matlab程序(Calculation of the fiber material dispersion and waveguide dispersion matlab program)

用pso算法优化神经网络程序（matlab）(Using PSO to optimize the neural network algorithm (matlab))

一种基于红外图像分层处理及动态压缩的 DDE 算法。该算法先将原始14bits 红外图像数据信息中的大动态低频背景和小动态高频细节进行分离提取，并分别对提取的细节层和背景层进行相应的灰度增强和灰度抑制处理，再调整和压缩各图层的动态范围并最终合成 8bits图 像。实验结果表明，该算法能较好地保留并突出原始红外图像中的边缘和细节信息，达到了预期设计的目标。 (put forward a DDE algorithm based on hierarchical processing and dynamic compression of infrared image． At first，this algorithm dissociates the background ( with wide dynamic and low frequency) and the detail ( with narrow dynamic and high frequency) in the data information ( 14 bits) of original infrared image，and pick up them respectively． Then，it enhances the gray of details layer and restrains the gray of background layer，and readjusts and compresses dynamic range of each layer． Finally，it composites output image ( 8 bits) ． The experimental results show that the proposed algorithm can retain detail information and edges in original infrared image and carry the purpose of design． )

基于Fisher information的优化阵列设计，使用穷举法和迭代法得到优化阵列，再基于最大似然估计研究其MSE、克拉美罗界等性能。(Fisher information based on the optimized array design, use brute-force methods and iterative methods optimize the array, and then based on the maximum likelihood estimation study the MSE performance of Cramer-Rao Bound.)

利用卡尔曼算法做出的平衡车整套程序，可以给做平衡车初学者很好的借鉴( Kalman algorithms make use of the balance of the car the entire procedure can be done to balance the car a good reference for beginners)