Doppler_Filter

Null Steering Broadside Beam former自适应波束成形，使用了干扰零陷的方法。程序注释非常详细，每句语句都对应了算法的基本原理，保证可以读懂，程序运行结果正确明了(Null Steering Broadside Beam former adaptive beam forming, the use of interference nulling method. Program notes are very detailed and end of each statement corresponds to the basic principle of the algorithm to ensure that you can read, the program runs correctly understand the results)

说明：  挠性转子的平衡原理是建立在弹性轴（梁）横向振动理论的基础上，其动平衡原理为：挠性转子在任意转速下回转时所呈现的动挠度曲线，是无穷多阶振型组成的空间曲线，其前三阶振型是主要成分，振幅较大，其他高阶振型成分振幅很小，可以忽略不计。(Flexible rotor balancing principle is based on the elastic axis (beam) on the basis of transverse vibration theory, the balancing principle is: flexible rotor turning at any speed when the deflection curve presented is composed of infinite number of vibration modes space curve, the first three modes is the main component, the larger the amplitude, the amplitude of the other components of higher modes is very small, can be ignored.)

小波变换C语言实现,包含小波变换中各种算法，可以进一步了解算法的具体过程(Wavelet Transform C Language Realization)

说明：  LDPC 编码解码 编码器 高效传输 误比特率性能(ldpc decoder coder ber)

LDPC编码程序--C语言的 能充分了解和学习该方面的技术(LDPC coding procedures C language can fully understand and learn the technical)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

反向传播神经网络的学习算法以及MATLAB实现代码(Back propagation neural network learning algorithm and MATLAB code)

用迭代解的方法来求摄影测量中的相对定向元素(Iterative solution method to find the relative orientation elements in photogrammetry )

this good documents explain how make a good compression for jpg picture

modele of floutp you can utise thise simulion ofn to gett the correct value