gaussLinearEquation

NMF分解程序，非负矩阵分解程序,实现非负矩阵分解(Non Maxtrix f)

emd源程序。emd源程序。emd源程序。emd源程序。emd源程序。(display the emd functions)

Differential equations (in this case is the ordinary differential equation) means containing one, two, and even high-differential equations unknowns. Is to solve the partial differential equations, mathematical equations based. There are many special functions, are not drawn to a number of functions or functions beyond the type of analytical solution of differential equations which define them. These special functions are important because they describe the nature of certain phenomena, for example, electronic activities, drum skin vibrations, pendulum swing, and so on.

The paper describe Segmentation and Recognition of Handwritten Numeric Chains

光的干涉数学模型和MATLAB程序，内有详细的说明和解释(Interference of light mathematical model and MATLAB program, there are detailed instructions and explanations)

说明：  现代信号处理中的LMS算法和RLS算法的MATLAB仿真(Modern Signal Processing LMS algorithm and RLS algorithm MATLAB simulation)

此程序包含多普勒功率谱，瑞利衰落信道，pdf概率密度等的仿真，且能出图(This program contains a Doppler power spectrum, Rayleigh fading channel simulation, pdf probability density, and can plot)

matlab 比较实用 方便初学者学习的好资料(matlab facilitate more practical information for beginners to learn a good)

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.)

arduimu_vD (1).rar arduimu