test4

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.)

chat room with matlab first,a client and a server connect and then chat together

matlab code for fingerprint recognition

与前边的程序配套使用，模拟实现小波去噪。(And in front of the program to simulate the matching, wavelet denoising.)

Matlab阵风模型，采用Simulink模拟(Matlab Gust wind, simulink)

说明：  也在找关于这方面的资料着~~我是有matlab程序，但是在Java里没法触发调用它~~ 付上matlab程序，有需要的自己拿吧。 function BinaryIntegerProg(f_file_name, A_file_name, b_file_name, Aeq_file_name, beq_file_name,write_file_name) f = load(f_file_name) A = load(A_file_name) b = load(b_file_name) Aeq = load(Aeq_file_name) Beq = load(beq_file_name) x = bintprog(f, A, b, Aeq, beq) fp = fopen(write_file_name, w ) fprintf(fp, d\n ,x) fclose(fp)(good daima!)

智能天线MVDR算法，自适应检测DOA，达到优化性能的目的。(The smart antenna MVDR algorithm, adaptive detection DOA, to achieve the purpose of optimizing performance.)

求解赋权图中任意两点之间的最短路径及距离(solve the shortestpath problem)

有关DFA和MF-DFA的一些代码，只要你能仔细阅读的话相信总有一个适合您(Some code about DFA and MF-DFA, as long as you can read carefully, then I believe there is always a right for you)

matlab非常有用的工具箱，可对非平稳信号进行分析与处理。(matlab toolbox very useful, may be non-stationary signal analysis and processing.)