BPSK_AWGN

heed algorithms for the wireless sensor networks

蚁群算法的MATLAB程序，提供变量初始化 C=[1304 2312 3639 1315 4177 2244 3712 1399 3488 1535 3326 1556 3238 1229 4196 1004 4312 790 4386 570 3007 1970 2562 1756 2788 1491 2381 1676 1332 695 3715 1678 3918 2179 4061 2370 3780 2212 3676 2578 4029 2838 4263 2931 3429 1908 3507 2367 3394 2643 3439 3201 2935 3240 3140 3550 2545 2357 2778 2826 2370 2975] m=31 Alpha=1 Beta=5 Rho=0.9 Q=100 NC_max=200 (Ant colony algorithm of MATLAB procedures, initialize the variable C = [1304 2312 3639 1315 4177 2244 3712 1399 3488 1535 3326 1556 3238 1229 4196 1004 4312 790 4386 570 3007 1970 2562 1756 2788 1491 2381 1676 1332 695 3715 1678 3918 2179 4061 2370 3780 2212 3676 2578 4029 2838 4263 2931 3429 1908 3507 2367 3394 2643 3439 3201 2935 3240 3140 3550 2545 2357 2778 2826 2370 2975] m = 31 Alpha = 1 Beta = 5 Rho = 0.9 Q = 100 NC_max = 200 )

matlab干涉图条纹追踪，建立了GUI界面(matlab interferegram tracing)

采用AR法模拟风速，计算时间较短，但精度相对于谐波叠加法略差(AR method using simulated wind speed, the calculation time is shorter, but the accuracy is slightly worse relative to the harmonic superposition)

- for floating point to fixed point - seperate to integer and fraction part

matlab的视频处理命令集。。。。。。。。。。。。。(matlab video processing command set. . . . . . . . . . . . .)

Solve the standard basis pursuit program using a primal-dual algorithm,The key code of GBP is provided by Justin Romberg Reference: E. Candes and J. Romberg, “l1-Magic: Recovery of Sparse Signals via Convex Programming,” 2005.

PSO algorithm for solving basic question. It combine with c1 and c2, which their sum are between 0 to 4.

fastmap 算法MATLAB实现，检索速度超快(fastmap MATLAB algorithms achieve super-fast retri )

基于实时运行条件下的39节点电力系统的可靠性的编码(Based on the reliability of real-time encoding of the operating conditions of the 39-bus power system)