PSO

有限体积法求解一维欧拉方程，采用二阶MUSCL迎风格式，计算一维等熵喷管的流程，喷管扩张段有正激波。有助于理解和学习MUSCL格式()

amplitude modulation(AM) and DSB-SC source code

matlab中神经网络的介绍 很好的资源 大家的指导书(matlab neural network in the U.S. introduce a very good resource guide book)

主要介绍了一种用matlab程序进行一种双因素影响的分析，并对结果进行分析比较。(Mainly introduces a kind of matlab program for a double factors analysis, and the results are compared. )

proney 算法，研究proney算法的变化，很好的工具。(proney algorithm, study changes in proney algorithm, good tool.)

冷热电三联供在冬季时的发电量、天然气耗量、产热量、天然气流量、出口燃气温度等参数及分析计算，经典实用。(CCHP for the winter when the power generation, natural gas consumption, heat production, natural gas flow, export gas temperature and other parameters and analysis, classic and practical.)

MATLAB implementation of SPIHT (without Arithmatic coding stage). ％ Performance evaluation : this toolbox VS. SPIHT ％ Test image: lena512.raw ％ bpp SPIHT(dB) This code(dB) ％ 0.1000 29.8107 29.3202 ％ 0.2000 32.7202 32.2514 ％ 0.3000 34.5479 34.0331 ％ 0.4000 35.8422 35.4857 ％ 0.5000 36.8623 36.5939 ％ 0.6000 37.6650 37.3759 ％ 0.7000 38.2581 38.0491 ％ 0.8000 38.9390 38.7058 ％ 0.9000 39.5218 39.3437 (MATLAB implementation of SPIHT (without A rithmatic coding stage). Performance evalua% tion : this toolbox VS. SPIHT%% Test image : lena512.raw%% bpp SPIHT (dB) This code (dB)% 0. 1000 29.8107 32.7202 0.2000 29.3202% 32.2514% 0.3000 0.4000 34.5479 34.0331% 35.8422 35.485 7% 0.5000 0.6000 36.8623 36.5939% 37.6650 37.3 759% 38.0491% 0.7000 0.8000 38.2581 38.9390 38 .7058 0.9000 39.5218 39.3437%)

qpsk分别在高斯和瑞丽信道下的符号/比特误码率的仿真。程序不是很大，但挺实用。(Simulation of QPSK respectively in Gauss and Ruili channel symbols/bits error rate. Process is not very big, but very practical.)

移相全桥控制程序，带pi调节，闭环控制，基于lcl结构的拓扑结构(Phase-shifted full-bridge control program, with pi regulation, closed-loop control, structure-based topology lcl)

实现了CA-CFAR算法仿真，得到其检测门限及检测概率曲线。并使用基于蒙特卡洛仿真方法得到检测门限及检测概率曲线，与传统的CA-CFAR算法进行了比较。(CA-CFAR algorithm to achieve the simulation, its detection threshold and detection probability curve. And use the resulting Based on Monte Carlo simulation method detection threshold and detection probability curve, with the traditional CA-CFAR algorithm were compared.)