Untitled5

bmp等图像格式通过JPEG标准编码程序(JPEG ENCODER)

介绍小波分析基础，二进小波变换，规范正交小波基的构造，小波变换与滤波器组，自适应小波变换，以及小波变换的应用等等(Wavelet Analysis and Applications)

常规PID、Smith预估补偿、改进的Smith、双控制器控制和内模的Simulink仿真图(Conventional PID, Smith, forecast compensation, the improved Smith, double control and internal model controller of Simulink simulation diagram )

一个ＭＡＴＬＡＢ源函数，用来计算插值，可以选择使用线性，三次样条插值，Hermite插值等方法，希望对大家有用。(A MATLAB source function, used to calculate the interpolation, you can choose to use linear, cubic spline interpolation, Hermite interpolation, in the hope that useful.)

一个异步电机直接转矩控制系统的仿真模型。(A simulation model of direct torque control system for asynchronous motor is presented.)

Impedance Spectroscopy

TDOA matlab实现对信号的时延估计，代码量少，经过验证(TDOA matlab implementation of the signal delay estimation, less code, proven)

Car theory programming matlab (Car theory programming)

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)

未知节点可能因为没有邻居锚节点而无法定位，使用matlab进行仿真开发的定位代码(Nodes may be unknown because no neighbor anchor node can not locate matlab simulation development positioning code)