AP

该程序完成一个16电平PAM数字通信系统的仿真，并测量了它的误码率。首先产生信息符号序列，该序列被当做4个信息比特一组，将16组符号映射到16个信息幅度。检测器计算距离，输出与真正传输的信息符号序列作比较，然后将差错计数。( This procedure completes a 16 level PAM digital communication system s simulation, and has surveyed its error rate. First has the message digit sequence, this sequence is treated as a 4 information bit group, maps 16 class symbols to 16 information scopes. The detector estimated range, the output and the true transmission s message digit sequence does compares, then counts the mistake. )

说明：  Matlab源代码，EM Algorithm(EM Algorithm)

三次样条插值在Matlab上的实现。三次样条插值函数的构造与Matlab实现(Cubic and Matlab Cubic and Matlab Cubic and Matlab Cubic and Matlab Cubic and Matlab)

Synchronous Buck Converter: This switched power supply converts a 30V DC supply into a regulated 15V DC supply. The model can be used to both size the inductance L and smoothing capacitor C, as well as to design the feedback controller. By selecting between continuous, discrete and fixed-point controllers, the impact of discretization and using limited numerical precision can be explored

harris corner Detector for image mosaicing

学习和使用matlab和c语言混合编程的文件(learning and the use of Matlab and c mixed programming language documents)

通过遗传算法计算下列函数的全局最优值 y(t)=(x2(t)-5.1/(4*pi*pi).*x1(t).^2+5/pi.*x1(t)-6).^2+10.*(1-1/(8*pi)).*cos(x1(t))+10(Global calculate the following functions by genetic algorithms optimal value y(t)=(x2(t)-5.1/(4*pi*pi).*x1(t).^2+5/pi.*x1(t)-6).^2+10.*(1-1/(8*pi)).*cos(x1(t))+10)

微分方程的matlab解法，实用性较强，易于参考(Solution of differential equations matlab, practical, strong, easy reference)

在matlab中构成不同频率的调制信号，这些函数都是以fm开头，产生常数、双曲线、线性、抛物线等频率调制信号．(in Matlab, constitute a different frequency modulation signal, these functions are beginning to fm, have a constant, hyperbolic, linear, parabolic and other frequency-modulated signal.)

说明：  全文目录包括： 1、绪论 2、编程基础 3、概率论与数理统计基础 4、蒙特卡洛原理 5 粒子滤波原理 6 改进粒子滤波算法 7 粒子滤波在目标跟踪中的应用 8 粒子滤波在电池寿命估计中的应用(Full text catalog includes: 1. Introduction 2.Fundamentals of programming 3. Probability theory and basis of mathematical statistics 4. Monte Carlo principle 5 principle of particle filter 6. Improved particle filter algorithm 7. Application of particle filter in target tracking 8. Application of 8 particle filter in battery life estimation)