simulink_rtdefs

matlab编写滤波的源代码，小弟花了几天时间编写的，希望对大家有所帮助(matlab source code for the preparation of filtering, younger brother spent a few days to prepare, and I hope all of you to help)

这是基于MATLAB的FIR滤波器的设计。主要介绍啦用加窗发来设计。这是我的课程设计报告。(This is a MATLAB-based FIR filter design. The main window used to introduce you to design made. This is my report on the curriculum design.)

find the controller of the nominal plant

说明：  this code for fingerprint detection

Speex语音编码算法实现与优化.pdf(Speex speech coding algorithm and optimization. Pdf)

模糊PID调节，并且通过与普通PID调节对比得出较好的效果(Fuzzy PID control, and by contrast with the ordinary PID regulator obtained better results)

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m----- Monte Carlo method lingjian.m part the initial value, using the Monte Carlo method to calculate the total cost. The use of the preparation of their own normal distribution random number generator to produce a normal distribution of random numbers. lingjian.m yes to the first practice of the Monte Carlo method. accyouhua calibration function, and lingjian is not a function, which has given the value of a set of calibration values​ ​ . Annealing to determine the calibration value/unitanneal ()---- Simulated Annealing Combinatorial optimization problem of continuous multiple variables This is a practice of simulated annealing method, the results show that simulated annealing is an effective method. Parameter selection is better (usually accompanied by longer running time) the results of simulated annealing, however the MATLAB FMIMCON () generally achieve higher accuracy. )

该程序源代码实现了CDMA通信系统性能的仿真，用MATLAB实现了直序、跳时、跳频以及M序列，GOLD序列等的产生，及在AWGN和RAYLEIGH环境下误码率的计算(The program source code to achieve the performance of CDMA communication system simulation, using MATLAB realize the direct sequence, time hopping, frequency hopping and M sequences, GOLD sequence generation, and in the AWGN environment and RAYLEIGH BER calculation)

ReBEL is a Matlab® toolkit of functions and scripts, designed to facilitate sequential Bayesian inference (estimation) in general state space models. This software consolidates research on new methods for recursive Bayesian estimation and Kalman filtering by Rudolph van der Merwe and Eric A. Wan at the OGI School of Science & Engineering at OHSU (Oregon Health & Science University

采用卡尔曼滤波的阻尼系数的非线性估计：用于较小但未知阻尼系数，增强阻尼因子的可测性(This implementation uses lower (but unknown)damping to improve damping observability.)