Ultrasound_imaging_xianzhen

a basic operations on images using matlab

ask的相干和非相干接收，包括调制及解调过程，还有他们的误码性能比较(ask the coherent and incoherent receivers, including the modulation and demodulation process, and their BER performance comparison)

edge detection matlab code

PID控制的仿真,<<PID控制与应用>>课程的作业.SIMULINK格式(PID control of the simulation,)

这是MATLAB 的一个最新应用，相信可以为现在在写论文的朋友有一点帮助(This is one of the latest applications MATLAB, I believe can now write essays in Friend have a little help)

我自己写的小波变换，有低频系数图像，水平高频图像，垂直高频图像，希望对大家有帮助(I wrote it myself wavelet transform, there are low-frequency coefficient images, the level of high-frequency images, the vertical high-frequency images, we hope to help)

实景图像复原处理，各种方法，效果都不错，还有解释说明(Live image restoration processing, a variety of methods, the effect is pretty good)

说明：  用matlab写的印刷体数字识别程序，对matlab 6.0以上有效(Written with matlab print digital identification procedures, more effective on matlab 6.0)

说明：  2010复旦数学建模的c题的相关的matlab程序，其中elevator_model1.m为上班时间，基于正态分布人流模型下普通模式电梯的运行参数计算，elevator_down为下班时间基于指数分布人流模型下各种模式电梯的运行参数(C 2010 Fudan mathematical modeling matlab procedures related to the theme of which elevator_model1.m as working hours, normal flow model based on normal mode operation of the lift parameter calculation, elevator_down time for the work flow model based on exponential distribution models elevator operating parameters)

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. 氀椀渀最樀椀愀渀.m Part initial value, using the Monte Carlo method to calculate the total cost. The preparation of their own normal distribution random number generator to generate normally distributed random numbers. lingjian.m is the first practice of the Monte Carlo method. accyouhua calibration value the function lingjian not a function, which gives the value of a set of calibration values. Annealing to determine the calibrated value/unitanneal ()---- Simulated Annealing 吀栀攀 continuous multiple variables combinatorial optimization problems 吀栀椀猀 is an exercise of the simulated annealing method, the results show that the simulated annealing is an effective method. 圀栀攀渀 the parameter selection is better (generally accompanied by a longer running time), simulated annealing results, however using MATLAB FMIMCON () generally achieve higher accuracy.)