Isoclinal-interference

Fminsearch不承认的约束限制。 不过简单的转换方法存在 转换成一个绑定的约束问题 无约束问题。 Fminsearchbnd用于酷似fminsearch， 除了边界应用到变量。 应用于国内的界限，利用 改造中的变量。 （二次型 单式，双罪恶界（十）。） 具有包容性的不平等的界限，它承认 边界值本身，但不准 在所有函数之外的范围评估。 请注意，fminsearchbnd允许用户准确地固定在某个给定值通过设置一个变量的确切范围相同的值。(Fminsearch does not admit bound constraints. However simple transformation methods exist to convert a bound constrained problem into an unconstrained problem. Fminsearchbnd is used exactly like fminsearch, except that bounds are applied to the variables. The bounds are applied internally, using a transformation of the variables. (Quadratic for single bounds, sin(x) for dual bounds.) The bounds are inclusive inequalities, which admit the boundary values themselves, but will not permit ANY function evaluations outside the bounds. Note that fminsearchbnd allows the user to exactly fix a variable at some given value, by setting both bounds to the exact same value.)

对正弦信号自相关和互相关运算的实验。在进行算法模拟时首先应对一个实时数字信号处理的任务选择一种方案和多种算法，用计算机高级语言如（c、Matlab等工具)验证算法能否满足系统的性能指标；然后从多种信号处理算法中找出最佳或准最佳算法。(right sinusoidal signal autocorrelation and cross correlation of the experimental operation. Conducting simulation algorithm deal with a first real-time digital signal processing tasks to choose a variety of programs and algorithms, Senior computer language such as (c, Matlab, and other tools) verification algorithm can meet the performance indicators; Then from a variety of signal processing algorithms to find the best or potential best algorithm.)

系统辨识与自适应控制 带滤波的最小二乘递推算法(system identification. Flitering based recursive least squares algorithm)

NumPy Beginner’s Guide - Second Edition的源码（《Python数据分析基础教程，munpy学习指南（第二版）》），有助于学习numpy。(NumPy Beginner s Guide- Second Edition source code ( Python data analysis based tutorial, munpy Study Guide (Second Edition) ), contribute to learning numpy.)

主要利用经验参数对车辆发动机节气门进行仿真(The engine throttle is simulated mainly by empirical parameters)

Matlab controlled robot

soliton pulses that affected the damping. soliton pulse stability of the dispersion

蒙特卡罗方法模拟137Cs源的662keVγ射线在NaI(Tl)闪烁体中的输运过程。开发环境:MATLAB(Monte Carlo simulation of 137Cs sources 662keVγ-ray in NaI (Tl) scintillator of the transport process. Development Environment: MATLAB)

KNN是常用的一个对于大维数据分类的方法，大家可以参考下(KNN classify)

MATLAB CODE MRI This is a demo code for mri