QPSK-simulation-design

Why use C/C++ with Matlab? • Matlab can be slow • C++ can be fast – How can we integrate C++’s speed with Matlab’s convenience? Matlab’s convenience? • Goal: -Implement critical functions with (fast) C++ code, and use (slow) Matlab code for data structure management (which can be difficult/annoying in C++)

matlab manual.... we can easily open and work on tool boxes using this

本程序可以用于数据分类，图像聚类，分割，并且具有较小的边缘腐蚀。(For data classification, image clustering, segmentation)

this is a code for square detect in image using transform

bp pid 神经网络源程序，大家多指教 我是初学者(bp pid neural network program, everyone is a beginner enlighten me)

c++的各种例子，例如继承，重载，容器，迭代子，vector，多态，模版，虚函数，友元，指针，作用于等等，超级多的例子，每个例子都是用中文标识，对学习c++的朋友很有帮助。(Various examples of c++, such as inheritance, overloading, containers, iterators, vector, polymorphism, templates, virtual functions, friend, pointer, acting, etc. Super Multi example, each of the examples are used to identify Chinese for learning c++ helpful friends.)

包含所有约束优化问题中涉及的matlab源程序。包含Rosen梯度法求解约束多维函数的极值，外点罚函数法解线性等式约束，外点罚函数法解一般等式约束，内点罚函数法，混合罚函数法，混合罚函数加速法，乘子法，坐标轮换法及复合形法(Contains all the constrained optimization problem involves matlab source. Contains Rosen gradient method for solving constrained multi-dimensional function extremum, external point penalty function method for solving linear equality constraints, external point penalty function method for solving general equality constraints, interior point penalty function method, mixed penalty function method, mixed penalty function acceleration method , multiplier method, the coordinate rotation method and complex method)

压缩感知，又称压缩采样，压缩传感。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号。(Compressed sensing, also known as compressed sampling, compressed sensing. It as a new sampling theory, it is through the development signal sparse characteristics under conditions of far less than the Nyquist sampling rate, with a random sampling obtain discrete samples of the signal, and then through a perfect reconstruction of the signal of the non-linear reconstruction algorithm.)

5点差分求二维偏微分椭圆型换热问题，采用拉普拉斯变换，求解带有第一类，第二类，混合边界条件的换热问题。(5-point differential heat seeking two-dimensional elliptic partial differential problems, using the Laplace transform, solution with a first class, second class, mixed boundary conditions of heat transfer problems.)

利用线性移位寄存器的线性关系，输出一个m序列(get m sequence by the relationship of the Line Feedback Shift Register)