fingfou_V2.1

这是一个matlab与simulink模型交互的例子，希望对大家有帮助。(This is a matlab simulink model of interaction with the example, we want to help.)

该程序是RS编译码器的MATLAB仿真程序，里面有对程序的详细说明和解释。包括编码算法和译法算法的原理，流程以及代码实现。对掌握RS码有非常好的学习价值。()

CPM多符号检测算法调制解调，译码性能比viterbi译码还要优秀2~3dB( CPM multi-symbol detection algorithm modulation and demodulation, decoding performance even better than viterbi decoder 2 ~ 3dB)

指出了城市的主要污染物长期以来对城市居民造成了直接的危害，为更好地反映其污染变化趋势、加强污染防治工作和预防严重污染事件的发生，研究了污染预测方法，开展了污染预报工作。借助于MATLAB极强的非线性处理能力，来解决大气环境主要污染物自身复杂多变的问题，探讨了将MATLAB技术应用到空气污染的主份因子分析及预测领域中。(Pointed out that the city has long been the main pollutants of urban residents a direct harm, to better reflect its pollution trends, strengthen the prevention and control of pollution and prevention of serious pollution incidents, to study the pollution prediction method, carried out pollution forecast work. MATLAB help of strong nonlinear processing capabilities to solve complex atmospheric environment of major pollutants own issues discussed will be applied to the master copies of MATLAB technical factor analysis and forecasting in the field of air pollution.)

说明：  伪随机序列发生、分析相关性，并作出初步判断的m程序；运行后的可见图形。(The pseudo-random sequence has, the analysis relevance, and makes the preliminary judgment the m procedure After movement eye diagram.)

可以实现盲均衡算法MCMA+DD，效果较好(Blind equalization algorithm can achieve MCMA+DD, better)

双向平滑算法的研究可以有效的测量频率的频谱(matlab Double smoothing algorithm )

用Matlab实现的IIR滤波器，已经通过编译和运行(Using Matlab realize the IIR filter, has been compiled and run through)

说明：  用神经网络中的PCA算法对人脸图像进行压缩及恢复(PCA with a neural network algorithm for image compression on the face and back)

说明：  压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数(Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function)