Nonlinear_Minimization_with_Equality_Constraints

lqr倒立摆控制仿真。对于x=Ax+Bu y=Cx+du标准方程，文件qiuk中用lqr函数求解控制数组K，将K值带入fangzhen文件中（文件中已代入），得到倒立摆稳定曲线(lqr inverted pendulum simulation. For x = Ax+ Bu y = Cx+ du standard equation, file qiuk control array using lqr Solving K, the K value into fangzhen file (the file has been substituted), are stable curve inverted pendulum)

converts uncompressed .yuv files into .avi files

将MATLAB模型下的永磁同步电机矢量控制，导出C语言程序到CCS开发环境中，从而实现MATLAB和CCS对电机控制。(MATLAB model of permanent magnet synchronous motor vector control, export the C language program to the CCS development environment, enabling MATLAB and CCS motor control.)

抽样定理演示程序，能清楚看到当抽样速率大于2fs时恢复模拟信号的过程和当抽样频率小于2fs时频率混叠的过程。同时还包括频率抽样过程的演示。非常详尽。通过此演示程序，你肯定能明白抽样定理这一通信领域基本的原理！(The sampling theorem demo program, you can clearly see that when the recovery process of the analog signal sampling rate greater than 2fs and frequency aliasing when the sampling frequency is less than 2fs process. Also includes a demonstration of the frequency of the sampling process. Very detailed. Through this demonstration program, you can certainly understand sampling theorem this basic principle in the field of communication!)

此程序是利用matlab Gui进行编写的对txt的读取与保存，客观形象，是以后进行复杂编程的基础，对新学者有着较大的帮助！(This program is written using matlab Gui to read txt and preservation of the objective image, is the basis for future complex programming, the new scholars with greater help!)

信号的频谱分析函数，输入复信号，fft的长度和Fs，可以直接输出信号频谱图。(Signal spectrum analysis function, the input complex signal, fft length and Fs, can be directly output signal spectrum.)

Matlab Documents regarding the Health issues

ＣＡＰＭ模型的Matlab实现程序。用于计算最优证券组合的配置和权重。(CAPM model of Matlab procedures. Used to calculate the optimal portfolio configuration and weight.)

mfcc的matlab显示方法，可以直接运行(mfcc s showing by matlab)

原始单纯形法（大M法，无需给出初始基变量）。输入：C是n维行向量，A是m*n的系数矩阵，b是m维列向量 输出：x最优解（如果有的话），fval最优值，flag解的状态说明，interation求解时的循环次数(The original simplex method (big M method, without giving the initial basic variable). Input: C is the n-dimensional row vector, A is the coefficient matrix of m* n, b is the m-dimensional column vector Output: x the optimal solution (if any), fval optimal value, flag state solution description, interation when the number of cycles to solve)