WirelessVectorControlofInductionMotor

基于MATLAB的一阶和二阶模型辨识程序（加入1 的白噪声）仿真后得出辨识以及实际阶跃图形(MATLAB-based first-order model identification procedures (adding 1 white noise) simulation based on the identification of the actual step graphics)

Speex语音编码算法实现与优化.pdf(Speex speech coding algorithm and optimization. Pdf)

信源为数字信号信道信噪比为10dB的直扩通信系统仿真实验--LDPC编码仿真源代码(Source to a digital signal channel 10dB SNR DSSS communication system simulation- LDPC coding simulation source code)

implementation code for processing color images, adjust image brightness.

The following Matlab project contains the source code and Matlab examples used for 16 bits fixed point pid controller . This simulation illustrates the effects of the fixed-point computations on the closed-loop precision for a 16-bits PID controller. The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

用matlab编的一个计算功率谱的现成的程序，输入两个输入的序列后，可以画出两个信号的功率谱的比较(comput the power fig)

数字控制系统仿真与综合应用：设控制对象为 W1=10/s(1+0.1s)(1+0.05s),采样周期T=0.2s。 （1）采用零阶保持器，将W1(s)转换成W1(z),串接一个计算机调节模型D(z)组成一个典型的数字反馈系统。分别用仿真方法得到系统在单位阶跃输入作用下的响应和系统在单位速度输入时的输出响应。 (Digital control system simulation and comprehensive application: set control object for W1 = 10/s (1+ 0.1 s) (1+ 0.05 s), the sampling period T = 0.2 s. (1) the zero order keep device, will W1 (s) convert W1 (z), the combination of a computer adjusting model D (z) composed of a typical digital feedback system. The simulation method were used to get in the unit step input system under the action of response and system in the unit of output response speed input. )

Matlab环境下使用霍夫变换在二值图像上检测圆形的代码(Function uses Standard Hough Transform to detect circles in a binary image.)

《MATLAB/Simulink电力系统建模与仿真》是电力系统分析MATLAB/Simulink仿真全部资料，资料内容全(The MATLAB/Simulink, the modeling and simulation of power system is all power system analysis of MATLAB/Simulink simulation data, the data content)

MATLAB最优化算法中的梯度投影法，用于解决约束最优化问题。(MATLAB optimization algorithm gradient projection method for solving constrained optimization problems.)