sum1_change

增量式PID控制，控制规律，MATLAB演示。(Incremental PID control, control law, MATLAB Demonstration)

工程师和科学家们面临着用更少的时间建立复杂系统模型的需求，他们使用分布式和并 行计算来解决高性能计算的问题。这些分布式的环境由多处理器和多核计算机来实现。 Mathworks公司开发的分布式计算工具箱可以在多处理器计算环境中使用 MATLAB 和imulink 解决计算、数据密集型问题。可以使用该工具箱解决通过装配多个处理器包含几个单独工作单位或单个大型计算的问题。这些处理器可以驻留在一个多处理器计算机，或者，当工具箱配合 MATLAB 分布式计算引擎时，驻留在计算机集群上。(Engineers and scientists are facing with less time to build models of complex systems needs, they use distributed and parallel computing to solve the problem of high-performance computing. The distributed environment consists of multi-processor and multi-core computer to achieve. Mathworks Distributed Computing Toolbox, developed in multi-processor computing environment MATLAB and imulink solve computing, data intensive problems. You can use the toolkit to solve multiple processors by assembling several separate work units or containing a single large-scale computing problems. These processors can reside on a multi-processor computer, or, when the toolbox with MATLAB Distributed Computing Engine, it resides on a computer cluster.)

matlab人脸识别，智能识别人脸，应用于检测识别人脸(matlab face recognition, smart face recognition, face detection and recognition applied)

《精通MATLAB6》，电子书，详细介绍了MATLAB的使用方法和应用技巧。(" Proficient MATLAB6" , e-books, described in detail the use of MATLAB and application skills.)

有关直方图均衡化原理的matlam源程序(the histogram equalization principle source of matlam)

MATLAB在工程应用中的学习指南，有代码，有详解，特别适合新人学习。(MATLAB applications in engineering study guide, there are code, explain, especially for newcomers to learn.)

说明：  加汉宁窗的低通滤波器，做出干扰信滤波前后的时域图和频谱图(Low-pass filter with Hanning window is used to make time-domain and frequency-spectrum diagrams before and after interference signal filtering.)

五种信道模型的matlab代码 【目录】：1、SUI信道 2、高斯信道 3、瑞利信道 4、COST231 5、COST207(Five-channel model matlab code 【Contents】: 1, SUI Channel 2, Channel 3, Gaussian, Rayleigh channel 4, COST231 5, COST207)

UC3854功能图，引脚图，各项参数图，以及元器件的选取。(hardware and software of UC3854)

说明：  里面有8PSK，GMSK的matlab源程序，贡献出来了(I was interested in the theory for 8PSK and came across this m-file written in 1999. It requires 2 function calls (graymapPSK and grayunmapPSK) which I have included and must be uncommented(single comments only) and loaded into your workspace. Remove the function calls from this m-file after you load into your workspace. It seems to work well and give valid results for BPSK and QPSK but I have a question about the setup for 8PSK and the solution for Pseint where Pse=Pseint. Also, the Gray coding seems different than what I m used to. Some of you more theoretical minded may have some insight into the theory behind how Pseint was determined and comment. I don t have the communications toolbox-blockset and was wondering how it compared with Matlab s example simulation of 8PSK with Gray coding (in Simulink?) Each run takes about a minute and the loop iterations are shown in the command window. A numerical example of a satellite link is shown using uncoded QPSK )