PLS_3

实现一个数字信号处理的仿真系统 。具有界面并实现以下功能：能产生（得到）并选择各种数字信号（sin、方波、三角波、语音、噪声及其叠加）；具有DFT和DCT变换功能，对各种信号进行变换；设计滤波器实现低通、高通、带通滤波，得到输出信号的频域特性和时间序列。(the realization of a digital signal processing simulation system. Requires interface and achieve the following functions: to produce (to be) and select a variety of digital signal (sin, square, triangle wave, voice, noise, and overlay)with DFT and DCT features a variety of signals transform Filter Design low pass, high pass, band pass filter, the output signal of the frequency domain to get the features and time series.)

MATLAB在工程方面编程的书籍，第三版，内容比较详细(MATLAB for Engineers )

一套很好用的基于伪谱法的极大值原理数值算法: 注意:应用此软件需要另外下载snopt,否则无法运行.(PMP solver, based on PS method, SNOPT s numerical solver for NLP is required.)

多谐差相信号算法有着很高的辨识精度； 编写了一个基于多谐差相信号的一个算法仿真程序； 结果表明其有着很高的辨识精度。(Algorithm for multi-SPHS has a high identification accuracy the preparation of a multi-SPHS based on an algorithm for simulation program results show that the accuracy of their identification with a high.)

Dan Simon, Training radial basis neural networks with the extended Kalman Filter, 2001. Article on RBF neural networks, with examples, source programs on Matlab

Data files are in Matlab format. Each file contains fan and drive end vibration data as well as motor rotational speed. For all files, the following item in the variable name indicates: DE - drive end accelerometer data FE - fan end accelerometer data BA - base accelerometer data time - time series data RPM- rpm during testing

leachm1和leachm2的生命周期对比 leachm1和leachm2的数据传输对比对比(Lifetime comparison between leachm1 and leachm2 Comparison of data transmission between leachm1 and leachm2)

一个基于矢量控制的无速度传感器MATLAB仿真模型。(Based on vector control without a speed sensor MATLAB simulation model.)

高速跳频，调制样式为DPSK(DPSK/FH)，包括信号的发射接收模型，自己写的代码，仅供参考。(High-speed frequency hopping, modulation pattern for DPSK (DPSK/FH), including the launch of signal reception model, write your own code, for reference purposes only.)

本代码是PID在S函数中的实现，但不同之处在于，本代码先把PID变成状态空间表达式，更加易懂，为本人独创。(This code is the PID in the S function, but the difference is that, this code to put the PID into the state space expressions, more understandable, for my original.)