mto

基于AWGN信道的OFDM仿真程序，欢迎下载参考相互学习！(Based on the AWGN channel OFDM simulation program are welcome to download a reference to learn from each other!)

control SSC32 servo control

如何应用matlab画三维图以及相关的例子说明(how to use matlab to draw 3Dfigure)

Omron plc modbus protocol macro for SCU communication cards

带免疫功能的粒子群算法，在matlab环境实现。(With immune function of particle swarm optimization, in the matlab environment realize.)

the Matlab project contains the source code used for simple watermarking using wavelet transform. Performs watermarking of the input image by decomposing the image using haar wavlet. Noise generated with normal distribution is used as the key and is added to the input image to obtain the watermarked image.

电能质量闪变测试仪。此模块是用于评估当信号中有谐波时，电压闪变的程度(Power quality flicker tester.This module is used to uate when signal with harmonic, voltage flicker)

 产生长度为1000的标准正太分布的随机信号，画出时域波形及频谱；  采用u=255的非均匀PCM编码，每符号为8bit，画输入-输出关系图；  计算信号量化噪声比（SQNR）；  信道误码率为10-3；  解码，并画出u律反变换后的信号时域波形及频谱。 扩展要求：  采用均匀PCM、量化级数可变、信道误码率可变。 ( have a standard length of 1000 is too random signal distribution, draw time-domain waveform and frequency spectrum  u = 255 using the non-uniform PCM encoding, each symbol for 8bit, drawing input- output relationship diagram  calculated quantization noise signal than (SQNR)  channel bit error rate of 10-3  decoder, and law to draw u the signal after the inverse transform time-domain waveform and frequency spectrum. Expansion of the requirements:  uniform PCM, quantization level variable, a variable channel bit error rate.)

Articulo de Josh Smith, sobre como extraer imagenes embebidas en ficheros

This report considers trajectory planning with constrained dynamics and design of an appropriate feedforward controller for single axis motion control. A motivation is given for using model-based fourth order feedforward with fourth order trajectories. An algorithm is given for calculating higher order trajectories with bounds on all considered derivatives for point to point moves. It is shown that these trajectories are time-optimal in the most relevant cases. All required equations for third and fourth order trajectory planning are explicitly derived. Implementation, discretization and quantization effects are considered. Simulation results show the superior effectiveness of fourth order feedforward in comparison with rigid-body feedforward