xiaobo

Quadrature Amplitude Modulation (QAM）在MATLAB的仿真和应用(Simulink-based Simulation of Quadrature Amplitude Modulation (QAM)

图像复原 退化模型 连续退化模型 离散退化模型 复原的代数方法 代数复原原理 逆滤波复原 最小二乘方滤波 MATLAB 实现图像复原 维纳滤波复原 规则化滤波复原 Lucy-Richardson 复原 盲去卷积复原 图像复原的其它 MATLAB 函数 (Degradation of image restoration model continuous degradation model discrete degradation model recovery principles of algebra algebraic inverse filter to recover to recover MATLAB least squares filtering for image restoration Wiener filter to recover the rules-based filtering to recover Lucy-Richardson deconvolution to recover Blind Image Restoration to recover the other MATLAB Functions)

本压缩包包含（1、可编程控制器的编程指令2、运料小车控制模拟3、相鼠笼式异步电动机星/三角换接启动控制4、四节传送带的模拟）(This compressed package contains (1, 2 programmable controller programming instructions, material transport car control simulation 3-phase Squirrel Cage Induction Motor Star/Delta Start Control for 4 then, four belts of simulation))

说明：  基于遗传算法的TSP优化Matlab源码实现(TSP optimization based on genetic algorithm MATLAB source code implementation)

direct spread spectrum

实现M=4,8 PSK星设图 M=4的PSK系统，分别取信噪比为odB、10dB和20dB，在星座图上观察接收端接收到的信号向量。(achieve M = 4,8 PSK-based map of M = 4 PSK system, the signal-to-noise were taken odB. 10dB and 20dB, in the constellation observation receiving termination received signal vector.)

It calculates the Power Delay Profile of a multipath environment. A detailed procedure is given

内有关于监护仪的相关设计，仅供参考，不太完善请见谅(There on the monitor related design, for reference only, not perfect, please forgive me)

A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, lossy compression of audio (e.g. MP3) and images (e.g. JPEG) (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions.

MATLAB CODE FOR DELTA MODULATION TECHNIQUE FOR ANY SIGNALS