Renderingindex

Underdetermined Blind Source PSO

超分辨率DOA算法 Muisc 是一种经典的算法(Based on Muisc DOA)

内含两个程序：1.平移变换平移法(cycle_spinning)消除gibbs(吉布斯)效应 2.MATLAB中测试程序运行时间的函数.m(Includes two procedures: 1. Translational transform translation (cycle_spinning) Elimination gibbs (Gibbs) 2.MATLAB effect of test procedures to run a function of time. M)

说明：  matlab 转化为索引图像 显示近似匹配后的图像(matlab matlab matlab matlab)

This demo develops the steady-state characteristics of an induction motor First start the simulation, then Double click the <PLOTS> block to view torque-speed and current-speed curves and the current circle diagram(This demo develops the steady-state chara cteristics of an induction motor First start th e simulation, then click the Double)

Simulink中延时模块、乘积模块、常数模块、示波器模块等使用例子，可以直接运行，自己编写的。(delay module, product module, constant modules, oscilloscope module usage example in Simulink, can be directly run, written by myself)

基于QPSK或者BPSK的ofdm误码率仿真源码(The simulation of OFDM under QPSK or BPSK)

MATLAB中插值与拟和小函数，便于大家节省敲打键盘的时间 你们只要能够看懂它 并能够在合适的地方调用这些思想 并且有能力进行适当的变化 就已经到家了(MATLAB interpolation and fitting in small function, the keyboard is easy to save you time as long as you can understand it and be able to call these ideas at the right place and have the ability to make the appropriate changes has been the home of the)

圆卷积与线卷积在FIR中的实现，通过程序还开深刻理解两者间的差别和各自优劣。 1.圆卷积用在被截出的某段数据中，此时，长度应该定为和输入数据长度一致（一般输入数据大于hn的数），这时圆卷积结果相当于某段被截断出来的数据以非截断的方式经过滤波而得出的结果；线卷积用在各自独立的，离散的数据中，若截断数据也用线性卷积来计算，那么就相当与这部分数据是与源数据是独立的， 得出的结果时域两端会变长，但频谱基本上一样的。差别可以想象。 2.注意圆卷积最开始的输入数据的次序，构造矩阵时要注意。(Circular convolution with the line convolution in the FIR implementation, the program also opened a deep understanding of the difference between the two and their respective pros and cons. A circular convolution with cut out a certain period of data At this point, the length should be set for the same length as the input data (typically input data greater than hn the number), when the circular convolution is equivalent to a certain the results of the truncated data to the non-truncated filtered line convolution with a separate, discrete data, truncated data with a linear convolution calculation, then the equivalent of this part of the data is independent of the source data, the results of both ends of the time domain becomes long, but the spectrum is basically the same. The difference can imagine. Note that the order of the circular convolution of the input data to construct matrix.)

PSNR for image processing