RC_FILTE

感知器的算法有很多，这是我以前写的一个，希望与大家可以相互交流(gan zhi qi de suan fa you hen duo .yu da jia gong xiang )

very useful try this

教材《matlab与通信仿真》中所有例程的matlab程序包(Materials " matlab and communication simulation," in the matlab package for all routine)

介绍了一个跳频系统仿真实例，以及各个模块的功能介绍，并对于仿真结果做一详细的分析(Introduced a frequency-hopping system simulation examples, and introduce the functions of each module, and the simulation results to make a detailed analysis of)

数据分析软件。分析数据间的关系，确定分类决策等。这套软件会为你提供这方面学习的帮助。(Data analysis software. The relationship between analytical data to determine the classification of decision-making. The software will provide you with the help of learning in this regard.)

实现自适应算法，利用FIR滤波器实现的，在三维空间的有源噪声控制中有预测能力(Realize adaptive algorithm, using FIR filters realized in three-dimensional space of the Active Noise Control has predictive power)

说明：  非常好的遗传算法工具，请支持下载，支持论坛发展(A very good Genetic algorithm tool, please support download， )

this code do background subtraction subtracting all frames from first frame and show the result video and input video

介绍了数字通信中的QPSK调制解调的原理，通过用Matlab编写脚本程序对QPSK通信系统的发射和接收过程的具体实现进行模拟仿真，绘出信号在理想信道和加噪信道中模拟传输时的时域图，并对各模块进行了频谱分析，所得到的结果与理论基本相符，对于理解QPSK系统的性能并在系统的实际应用上作进一步的设计，提供了有效的参考依据(The introduction was done with the principle of the QPSK modulation and demodulation in digital communications, a script was written by using Matlab program to carry out a simulation of the QPSK communication system ,which contains the concrete realization of transmit and receive process. The time-domain diagram is drew separately when the signal transmits in the ideal channel and in the channel with noise, spectral analysis of each module is also done, the results obtained with theoretical results in the main, which provides an effective frame of reference for understanding the performance of QPSK systems, and the practical application in the system to make further designed.)

此示意程序用DWT实现二维小波变换 1.调原始图像矩阵load wbarb 2.进行二维小波分解l=wfilters( db10 , l ) 3.分解结果显示figure(1) (This indicated procedures used to achieve two-dimensional wavelet transform DWT 1. Emphasized the original image matrix load wbarb 2. For two-dimensional wavelet decomposition l = wfilters (' db10' , ' l' ) 3. Decomposition results figure (1) )