BasicPso

AODV路由算法的OPNET环境仿真实现(The AODV The OPNET simulation to achieve)

Create a Neural Network with matlab

《MATLAB统计分析与应用：40个案例分析》程序与数据(MATLAB statistical analysis and application: 40 case studies" program and data)

% 单层感知器 与、或、以及其他逻辑功能的实现 % 采用step逐步逐行运行方式，了解学习过程的细节 % 尝试重新定义程序中的T，观察感知器实现异或运算(T=1 0 1 0]的可能性。(% Implementation of Single Layer Perceptron and, or, and Other Logic Functions % Use step-by-step operation to understand the details of the learning process % Trying to redefine T in the program, observing the possibility of XOR operation (T = 1010) implemented by the perceptron.)

对不同发射天线和接收天线数目的MIMO系统的信道容量进行了仿真。(Different number of transmit and receive antennas for MIMO systems channel capacity was simulated.)

均匀圆阵下基于UCA-ESPRIT的二维DOA估计的MATLAB程序(Under the uniform circular array based on two-dimensional DOA UCA-ESPRIT estimates MATLAB program)

维纳噪声抑制，1、 实验原理是利用信号之间的相关性进行信号估计，从而将噪声滤除； 2、 辅助观测信号的噪声抑制可利用Wiener-Hopf方程 求出维纳滤波器的系数 ，式中 是 的自相关阵， 是输入信号 和滤波器输入 之间的互相关矢量； (Wiener noise suppression, 1, experiment is the use of the correlation between the signals for signal estimation, which will filter out the noise 2, the auxiliary noise suppression observed signal Wiener-Hopf equation can be obtained by Wiener filter coefficients, where is the autocorrelation matrix, is the input signal and filters the cross-correlation between the input vector )

心音信号的DCT域变换压缩编码，LLoyld最佳量化与霍夫曼编码，利用心电R波进行分帧，在不到1 左右失真度的情况下达到了6.0以上的压缩比(Heart sound signals on DCT transform coding, LLoyld optimal quantization and Huffman coding, the use of ECG R wave sub-frame, less than about 1 in the case of distortion to achieve a compression ratio of more than 6.0)

用径向基神经网络和BP网络预测的源码，径向基神经网络优于BP网络预测。(With RBF neural network and BP network prediction source, RBF neural network is better than BP network prediction.)

深空自主软件无线电，美国原版教程，NASA编写(Deep Space Software Defined Radio)