trajectory

抛物线差分格式求解，包括一维古典显格式，DFF格式，CN格式，局部一维方法和预测校正格式的求解；文件中有具体的题目及解法说明并还有matlab程序供大家参考；易读易懂。 (Difference scheme for solving parabolic, including the one-dimensional classical explicit schemes, DFF format, CN format, local one-dimensional methods and predictor-corrector format to solve file specific description of the subject and method, and there are matlab program for your reference Easy to read understand.)

说明：  利用最小总错误概率准则设计检测器的程序，计算最佳门限，研究门限在一定范围内变化时，Pe随门限变化的情况，给出Pe~ 曲线，对模拟结果进行分析。程序有注释。 (Use of design guidelines for minimizing the probability of error detection procedures, calculate the best threshold of threshold changes in a certain range, Pe threshold changes with the situation, given Pe ~ curve analysis of the simulation results. Procedure notes.)

数字预失真Wiener模型的matlab实现(Digital predistortion Wiener model matlab implementation)

the newer version from HMMbox 3.2 Matlab toolbox for Variational estimation Hidden Markov Models. (Adapted from Hidden Markov Toolbox Version 3.3 01-Apr-99 and Coupled Hidden Markov Toolbox Version 1.1 01-Feb-01 Copyright (c) by Iead Rezek, Oxford University) The software uses some NETLAB routines (see http://neural-server.aston.ac.uk/netlab/index.html so you ll need to have NETLAB on your search path See the file VERSION for what s new in this version. The observation models has so far been implemented are Gaussian, Poisson and Dirichlet

设计一个信号发生器,并同时画出信号的时域表 示，自相关函数及功率谱(Design of a signal generator and simultaneously draw the time domain representation of the signal, the autocorrelation function and the power spectrum)

k-SVD 字典训练 matlab源代码，欢迎有需要的下载一起研究(k-SVD dictionary training matlab source code, welcomed the need to download the study together)

this code generates transient signal

仿真图是速度、距离、幅度三维图像，合成孔径雷达（SAR)目标成像仿真，可以广泛的应用于数据预测及数据分析。( FIG simulation speed, distance, amplitude three-dimensional image, Synthetic Aperture Radar (SAR) imaging simulation target, Can be widely used in data analysis and forecast data.)

基于Hopfield神经网络对符号进行识别。 根据符号点阵创建并训练网络，使网络达到稳定状态，用随机带噪声的符号测试训练的网络。 (Hopfield neural network based recognition of symbols. Lattice under the symbol creation and training network, the network reaches a steady state, the symbol of random noise test with the training network.)

capacity of MIMO channel in terms of varying of rx and tx