juleiRBF

语音识别基于dtw算法,可以识别特定的汉字，里面有10个字的模板(speech recognition)

Conversion istruction for assembler,the are the first istruction for a programm of emulator,in particolar with the programm emu8086

此程序代码自己编写完成的，是用无网格方法的一维线性载荷杆的问题(This program code to write his complete, is to use meshless methods of dimensional linear load of the stem a problem )

维纳滤波器（Wiener filter）是由数学家维纳（Rorbert Wiener）提出的一种以最小平方为最优准则的线性滤波器。在一定的约束条件下，其输出与一给定函数（通常称为期望输出）的差的平方达到最小，通过数学运算最终可变为一个托布利兹方程的求解问题。维纳滤波器又被称为最小二乘滤波器或最小平方滤波器，目前是基本的滤波方法之一。(Wiener filter (Wiener filter) is caused by a mathematician Wiener (Rorbert Wiener) proposed guidelines for the minimum square optimal linear filter. Under certain constraints, which outputs a given function (often called the desired output) reaches the minimum squared differential, the final mathematical operation may become a problem solving Equation Leeds Taub. Wiener filter is also known as the least squares filter or least squares filter, currently one of the basic filtering methods.)

量子自组织特征映射网络聚类算法仿真程序 量子群智能优化算法(Quantum self-organizing feature map network clustering algorithm simulation program)

matlab三阶自适应推导模型，可以满足理想要求，努力多日的结果(matlab adaptive third-order model is derived to meet the ideal requirements, the results of the efforts of multi-day)

说明：  基于已知特性信道的QAM系统的仿真和性能分析(Based on the known characteristics of the QAM channel system simulation and performance analysis)

We introduce a new approach to tone management for photographs. Whereas traditional tone-mapping operators target a neutral and faithful rendition of the input image, we explore pictorial looks by controlling visual qualities such as the tonal balance and the amount of detail. Our method is based on a two-scale non-linear decomposition of an image.

the Gradient Projection Algorithm for Matlab coding

说明：  主要功能： 1.完成传感器对目标状态的kalman滤波估计； 2.对传感器的状态估计进行SCC和CI融合； 3.画出位置及速度的估计和融合误差曲线、真实航迹及融合后航迹、K=1时刻的协方差椭圆(Main functions: 1. The Kalman filter estimation of the target state is completed; 2. The state estimation of sensors is fused by SCC and CI; 3. Draw the error curve of position and velocity estimation and fusion, real track and fusion track, covariance ellipse at k = 1)