liesiu_v30

关于距离扩展目标-MN检测方法的matlab实现程序(Matlab on goal from the extended-MN detection method to achieve program)

Business Intelligence Certification Guide

simple code to find BER using convolutional codes

最小二乘递推算法辨识程序, 输入信号为M序列，系统辨识常用的算法(RLS identification process, the input signal for the M series, system identification algorithm used)

这个函数读取各个比特的信息处理器和操作 系统，包括： *中央处理器的名字 *时钟速度 *处理器缓存的大小（二级） *号的物理处理器核心 *操作系统名称和版本 这是由程序/处理器（系统），sysctl（苹果）或命令行工具（窗口）。 需要在r2010a或以上。(This function reads various bits of information about the CPU and operating system, including: * CPU name * CPU clock speed * CPU Cache size (L2) * Number of physical CPU cores * Operating system name & version These are provided by /proc/cpu (Unix), sysctl (Mac) or WMIC (Windows). Requires MATLAB R2010a or above.)

关于ICA的经典书籍，理论与应用兼顾，研究盲信号分离的必备参考。(ICA on the classic books, balance between theory and application, research Blind Signal Separation of essential reference.)

cuda代码，实现合成孔径雷达CSA算法，点目标仿真(c++ code that implements the algorithm of synthetic aperture radar CSA, point target simulation)

解决传统人工势场法的目标不可达缺陷，通过改进斥力函数，解决问题(To solve the traditional artificial potential field goal unreachable defect)

使用低通滤波器从含有噪声的信号中提取有用的正弦波 (见实验指导书 实验九 数字滤波器中的第一题) 目的：用数字滤波器从含有高频噪声的采样数据中提取正弦信号。 要求：①输入信号为一正弦波，并加入一个白噪声的干扰来模拟信号传输中的随机干扰信号（用以模拟含有噪声采样序列）。 （模拟含有噪声采样序列具体可用正弦波信号叠加高频噪声来实现，为了使滤波效果明显，本实验的高频噪声是用高频均匀分布白噪声（Uniform）通过Butterworth高通滤波器过滤生成的，高通滤波器的截止频率设为10倍输入信号频率。） ②在程序中设计一个低通巴特沃斯滤波器，以滤除信号中的噪声分量，提取输入的正弦波信号 。 ③可调节信号滤波器的截止频率和阶数，可显示滤波前与滤波后的时域信号。 ④给出滤波前与滤波后的频谱特性的显示。 (Using low pass filter extracting useful sine wave signal containing noise(see experiment instruction digital filter in the first nine questions)Objective: to use digital filter sampling data extract containing high frequency noise sine signal.Requirements: (1) the input signal is a sine wave, and add a white noise interference to simulate the random disturbance signal of the signal transmission (to simulate contains noise sampling sequence).(simulated the sampling sequence contains noise available sine wave signal superposition of high frequency noise, in order to make the filtering effect is obvious, the experiment of high frequency noise is Uniform distribution with high frequency white noise (Uniform) by Butterworth high-pass filter to filter generated, high-pass filter cutoff frequency set to 10 times the size of the input signal frequency.)(2) in the program design a low-pass butterworth filter, in order to filter out the noise in the signal component, extract the input sine wav)

matlab平台运行的，基于粒子群算法的回声神经网络算法，亲测可用(Matlab platform running, echo neural network algorithm based on particle swarm algorithm, pro test available.)