DG-GA

this code implements a new watermarking method

Hand gesture recognition system using image processing

说明：  按照给定指标采用模拟巴特沃斯低通滤波器去逼近理想模拟低通滤波器 ，然后通过双线性变换法对模拟滤波器进行数字化，得到数字滤波器 (Indicators in accordance with a given analog Butterworth low-pass filter to approximate the ideal analog low-pass filter, and then through the bilinear transformation method of digitizing analog filters, digital filters have been)

正交线性判别分析（Orthogonal Linear Discriminant Analysis），可以用于数据降维上面。(orthogonal linear discriminant analysis (Orthogonal Linear Discriminan t Analysis), can be used for cutting down the data above.)

利用频率采样设计法设计线性相位FIR低通滤波器，画出h（n）、幅频响应、相频响应(Design of frequency sampling design method using a linear phase FIR low-pass filter, draw h (n), frequency response, phase frequency response )

此为基于MATLAB平台计算指纹图像中两点之间穿越纹线数(For fingerprint processing is calculated through the ridge)

实现多用户MU，通过两次预编码来消除用户间干扰和流间干扰，同时这种处理极大简化了接收机复杂度。(MU-MIMO 。 the first precoding ：ZF-BD the second precoding ：ZF or MMSE)

粒子滤波的Matlab仿真算法实现  一个粒子滤波Matlab算法(Matlab simulation algorithm particle filter algorithm to achieve a particle filter Matlab)

matlab code to change IR and grahy scale to RGB images

Direct sequence spread spectrum (DSSS) communication systems has been widely used in these years for its advantage of wide spectrum, low working Signal-to-Noise ratio (SNR), anti-interference, anti-multipath effect and capability of LPI and LPD. They are increasingly replacing conventional communication forms and obtaining extensively applications in modern military and commercial communication systems, for example, CDMA communication system, GPS , measuring and control system, satellite chain, identification of friend or foe and etc. Therefore, corresponding DSSS electronic counter technique becomes a big problem to solve in electronic warfare domain. DSSS electronic counter technique including blind detection, blind parameter estimation and spreading sequences estimation. For the issue of DSSS electronic counter technique of DSSS/QPSK signal damaged by strong additive white Gaussian noise (AWGN), the main research content in this dissertation as follow.