Desktop

Digital Modulation and Demodulation

Visual+C++与Matlab混合编程的研究与实现(Visual+ C++ and Matlab Research and Implementation of Hybrid Programming)

WiMAX Physical layer simulator in Matlab

说明：  KSVD算法,应用于稀疏表示，发表于2006年的文章(KSVD_Algorithm)

used to remove the blur affecting the images

Clos Image With Test On Finger Picture

一种用于信道均衡的盲均衡恒模算法,具有较好的ISI和较快的收敛速度(One for channel equalization of constant modulus blind equalization algorithm, the ISI has a good and fast convergence rate)

利用ESPRIT方法求目标的角度,系统为均匀线阵，阵元间距为波长的一半(Estimate the DOA of the target)

统一设定带宽、脉宽、采样率、脉冲重复频率，用Matab产生16个脉冲的LFM，每个脉冲有4个目标（低速，静止，高速，低速），第3个目标的距离、速度与学号有关。前3个目标的幅度相同，第四个目标幅度是前三个的一半。且距离与第2个静止目标相同。 依次做如下处理： 1 脉压 2 脉压后，相邻2脉冲做MTI（即相邻2个脉冲对应相减），产生15个脉冲 3 脉压后，16个脉冲到齐后，做MTD，输出16个多普勒通道 4 对MTD结果做CFAR（恒虚警） (Unified set bandwidth, pulse width, sampling rate, pulse repetition frequency, and produces 16 pulses Matab LFM, with four goals each pulse (low-speed, static, high-speed, low speed), the first three goals of distance, speed and Student ID related. The first three goals of the same magnitude, and the fourth target range is half of the first three. And from the stationary target with the first two the same. Followed by treatment as follows: 1 pulse 2 pulse pressure, the adjacent two pulses do MTI (that is adjacent to two pulses corresponding to the subtraction), resulting in 15 pulse 3 pulse pressure, 16 pulses in attendance after doing MTD, 16 Doppler channel output 4 MTD results do CFAR (CFAR))

交流位置伺服系统因其存在参数时变、负载扰动以及电机的非线性等缺点， 很难为其建立准确的模型. 模糊（ fuzzy）控制具有无需建立被控对象的数学模型、鲁棒性好等 优点，但稳态精度差. 将模糊控制和PID 控制相结合，设计了Fuzzy-PID 双模控制器. 在论域内 用不同的控制方式分段实现控制，这样就综合了模糊控制和PID 控制的优点，克服了各自的缺 点. 该控制器结构简单、易于实现. 在半闭环交流位置伺服系统上所做的实验表明，采用Fuzzy- PID 双模控制器与采用经典PID 控制器相比，阶跃响应的调整时间减少了33. 7 ，并且无超 调，轨迹跟踪误差减小了47. 2 .(AC servo system because of the presence of parameter variations, load disturbances and non-linear motors and other shortcomings, it is difficult to establish accurate models for fuzzy (fuzzy) control without having to build a mathematical model of controlled object, robustness and good However, steady-state accuracy is poor. fuzzy control and PID control are combined to design a dual-mode Fuzzy-PID controller in the sub-region to achieve control on the different control methods, so that a combination of fuzzy control and PID control advantages to overcome their disadvantages. simply the controller structure, easy to implement. experiments on semi-closed loop AC servo system did show that the Fuzzy-PID controller is compared with the classic dual-mode PID controller, step response The adjustment time is reduced by 33.7 , and no overshoot, tracking error is reduced 47.2 .)