simulation-of-OFDM-system

用c语言实现下列的数字信号处理算法 1．离散傅里叶级数合成连续周期信号 2．DIF FFT 测试程序 3．将输入数据的幅度画出图形 4．使用FFT实现快速卷积 5．使用FFT实现快速相关 6．取样混迭演示程序 (language used to achieve the following digital signal processing algorithms 1. Discrete Fourier series synthetic signal two consecutive cycles. DIF FFT three test procedures. The input data rate of 4 paint graphics. Use FFT fast convolution 5. Use FFT fast correlation 6. Aliasing sampling Demonstration Program)

光伏发电仿真程序，含有MPPT算法，仿真效率很高!(PV simulation program, with MPPT algorithm, the simulation very efficient!)

先进PID控制及MATLAB仿真程序，第er章的经过运行，全都成功(Advanced PID control and MATLAB simulation program, the first chapter after running er, all successfully)

kalman滤波程序，里面包含kalman的讲解及程序实现，对初学者比较有帮助。(a program of kalman )

用curvelet去除随机噪声。此为增强型的去除随机噪声。效果较好。(Remove the random noise using curvelet. This is the enhanced removal of random noise. Is better.)

以中等纯度的精馏塔为研究对象，考虑到不等分子溢流的影响和非理想的汽液平衡，可以得到塔顶产品轻组分含量Y与回流量L之间的传递函数为： 其中由于现场环境干扰，输出带有测量噪声是（0，1）的正态分布序列，它的方差为ɑ=0.5。由于输出中带有很大的噪声信号，故将数字滤波技术中常见的低通滤波器由于偏差控制，滤掉其中的噪声信号，然后在对其进行PID计算，得到实际的控制量。在该方法在噪声较强的环境下，可以得到较好的控制效果。 控制要求： 1、 采用带低通滤波器的增量式PID将塔顶轻组分含量控制在0.99 2、 用ISTE法整定PID参数 3、 在控制过程中，到150周期加入幅度为-20 的阶跃干扰，在第300周期干扰消失。分析PID参数的抗干扰性。 (Medium-purity distillation column, taking into account ranging from molecular overflow and non-ideal vapor-liquid equilibrium, the transfer function between the light component content of the top product Y and the back flow L can be obtained as: Because the field of environmental interference, output with the measurement noise is a normal distribution (0,1) sequence, its variance ɑ = 0.5. As with a lot of noise in the output signal, it will be common in low-pass filter in the digital filtering techniques due to the bias control, filter out the noise signal, then its PID, the actual amount of control. In the strong noise environment, you can get better control effect. Control requirements: 1, using the incremental PID with a low-pass filter to the top of the tower content of light components in the 0.99 2, the method of ISTE tuning PID parameters 3, in the control process, to 150 cycles join the range of-20 step disturbance, disappearance of interference in the first 300 c)

matlab 倒立摆PID、LQR仿真程序(matlab Handstand pendulum simulation, using PID，LQR control)

BCH coded m-DPSK BER with AWGN

在一个MIMO系统里对ZF，MF，MMSE三种不同预编码准则和滤波器进行了仿真，并比较其不同。(In a MIMO system for ZF, MF, MMSE precoding three different criteria and filter simulation, and compare its different.)

利用KNN最近邻算法，对心音信号进行分割并判断，给出第一心音、第二心音和收缩期、舒张期。(Use KNN nearest neighbor algorithm, the heart sound signal is divided and judgment is given first, second heart sound and systolic, diastolic.)