BER_16_QAM

this is acode which is usefull for code processing

说明：  一组开发基于XILINX FPGA开发DSP算法的应用资料，具有实用性，可操作性。（3）(a group Xilinx FPGA-based DSP algorithm development of the information is useful, operability. (3))

说明：  此代码利用高斯牛顿迭代法，对非线性函数进行参数辨识。可以对传递函数通过阶跃响应实验得到的数据进行迭代获得传递函数的参数(The code uses the Gauss-Newton iteration method to identify the parameters of the non-linear function. The parameters of the transfer function can be obtained by iterating the data obtained from the step response experiment of the transfer function.)

斯坦福大学Andrew Ng讲授的机器学习课程的全程讲义及录音对应的文字资料,对许多常用机器学习算法有着深入系统的讲解。(The notes of Machine learning courses in Stanford University。)

利用马斯京根原理，根据水文气象等历史数据进行下一时段的预测。(According to Muskingum principle,the forecast of the next time can be drawn by the historical hydro-meteorological data.)

摘 要:基于研究了离散混沌系统的数值解法和图形仿真,同时针对离散时滞混沌系统给出了数值仿真 的程序.(Abstract: Based on the study of a discrete chaotic system of numerical solution and graphical simulation, while for discrete time-delay chaotic system a numerical simulation procedure.)

关于说明MATLAB中SIMULINK仿真的基本操作和流程(On SIMULINK of MATLAB simulation that the basic operations and processes)

基于BP adabooot强分类器预测，实现优化的功能(BP adabooot strong classifier based on forecasts to optimize the function)

用混沌理论和广义回归神经网络进行短期负荷的预测，取得了满意的效果(with Chaos Theory and the general regression neural network for short-term load forecasts, achieved satisfactory results)

对于抛物方程的具有差分形式的高精度线性迭代法(linear itearnating method)