qhjpmlsm

用窗函数法实现了FIR数字滤波器的仿真，包括五种窗与低通，高通、带通、带阻四种类型的组和，可实现20种滤波器的设计(FIR filter design)

基于遗传算法的非线性方程的拟合，实现高拟合质量，不需要输入初值。(Fitting nonlinear equations based on genetic algorithms to achieve high quality fit, do not enter the initial value.)

matlab读取MIT/BIH数据库心电数据的matlab程序(failed to translate)

在matlab中实现ID3决策树算法--matlab源码(In the ID3 decision tree algorithm implemented in matlab- matlab source)

An matlab script that open an audio aiff file and extract the data put into a raw pcm variable.

Wigner-Ville分布相关程序及函数(Wigner-Ville distribution-related procedures and functions)

说明：  deep learning describes the process of deep learning by steps using Alex net dataset

采用matlab语言编写，相变沸腾的LBM模拟。(Using the matlab language to write, phase transition boiling LBM simulations)

蒙特·卡罗方法（Monte Carlo method），也称统计模拟方法，是二十世纪四十年代中期由于科学技术的发展和电子计算机的发明，而被提出的一种以概率统计理论为指导的一类非常重要的数值计算方法。是指使用随机数（或更常见的伪随机数）来解决很多计算问题的方法。与它对应的是确定性算法。蒙特·卡罗方法在金融工程学，宏观经济学，计算物理学（如粒子输运计算、量子热力学计算、空气动力学计算）等领域应用广泛。(The Monte Carlo method, also known as the statistical simulation method, was proposed in the mid-1940s due to the development of science and technology and the invention of electronic computers. A very important numerical calculation method for classes. Refers to the use of random numbers (or more common pseudo-random numbers) to solve many computational problems. Corresponding to it is a deterministic algorithm. The Monte Carlo method is widely used in financial engineering, macroeconomics, computational physics (such as particle transport calculation, quantum thermodynamics calculation, aerodynamic calculation).)

QPSk误码性能的仿真程序，包括AWGN信道和瑞利信道性能曲线(QPSk BER performance simulation procedures, including the AWGN channel and Rayleigh channel performance curve)