MFSK

说明：  蒙特卡罗方法可以有效地解决复杂的工程问题，而MATLAB具有强大的数值计算功能。将二者结合使用，可以得到高效的解决问题的方法。本文阐述了该方法并通过实例验证了该方法的正确性和优越性。 (Monte Carlo method can effectively solve complex engineering problems, and MATLAB has powerful function of numerical calculation. The two in combination, can be cost-effective solution to the problem. This paper describes the methods and examples of the method to verify the correctness and superiority.)

LDPC译码仿真实验 程序代码 simulingk仿真(LDPC decoder simulation simulation code simulingk)

Root raised cosine filter implementation in matlab, with graphs of impulse and frequency response.

这是东南大学信息科学与工程学院《数字信号处理 第二版》第四章的实验，关于IIR 滤波器的( This is the School of Information Science and Engineering, " Digital Signal Processing Second Edition" Southeast University experiment of Chapter IV, on IIR filters)

VB调用Matlab制作的COM组件实现二者混合编程，本文章主要介绍在MATLAB中编写com组件，为了检验结果的正确性，在工程地质中要用到这项技能。（郑重声明：本资料是借用张赛民老师的成果，张赛民老师为第一作者，未经允许，不得用于商业用途）(VB COM component calls made to achieve both Matlab programming mix, this article focuses on com components written in MATLAB, in order to verify the correctness of the results, in engineering geology to use this skill. (Solemnly declare: This information was borrowed China teacher Zhang race results, race Min Zhang teacher as the first author, without permission, shall not be used for commercial purposes))

说明：  遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。传统上，解用二进制表示（即0和1的串），但也可以用其他表示方法。进化从完全随机个体的种群开始，之后一代一代发生。在每一代中，整个种群的适应度被评价，从当前种群中随机地选择多个个体（基于它们的适应度），通过自然选择和突变产生新的生命种群，该种群在算法的下一次迭代中成为当前种群。(Genetic algorithm (GA) is a search algorithm used to solve optimization in computational mathematics. It is one of evolutionary algorithms. Evolutionary algorithms were originally developed by borrowing phenomena in evolutionary biology, such as heredity, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a computer simulation. For an optimization problem, an abstract representation of a certain number of candidate solutions (called individuals) (called chromosomes) evolves towards a better solution. Traditionally, solutions are represented in binary (that is, strings of zeros and ones), but other representations are possible. Evolution begins with a population of completely random individuals, and it happens from generation to generation.)

说明：  使用PSO解决参数识别问题,MATLAB源代码(Solve the parameter identification problem using the PSO, MATLAB source code )

说明：  基于KALMAN滤波的MEMS陀螺仪滤波算法，陀螺仪滤波算法matlab实现(Based on KALMAN filter MEMS gyroscope filter algorithm, gyroscope filter algorithm matlab realize)

线性调频脉冲压缩雷达仿真程序.仿真程序模拟产生理想点目标的回波，并采用频域相关方法（以便利用FFT）实现脉冲压缩。(线性调频脉冲压缩雷达仿真程序)

other matlab for implement