exercise_depth_solutions

Short Fourier Transform for a non periodical signal

气泡动力学仿真，可以实现不同频率及声压仿真。(Bubble dynamics simulation can be achieved at different frequencies and sound pressure simulation.)

PID control of PUMA560 robot a MATLAB code for a PID controller of 3 DOF PUMA560 robot

its an cdma transmiiter which is very easy and simple for beginners.

WiMAX Physical layer simulator in Matlab

runs a 2 ghz radar with many features

this is mimo waterpouring system.

详细描述truetime工具箱的基本原理和用法，对初学者有帮助(Truetime a detailed description of the basic principles and usage of the toolbox, to help beginners)

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

详细介绍了matlab插值与拟合方法，包括拉格朗日多项式插值、牛顿插值、分段线性插 值、Hermite 插值和三次样条插值和曲线的最小二乘拟合、多项式拟合方法、最小二乘优化所有程序均有相应的说明与应用实例(Details of the matlab interpolation and fitting methods, including Lagrange polynomial interpolation, Newton interpolation, piecewise linear interpolation Value, Hermite interpolation and cubic spline interpolation and least-squares curve fitting, polynomial fitting method, least squares optimization program has all the appropriate instructions and application examples)