Learning-MATLAB---SIAM

求解非线性薛定谔方程中自相位调制SPM,其中数据可以自行设定。有注释。(nonlinear equation for SPM)

比较了基于SE，SR，SS的符号模式CMA算法，仿真表明，SS收敛速度快，但稳态误差大，SR的综合效果最好。(Comparison based on the SE, SR, SS symbolic mode CMA algorithm, simulation results show that SS convergence speed is fast, but steady-state error, the combined effect of SR.)

数学建模经典问题轮船调配问题，详细解答了各个问题，并附有轮船到达的模拟程序(Mathematical modeling of the classic problems ship deployment issues, detailed answers to each question, along with the ship arrived simulation program)

it is the good book for pll designing 《PROGRAMMABLE 3-PLL CLOCK SYNTHESIZERMULTIPLIERDIVIDER》

扩频通信，从电磁波利用来看，与一般现有的常规通信方式完全不同。扩频通信利用伪随机编码把信息数据（窄带信号）的频谱进行扩展，形成宽带的低功率谱密度信号发射，使用不同的伪随机序列编码，不同通信用户可在同一频段、同一时间工作，互不影响或干扰极小地进行通信。(Spectrum, from the electromagnetic waves used term, and the general existing conventional means of communication is entirely different. Spread spectrum communication using pseudo-random code to the information data (narrowband signal) to extend the spectrum, the formation of low-power spectral density broadband signal transmission, using different pseudo-random sequence of coding, different communication users at the same frequency band, at the same time work, mutual does not affect or interfere with a very small way to communicate.)

超外差接收机的matalab功能模块仿真，调幅中波收音机的接收頻率段为550KHz 到605KHz，中频为465KHz (The matalab specialized superheterodyne receivers function modules simulation, am medium-wave radio shows for 550 KHz to receive 605 KHz, intermediate frequency for 465 KHz )

自编的PSO算法，用于求解函数极值非常不错(Self of the PSO algorithm for solving the extreme value function is very good)

Routine for working with shp files

First use EEMD to decompose the original singal to get IMFS,then use FFT to analyse the each IMF,combine EEMD with FFT to get clearer analytic results.

说明：  读、写surfer文本的GRD格式的matlab程序，适合不需要插值的数据读写，比surfer自带的数据网格化功能处理的速度要快几十倍、甚至上百倍，可以处理大容量数据。(Reading and writing text surfer GRD format matlab program for reading and writing data without interpolation, the grid than the surfer' s own data processing capabilities several times faster, or even a hundred times, can handle large amounts of data.)