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目标跟踪：对目标的运动建立较为简单的线性模型，并用最小二乘估计对其参量进行估计，从而推出目标轨迹。(Target-Tracking：the simulation of tracking target by linear least squares estimates on the Matlab platform.)

用HOMER软件画出的某地区一年每小时的风速，将其导出为文本格式，可导入到MATLAB中供研究人员使用(HOMER software to draw a region with a year hourly wind speed, export it to a text format that can be imported into MATLAB for researchers)

character recognition by a neural network, implementation done on matlab

说明：  根据轮式机器人速度稳定控制系统，建立速度、电流双闭环控制系统。轮式机器人的速度与电流双闭环控制系统。(According to the speed stabilization control system of wheeled robot, the speed and current double closed-loop control system is established. Double Closed Loop Control System of Speed and Current for Wheeled Robot)

差分脉冲编码调制（DPCM）的matlab模块仿真，实现抽样，量化，预测，编码并解码。(Differential pulse code modulation (DPCM) of matlab modules simulation, realize sampling, quantification, forecasting, encoding and decoding.)

matlab有限元分析与应用各种有限元单元程序(finite-element analysis )

Jafarkhani differential STBC matlab procedure, at different signal to noise ratio, the system compares the SER and BER. The use of 2-fat one admission, Rayleigh fading channel

图标编辑的源码，比较适合初学者进行分析。(Icon editor source code analysis is more suitable for beginners)

说明：  精通matlab综合辅导与指南，详细介绍了Matlab的操作与编程。(proficient Matlab comprehensive counseling and guidance, details of the operation and Matlab programming.)

　传统的信号理论，是建立在Fourier分析基础上的，而Fourier变换作为一种全局性的变化，其有一定的局限性。在实际应用中人们开始对Fourier变换进行各种改进，小波分析由此产生了。小波分析是一种新兴的数学分支，它是泛函数、Fourier分析、调和分析、数值分析的最完美的结晶；在应用领域，特别是在信号处理、图像处理、语音处理以及众多非线性科学领域，它被认为是继Fourier分析之后的又一有效的时频分析方法。 小波变换与Fourier变换相比，是一个时间和频域的局域变换因而能有效地从信号中提取信息，通过伸缩和平移等运算功能对函数或信号进行多尺度细化分析（Multiscale Analysis），解决了Fourier变换不能解决的许多困难问题。(The traditional signal theory, is based on Fourier analysis based on Fourier transform, and as a kind of global change, it has some limitations. In the actual application of Fourier transform people began to various improved, wavelet analysis produced. Wavelet analysis is a new branch of mathematics, it is functional, Fourier analysis, harmonic analysis, numerical analysis of the crystallization of the most perfect In the fields of application, especially in signal processing, image processing, audio processing as well as many nonlinear scientific fields, it is considered to be the Fourier analysis after another effective time-frequency analysis method. Wavelet transformation and Fourier transform, compared is a time and frequency domain and the local transform can effectively extract information from signal, through the telescopic peace shift etc operation function of the function ? )