linearity

说明：  MATLAB是一个非常好的用于测量，分析和可视化的数据，控制仪器，并建立测试系统。安捷伦信号和频谱分析仪可让您分析失真，虚假的，相位噪声，用于2G到4G无线通信测量。这种Matlab下开发的高级数据可视化（ADV）的应用软件，扩展了安捷伦信号和频谱分析仪的可视化功能，提供了四个不同的显示格式：Analog Advanced, Analog Plus, Waterfall,和Spectrogram。这些显示使得更加容易捕获间歇性信号。(MATLAB is a very good for the measurement, analysis and visualization of data, control apparatus, and to establish test systems. Agilent signal and spectrum analyzers lets you analyze distortion, false, phase noise, for 2G to 4G wireless communication measurements. This developed under Matlab Advanced Data Visualization (ADV) of the application software, the expansion of the Agilent signal and spectrum analyzer visualization capabilities, providing four different display formats: Analog Advanced, Analog Plus, Waterfall, and Spectrogram. These shows make it easier to capture intermittent signals.)

DVCPro parser/decoder

这是关于RS编码的程序，希望能给大家带来帮助，(it is a program of encode and decode of rs to a picture)

GUI用户界面，通过输入缝宽、双缝间距、电子个数等参数，演示出电子双缝衍射的规律。要求： （1）由用户任意输入可调参数的界面； （2）根据电子双缝衍射的规律，得到不同入射电子数目时的衍射图像和动态演示动画； （4）模拟出观察屏上的电子双缝衍射的强度分布图样。 (GUI user interface by entering the slit width, double-slit spacing, number of parameters, to demonstrate the electronic double-slit diffraction law. Requirements: (1) any input by the user interface of adjustable parameters (2) According to the law of electronic double-slit diffraction, get a different number of incident electron diffraction images and dynamic animation (4) simulate the viewing screen on the electronic double-slit diffraction intensity distribution pattern.)

实现语音分离，ica算法提取不同的语音,非常实用的算法实现(Speech separation, the ica algorithm to extract different voice, a very practical algorithm)

lte mobility and lte phy-mac model program code in matlab

The paper describe Segmentation and Recognition of Handwritten Numeric Chains

Prony分析程序，给出了一个具体的例子，可作学习之用(Prony analysis procedures, is a specific example, can be used for learning)

说明：  bpsk,qpsk误码分析，基于高斯白噪声信道(Error analysis of BPSK and QPSK)

梯度寻优，二阶模型的辨识，结果很准,工业控制热工传递曲线等(Gradient optimization, second-order model identification, the result is quasi-)