frcg

matlab 短时傅立叶变换的实现，用于学习，采用mesh画图(Matlab short-time Fourier transform to achieve for learning, the use of mesh drawing)

本程序设计了一个最佳升余弦滚降系统，包括输入输出信号的波形、功率谱、眼图和系统误码率曲线(This procedure is designed or one of the best cosine roll-off system, including input and output signal waveform, power spectrum, eye diagram and BER curves)

Representation of a Dalvik class, which is basically a set of members (fields or methods) along with a few more pieces of information.

采用SMI算法的零陷波束形成器，有详细的注解，可更改参数(SMI algorithm using Null Beamformer, detailed comments, can change the parameters)

flux estimator in indirect field oriented control induction motor control

主要介绍16QAM调制算法，以及这个算法的简单应用(This paper mainly introduces the 16QAM modulation algorithm and its simple application.)

说明：  1. 列出简单脉冲调制信号数学模型 2. 利用MATLAB软件编写雷达信号产生程序 3. 对信号进行频谱分析 4. 记录仿真参数和结果、存储仿真波形。(1. List the mathematical model of simple pulse modulation signal. 2. Programming Radar Signal Generation Program with MATLAB Software 3. Spectrum analysis of signals 4. Record simulation parameters and results, and store simulation waveforms.)

：首先介绍了系统辨识的基本原理，简要介绍了Matlab中系统辨识 的实现方法。并结合具体的例子，显示Matlab系统辨识工具箱在系统辨 识中的强大功能和辨识快速准确等优点。(This paper introduces the basic theory of System Identification，the realization method in Matlab and presents the strong function of System Identification toolbox with the merit of fast，precision and SO 011 by an example．)

interconnect system parameter variation

Color Image Enhancement Techniques: A Critical Review Abstract Image enhancement is one of the key issues in high quality pictures such as digital camera and HDTV. Since Image clarity is very easily affected by lighting, weather, or equipment that has been used to capture the image. These conditions lead to image may suffer from loss of information. As a result, many techniques have developed known as image Enhancement techniques to recover the information in an image. This paper presents a literature review on some of the image Enhancement techniques for color image enhancement like, Contrast Stretching, Histogram Equalization and its improvement versions, Homomorphic Filtering, Retinex, and Wavelet Multiscale Transform. Comparison of all the techniques concludes the better approach for its future research