pnm-3.01(1)

随着人类基因组计划的实施，通过基因组测序，蛋白质序列测定结构解析等实验，分子生物学家提供了大量的有关生物分子的原始数据，需要利用现代计算技术对这些原始数据进行收集、整理、管理以便于检索使用。而为了解释和理解这些数据，还需要对数据进行比对、分析，建立计算模型，进行仿真、预测与验证，因而出现生物信息学，它的出现，极大的促进了分子生物学的发展。(With the human genome project implementation, through genome sequencing, protein sequencing experiments such as structural analysis, molecular biologists to provide a large amount of biological molecules of the original data, the need to use modern technology to these raw data collection, collation and management in order to facilitate retrieval use. To explain and understand these data, and data need to be compared to analysis, model, simulation, prediction and validation, therefore, bioinformatics, and its emergence has greatly promoted the development of molecular biology.)

这是一读取信号进行FM调制，可以是CMA盲均衡算法对FM信号做处理(This is a read signal to FM modulation, and can be CMA blind equalization algorithm processing the FM signal with)

SVG matlab仿真模型 绝好的学习资料 无功补偿 谐波抑制(SVG matlab simulation model excellent learning materials reactive power compensation harmonic suppression)

说明：  对于全方位的识别和优化做了很详细的分析程序处理和样本对照(For the full identification and optimization of doing a very detailed analysis of the samples were processed and)

说明：  包括用matlab实现遗传算法的所有基本函数(Genetic algorithm（using matlab）all the basic functions)

This code can crosscorrelate seismic data togther.

MPSK simulation 1. System Parameters 2. Data Generation 3. Modulation 4. AWGN 5. Demodulation 6. Detection

本文围绕压缩感知的三个基本问题, 从结构化测量方法、结构化稀疏表示和结构化信号重构三个方面对结构化压缩感知的基本模型和关键技术进行详细的阐述.(In this paper, the basic models and key techniques of structured compressive sensing are introduced in terms of the structured measurements, the structured dictionary representation and the structured signal reconstruction, which correspond to three basic aspects of compressive sensing.)

Hurst指数是描述非函数长周期的重要指标。它有别于传统单位根检验，可以发现时间序列存在的超长周期性，可以用于判断市场风险，但运算相当繁琐，单独利用Excel计算费时又费力，作者在充分理解Hurst指数内涵和应用的基础上，利用Excel的宏语言VBA编写宏程序轻松实现Hurst指数的计算，通过这一工作也希望能使Hurst指数能够得到广泛的应用。(Hurst index is to describe the function of the long period of non-important indicator. It is different from the traditional unit root tests, time series can be found in the presence of the long periodicity, can be used to determine market risk, but the operation rather cumbersome, separate consuming and laborious calculations in Excel, the authors fully understand the meaning and application of the Hurst exponent based on the use of Excel macros written in VBA macro language easily Hurst index calculation, also hopes to make this work through the Hurst exponent can be widely used.)

十分有用的matlab参考书 主要关于图像处理方面的