mocvd

验证在时域AWGN添加的SNR的数值等于在频域获得的SNR数值(Validation added in the time domain SNR value equal to access to the SNR in the frequency domain values)

基于牛顿拉夫逊法的电力系统潮流计算从c语言程序(Newton Raphson based power flow calculated from the c language program)

该书第一章系统讲述MATLAB6.5 的集成工作平台，引导读者初会MATLAB 基本用法。第二、三章系统叙述MATLAB6.1 的四大基本数据类型（数值数组、字符串数组、元胞数组、构架数组），至于其它扩展数据类型（函数句柄、符号数据、内联函数、unit 数组、稀疏类）则另辟章节专述。此后，本书用九个独立章分述MATLAB6.5 的数值计算、符号计算、函数和数据可视、面向对象编程、GUI 交互操作界面设计、EXE 独立应用程序生成、实现不同软件平台交互的API、M-book 数据图形文字环境集成等八大通用功能。本书用专门的一章深入浅出地阐明SIMULINK 的分层建模、仿真功能、与MATLAB 交互的功能。(err)

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)

通过使用平面波发计算光子晶体能带图，这个图是我自己弄的，非常辛苦。但是希望能给从事光学研究的朋友的带来帮助。(Calculating the bandgap of a photonic crystal by using a plane wave gives me a very hard picture of myself. But I hope to help those who engage in optical research.)

travel guide to bergen

本书是一本优秀的数值分析基础教程，适合作为数学、计算机、物理等专业的教材。 本书内容丰富，覆盖了数值分析的各个方面(The book is an excellent numerical analysis of basic tutorial, suitable for mathematics, computer science, physics textbooks.Book rich in content, covering various aspects of numerical analysis)

bilineal algoritmo de filtro

说明：  空间信号的波达方向（Direction of Arrival，简称DOA）估计作为阵列信号处理研究的一个主要课题，在近些年来越来越得到大量的关注和研究。它可实现对空间中信源信号的准确的角度估计，实现信源方位等参数的具体精确检测，并且还具有很高的分辨力。这些特性使得DOA估计在声呐、通信及雷达等多种领域具有广阔的应用和发展前景。此程序为面阵中二维角度估计算法程序。(direction of arrival,usually called DOA,has been an important subject recently.This program contains unitary esprit)

adaboost算法训练,tr_func_handle and te_func_handle are function handles for training and testing of a weak learner, respectively. The weak learner has to support the learning in weighted datasets. The prototypes of these functions has to be as follows.(adaboost train)