nuipun

对一幅图象进行无损一阶预测编码，采用前值预测(Non-destructive image of a first-order predictive coding, using the former value of the forecast)

CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ‘New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin- gularities’, Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ‘Fast Discrete Curvelet Transforms’, Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations diff er by the choice of spatial grid used to translate curvelets at each scale and angle.(CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ' New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin-gularities' , Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ' Fast Discrete Curvelet Transforms' , Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations differ by the choice of spatial grid used to translate curvelets at each scale and angle.)

MATLAB Tutorial This tutorial is available as a supplement to the textbook Fundamentals of Signals and Systems Using Matlab by Edward Kamen and Bonnie Heck, published by Prentice Hall. The tutorial covers basic MATLAB commands that are used in introductory signals and systems analysis. It is meant to serve as a quick way to learn MATLAB and a quick reference to the commands that are used in this textbook. For more detailed information, the reader should consult the official MATLAB documentation. An easy way to learn MATLAB is to sit down at a computer and follow along with the examples given in this tutorial and the examples given in the textbook.

关联度误差分析，全平均预测法算例，一次平均预测，一次指数滑动预测，二次平均滑动预测(Correlation of error analysis, the average prediction example, a average forecast, a slide index prediction, quadratic average sliding prediction)

基于chebyshev的水声信号分析，通过虚拟阵元进行DOA估计，仿真效果非常好。( Based chebyshev underwater acoustic signal analysis, Conducted )

说明：  电机仿真，MTPA控制策略，永磁同步电机(Motor simulation, MTPA control strategy, permanent magnet synchronous motor)

关于《GPS基本原理及其matlab实现》一书的程序，有参考价值(About GPS basic principles and its matlab implementation, a Book of procedures, reference value)

基于MATLAB的通信系统仿真应用详解，这是第4卷。()

说明：  该程序计算Kretschmann和Otto结构的反射率。(Reflectivity of Kretschmann and Otto structure.It can be determined the SPR angle)

说明：  关于ofdm建模的Matlab程序，可以实现ofdm系统性能仿真(Matlab on ofdm modeling procedures, system performance can be achieved simulation ofdm)