spectrum-analyzer

DCT图像压缩算法。1.图象进行归一化 2.显示系数图象 3.重构及显示图象 4.显示误差图象 5.计算归一化图象的均方误差 (DCT image compression algorithm. 1. Images were normalized 2. Shows coefficient image 3. Reconstruction and display of images 4. Show the error images 5. Calculated normalized mean square error of image)

主要用于matlab中的一些基本方法的介绍 以一些功能简介，适合初学matlab用户(used for matlab)

了解随机信号自身的特性，包括均值（数学期望）、方差、相关函数、频谱及功率谱密度等。(Understanding of random signal their characteristics, including mean (mathematical expectation), variance, correlation function, spectrum and power spectral density.)

digital image processing source code

预编码主函数。在通信系统中知道CSI情况下，预编码。(English Description)

采用Landweber方法进行反卷积，迭代次数需要自己设定(deconvolution with Landweber)

用matlab编写的替代数据法，检验某一时间序列是否具有非线性特性(Surrogate data to test whether the nonlinear time series)

基于均衡网络能耗的无线传感网络路由算法，包括分簇机制，数据传输机制等(Wireless sensor network routing algorithm based on balanced energy consumption of the network, including the clustering mechanism, data transmission mechanism)

A filter bank structure that can deal effectively with piecewise smooth images with smooth contours, was proposed by Minh N Do and Martin Vetterli. The resulting image expansion is a directional multiresolution analysis framework composed of contour segments, and thus is named contourlet. This will overcome the challenges of wavelet and curvelet transform. Contourlet transform is a double filter bank structure. It is implemented by the pyramidal directional filter bank (PDFB) which decomposes images into directional subbands at multiple scales. In terms of structure the contourlet transform is a cascade of a Laplacian Pyramid and a directional filter bank. In essence, it first use a wavelet-like transform for edge detection, and then a local directional transform for contour segment detection. The contourlet transform provides a sparse representation for two-dimensional piecewise smooth signals that resemble images.

说明：  基于建筑抗震设计规范的反应谱（地震影响系数曲线）(Response Spectrum based on anti-seismic code for buildings)