gu_Morlet

Modeling the Stephan cooking mixer, Hardware in the loop simulation

AIC BIC信息准则的二十一，。。。。。。。。。。。。。(aic bic)

一些关于matlab的学习资料，图像处理的一些常用图片(Matlab learning materials, some commonly used image processing Image)

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)

Orthogonal frequency division multiplexing (OFDM) is becoming the chosen modulation technique for wireless communications. OFDM can provide large data rates with sufficient robustness to radio channel impairments. Many research centers in the world have specialized teams working in the optimization of OFDM for countless applications. Here, at the Georgia Institute of Technology, one of such teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part of the Georgia Center for Advanced Telecommunications Technology (GCATT). The purpose of this report is to provide Matlab code to simulate the basic processing involved in the generation and reception of an OFDM signal in a physical channel and to provide a description of each of the steps involved. For this purpose, we shall use, as an example, one of the proposed OFDM signals of the Digital Video Broadcasting (DVB) standard for the European terrestrial digital television (DTV) service.

包含两个部分：1传统粒子群算法优化BP神经网络 2改进的粒子群算法优化BP神经网络源代码(It consists of two parts: a traditional particle swarm optimization BP neural network 2 Improved particle swarm optimization BP neural network source code)

基于平方包络的PSK 信号的码元速率估计。(Symbol rate is estimated based on square envelope QPSK signal. mpsk function and test_signal in cwt compressed package.)

说明：  三维迹线法求右轮的迹线 ，其间有数据也有程序，可以拿我的直接计算来理解(The Geometrical Contact between Track and Wheelset)

本文算法是将24 位真彩图的亮度分量分块 DCT ,然后利用DCT 量化系数的奇偶特性嵌入8 位灰度水印图,并通过PN 序列加密来保证水印的 安全性。算法中,将灰度图像转换为二进制数据 流,置乱后扩频调制,隐藏在宿主DCT 系数量化值 中,提取时不需要宿主信号,实现水印信号的盲提 取。(This algorithm is 24-bit true color pictures of the luminance component of block DCT, quantization DCT coefficients and then use the parity properties of 8-bit grayscale watermark embedding map, and through the PN sequence of encryption to ensure the security of the watermark. Algorithm, the gray image into binary data stream, scrambling after the spread spectrum modulation, hidden in the host DCT coefficient quantization values, the extraction does not require the host signal, the blind watermark extraction.)

this is another example to erettt..