guess_your_idea

This is a journal that you need to build a AAC Compression

Linear Antenna arrays provide alternative solution to dimensional structure of Antennas such as paraboloidal cylinders, paraboloids, offset focus paraboloids etc. This paper presents the survey of various evolutionary approaches for linear array optimization like genetic algorithm, Particle swarm optimization, Simulated Annealing, Bacteria Foraging and Biogeography Based Optimization. From the survey It was observed that biogeography based optimization is better for antenna geometries.

RS编码语言，源代码，适合学习，已经运行过(RS coding language, source code, for learning, has been run over)

遥感地图多项式校正,用matlab实现，本来还想写共线性校正的，还没写好，写好后上传(the polynominal correction of remote sensing map)

提供您如何建立软件开发验证测试流程的建立及相关表格的參考(It is helpful for one to establish the flow of software verification process.)

说明：  通过信源编译码，理解信源编码的主要目的，理解香农第一定理,掌握信源编码的方法和手段(By source encoding and decoding, source code to understand the main purpose of the first theorem of Shannon to understand and master the methods and source code means)

基于lcL滤波器的三电平有源电力滤波器（APF）的仿真设计，包括（谐波检测， 电流跟踪环节）（SPWM调制） 离散域(Based on the three-level lcL filter active power filter (APF) simulation design, including (harmonic detection, current tracking link) (SPWM modulation) discrete domains)

高斯金字塔 优化的版本，可用，效率比较高(Optimized version of the Gaussian pyramid, available, more efficient)

说明：  广义S变换，具有良好的分析特性和局部的时频的特性，而谱白化和反褶积也是高分辨处理中的一种有效的频率补偿手段，本文利用他们的他们的各自优点，使二者结合起来，该方法对地震信号用广义S变换分解，进行频率补偿再进行重构，得到高分辨率时间信号。  理论模型试算和实际地震处理结果证明了该方法的正确性和有效性。  关键词：广义S变换，谱白化，高分辨处理(Generalized S transformation (GST) has good analyzing feature and good Time-frequency localization,. spectrum whitening and deconvolution is an Effective tool for frequency compensation , Utilizing both their advantages , The method first conducts GST decomposition to seismic data,. doing high frequency compensation and then reconstruction to get high resolution seismic to get a high-resolution time signal. Theoretic modeling and field seismic data processing results has proved this method corrected and effective . )

- XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer + Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts. +Reference papers: H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.(- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous- Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005.)