furijeovaanaliza

bi-linear Filter. Circular Convolution of two sequences using DFT and IDFT. Discrete Fourier Transform (DFT) of the sequence

Image Compression A collection of simple routines for image compression using different techniques. BTCODE: Image compression Using Block Truncation Coding. PYRAMID: Image compression based on Gaussian Pyramids. DCTCOMPR: Image compression based on Discrete Cosine Transform. (Image Compression A collection of simple r outines for image compression using different techniques. BTCODE : Image compression Using Block Truncation Codi Vi. PYRAMID : Image compression based on Gaussian Pyramids. DCTCOMPR : Image compression based on Discrete Cosine trapidil nsform.)

interconnect system parameter variation

compares the capacity of SISO and MIMO systems

基于图像处理的水果识别代码及其相关算法的matlab仿真(Based on multi-sensor data fusion Fruit-based image processing algorithm and its associated identification code matlab simulation)

意信号卷积的运算,并且绘制图象，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块。( Convolution operation is intended to signal and image rendering, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, ofdm system simulation including 16qam modulation fft windowing modules plus cp.)

去除adc采样信号基线程序，需要输入采样率，基线时刻等(trime base line)

homework 4 given to me by my lecturer enjoy

In this paper, we introduce a new machine-learning-based data classification algorithm that is applied to network intrusion detection. The basic task is to classify network activities (in the network log as connection records) as normal or abnormal while minimizing misclassification. Although different classification models have been developed for network intrusion detection, each of them has its strengths and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC (Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both classification rate and run-time efficiency.

线性规划的示例程序，包括线性规划所需要的子程序(Example of the linear programming procedures, including linear programming subroutine)