logpolar

LPC vocoder LPC vocoder with several option Graphical user interface Also included several .wav file as example

本源码通过声音传通数据，将数据调制二进制PSK(即BPSK)信号从喇叭发出来，另外一个接收程序接收到声音后，便可以解码出来，用到的技术有PSK编码、PSK解码、Windows录音，为了防止传输过程中出现的误，本原码采用rss纠错码，使得通讯更加稳定可靠。(The Source by voice through the data, binary modulation PSK (ie, BPSK) signals emitted the speaker, the other receiving program after receiving the sound, you can decode it, the techniques used have PSK encoding, PSK decoding, Windows Recording in order to prevent accidental transmission occurs, the primitive code using rss error correction code, making communications more reliable.)

The new meshless method based on the cover least square approximation, which utilize cover instead of points that are used in the moving least square approximation, is proposed. For the cover distribution, multi scale voxel data is used for the ease of analysis in 3D solid. Several 3D examples are shown for demonstration. The method is applied to adaptive analysis of seepage flow problem of rock including complicated cracks. The rock model with 3 cracks and 1000 cracks are analyzed

PSO Fuzzy Modeler (Mamdani) for charger

说明：  遗传算法GA优化算法，内含GA的多个标准测试函数(Genetic algorithm GA optimization algorithm, including multiple standard test functions of GA)

Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification. This document explains the use of libsvm.

线性数字信号脉冲压缩，并且用模糊函数验证。(Linear digital signal pulse compression, and verified by fuzzy functions.)

针对卫星通信系统中常用的三种通信系统的matlab建模仿真(Matlab modeling and simulation for satellite communication systems commonly used in three communication systems)

This paper describes the impact of fuzzy parameter in FCM algorithm, and found 2.1 value as suitable one.

说明：  从信号估计和频谱分析的观点分析了LMS算法,提出了LMS算法应具有低通性能的观点,并给出了求取算法收敛因子的公式。(In this paper, the LMS algorithm is analyzed from the viewpoint of signal estimation and spectrum analysis. The viewpoint that the LMS algorithm should have low-pass performance is put forward, and the formula for calculating the convergence factor of the algorithm is given.)