dsplabeie

基于matlab的最佳基带传输系统仿真(升余弦滚降系统)(the best base-band transmission system simulation (or cosine roll-off system))

用于DSP 28035 来设计永磁同步电机的书籍，值得参考(Designed for DSP 28035 PMSM books worth considering)

语音信号说话人识别， 运用DTW算法进行说话人识别(Speaker recognition by speech signal and speaker recognition using DTW algorithm)

Pipelined Chebyshev Functional Link Artificial Recurrent Neural Network for Nonlinear Adaptive Filter

matlab bacpropagation neural network

用平面波展开法模拟2维光子晶体的能带结构,FDTD法模拟2维光子晶体能量传输(with plane wave expansion method simulation of two-dimensional photonic crystal structure of the band, FDTD simulation of two-dimensional photonic crystal energy transmission)

说明：  此程序描述了QPSK调制解调的过程，包括成形与匹配滤波，最后给出解调误码率。(This program describes the process of QPSK modulation and demodulation, including shaping and matching filtering, and finally gives the demodulation error rate.)

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

用平面波展开法计算二维声子晶体带隙,可以提取一幅图中想要的目标，能量谱分析计算。( Computation Method D phononic bandgap plane wave, Target can be extracted in a picture you want, Energy spectrum analysis and calculation.)

非常齐全的数字通信调制源代码。对于初学数字通信仿真的人有很大帮助！(Very complete source code modulation digital communication. For the beginner digital communication simulation of great help to the people!)