hua-FFT

matlab强大软件，功能齐全，数学建模专业软件(matlab powerful software, functions, mathematical modeling software)

说明：  利用matlab仿真实现载波的平方环载波同步,costas环载波同步和符号同步(The square loop carrier synchronization, Costas loop carrier synchronization and symbol synchronization are realized by MATLAB simulation)

MATLAB Simulations for Radar Systems DesignAB_Simulations_for_Radar_Systems_Design

对通信中应用较多的自适应滤波算法LMS算法进行了仿真，并且解决了信号的起始值的对齐问题。(Application of communication are more adaptive filtering algorithm for simulation of LMS algorithm, and solve the initial value of the signal alignment problems.)

多目标粒子群带测试函数matlab多目标粒子群带测试函数matlab多目标粒子群带测试函数matlab多目标粒子群带测试函数matlab(Multi-objective particle swarm with test function matlab)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.)

matlab程序用于计算光镊中的轴向力，开发者使用高超的matlab编程能力，是程序简洁易懂(matlab source program for calculating opitcal trap force.Programmer made use of his higher lever ability to create a simplified and easy to understand progfram. )

In this work, the Mel frequency Cepstrum Coefficient (MFCC) feature has been used for designing a text dependent speaker identification system. The extracted speech features (MFCC’s) of a speaker are quantized to a number of centroids using vector quantization algorithm. These centroids constitute the codebook of that speaker. MFCC’s are calculated in training phase and again in testing phase. Speakers uttered same words once in a training session and once in a testing session later. The Euclidean distance between the MFCC’s of each speaker in training phase to the centroids of individual speaker in testing phase is measured and the speaker is identified according to the minimum Euclidean distance. The code is developed in the MATLAB environment and performs the identification satisfactorily.

maven seetingmaven seetingmaven seetingmaven seeting(maven seetingmaven seetingmaven seetingmaven seetingmaven seetingmaven seeting)

多个无线传感器定位代码，大家分享，包括DV-hop、RSSI等(Multiple wireless sensor positioning code share)