WAV_musicplayer

MYADDER M-file for myAdder.fig MYADDER, by itself, creates a new MYADDER or raises the existing singleton*. H = MYADDER returns the handle to a new MYADDER or the handle to the existing singleton*. MYADDER( CALLBACK ,hObject,eventData,handles,...) calls the local function named CALLBACK in MYADDER.M with the given input arguments. MYADDER( Property , Value ,...) creates a new MYADDER or raises the existing singleton*. Starting from the left, property value pairs are applied to the GUI before myAdder_OpeningFunction gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to myAdder_OpeningFcn via varargin. It s great code for learning GUI in Matlab simple and basic.

用单球面透镜对日亚红色激光准直仿真，仿真以casio为模型(This is a model of RED LD focusing experient，basing on the casio product。)

Fuzzy logic algorithm

Fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an effective algorithm suitable for image segmentation. Its effectiveness contributes not only to introduction of fuzziness for belongingness of each pixel but also to exploitation of spatial contextual information. Although the contextual information can raise its insensitivity to noise to some extent, FCM_S (1) still lacks enough robustness to noise and outliers and (2) is not suitable for revealing non-Euclidean structure of the input data due to the use of Euclidean distance (L2 norm).

说明：  本算法为粒子群优化算法，适用于初学者，压缩包中附带了一个基本函数用于实践。(This algorithm is a particle swarm optimization algorithm, which is suitable for beginners. A basic function is attached to the compression package for practice.)

说明：  通过Matlab仿真，对有无信道估计对系统误码率的影响进行了比较，对LS和MMSE估计算法进行比较(Matlab simulation, whether the channel estimation system bit error rate compared with LS and MMSE estimation algorithm compares)

Particle swarm optimization is a derivative-free global optimum search algorithm based on the collective intelligence of a large group of intercommunicating entities. The individual particles are simple and primitive, knowing only their own current locations and fitness values, their personal best locations, and the swarm s best location. Each particle continually adjusts its trajectory based this information, moving towards the global optimum with each iteration. The swarm as a whole displays a remarkable level of coherence and coordination despite the simplicity of its individual particles. The coordinated behavior of the swarm has been compared with that of a flock of birds or a school of fish.

说明：  此程序用来进行信道延迟，和序列互相关的。(This procedure used for channel delay, and the sequence of inter-related.)

counting fingers on webcam

利用自适应遗传算法求解多元函数的最值问题。(Most adaptive genetic algorithm for multi-function value.)