lyapunovexponents(2)

针对双极性、单极性码产生直扩系统，并加上宽带噪声干扰，(For bipolar, unipolar codes have a direct expansion system, and with broadband noise,)

NNM-i Developer s Toolkit Guide

用语计算volterra的kernel核(Calculating the kernel of Volterra)

最小均方误差自适应滤波器的simulink仿真，适合于新手使用。欢迎使用。(this is the simulink of the lms algorithm and welcome to use it.)

OFDM调制模型，采用16QAM方式，并介绍了一种基于这种调制方式下的OFDM载波同步方法。每一步都有英文解释。(OFDM modulation model, using 16QAM mode and introduced an approach based on this modulation method under the OFDM carrier synchronization. English to explain every step.)

粒子群优化算法代码，用于matlab优化计算(Particle swarm optimization algorithm code)

matlab数值模拟，外文教材！欢迎来联合开发网下载！(matlab simulation, foreign language teaching! Welcome to the Joint Development Network download!)

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

This project is under Digital image processing. The project helps us to identify the smoke present in the images, the source code is written by matlab scripting.

codage matlab winmax mimo