odegalerkin

细胞生长可视化,采用M语言编辑的进行细胞动画生长分析.(cell growth visualization, using M language editing animation cell growth analysis.)

RGB to gray scale conversion of image.

matlab软件中基于Simulink模型的设计，有关于RTW和xpc实验(matlab software Simulink model-based design of experiments about RTW and xpc)

说明：  信号的双边带am调制，相干解调仿真。通信原理matlab仿真设计。(Double sideband signal am modulation, coherent demodulation simulation. Communication theory matlab simulation design.)

DS-spread spectrum系统中,噪声为加性高斯白噪声,传统单用户检测,线性解相关多用户检测和最小均方误差多用户检测的性能比较(DS-spread spectrum system, the noise is additive white Gaussian noise, the traditional single-user detection, the linear decorrelating multiuser detection and MMSE Multiuser Detection Performance Comparison)

用于计算流体力学中五类黎曼间断问题数值模拟(Program Used for five kind of Riemann problem in CFD)

matlab数学建模工具箱，线性统计聚类 (样品集，训练品集，训练品类别集)将各样品分类。(matlab toolbox of mathematical modeling, linear statistical clustering (Sample set, set of training materials, training, product category set) to the sample classification.)

自适应滤波算法是自适应滤波器实现过程中较为重要的环节,数字信号处理器的出现为数字信号处理算法的 实现和大规模数据的实时处理提供了可能。通过对自适应最小均方算法(LMS) 及其各种改进算法的Matlab 仿真,进行分 析及归纳比较,得出结论,并在此基础上,提出算法的优化方案,以DSP 为平台,用汇编语言对自适应算法进行了描述,最终 以DSP 为平台完成了自适应滤波器的设计。(Adaptive filtering algorithm is an adaptive filter process is more important part of the emergence of digital signal processor for digital signal processing algorithm implementation and large-scale real-time data processing possible. The adaptive least mean square (LMS) algorithm and its various improved Matlab simulation, we analyze the comparison, draw conclusions, and on this basis, the proposed algorithm optimization program to DSP platform, with the assembly Language of the adaptive algorithm is described, the final completion of DSP-platform for adaptive filter design.)

simulink model of an innovative sinusoidal pulse width modulation technique. try to verify the performance. it is for study purpose..

模糊控制的PID控制模型，一共由两部分组成，分别是模型和m函数。经过多次修正，控制效果很好。(PID control fuzzy control model, consists of two parts, respectively is the model and m function. After several revisions, the control effect is very good.)