face

simulation in a communication system

这是一个Alamouti空时码的仿真，包含2发1收或2发2收。(This is an Alamouti space-time code simulation, including two made an entry or two 2 admission.)

纠正了由于存在复指数而导致的图像重叠问题(Corrected result due to re-index the images overlap )

Chapter 3. The Solution of Linear Systems AX = B Algorithm 3.1 Back Substitution Algorithm 3.2 Upper-Triangularization Followed by Back Substitution Algorithm 3.3 PA = LU Factorization with Pivoting Algorithm 3.4 Jacobi Iteration Algorithm 3.5 Gauss-Seidel Iteration

MATLAB implementation of SPIHT (without Arithmatic coding stage). ％ Performance evaluation : this toolbox VS. SPIHT ％ Test image: lena512.raw ％ bpp SPIHT(dB) This code(dB) ％ 0.1000 29.8107 29.3202 ％ 0.2000 32.7202 32.2514 ％ 0.3000 34.5479 34.0331 ％ 0.4000 35.8422 35.4857 ％ 0.5000 36.8623 36.5939 ％ 0.6000 37.6650 37.3759 ％ 0.7000 38.2581 38.0491 ％ 0.8000 38.9390 38.7058 ％ 0.9000 39.5218 39.3437 (MATLAB implementation of SPIHT (without A rithmatic coding stage). Performance evalua% tion : this toolbox VS. SPIHT%% Test image : lena512.raw%% bpp SPIHT (dB) This code (dB)% 0. 1000 29.8107 32.7202 0.2000 29.3202% 32.2514% 0.3000 0.4000 34.5479 34.0331% 35.8422 35.485 7% 0.5000 0.6000 36.8623 36.5939% 37.6650 37.3 759% 38.0491% 0.7000 0.8000 38.2581 38.9390 38 .7058 0.9000 39.5218 39.3437%)

Nonuniform mesh fullvector : Shows how to use the full-vector modesolver with a nonuniform mesh.

基于遗传非常简单实用。算法的多目标优化方案, 用matlab程序编写,(Multi-objective genetic algorithm-based optimization scheme is very simple and practical. Programming with matlab)

两单元的受力分析，可以得到应力、应变等重要的参数信息(Mechanical analysis of the two units can be important parameters of the stress, strain, etc.)

遗传算法的优化计算，建模自变量降维，matlab经典算法(Genetic Algorithm optimization, modeling arguments dimensionality reduction, matlab classical algorithm)

图像的多分辨率处理算法研究，附加相应的matlab代码(image processor matlabcode)