Convex-Optimization-in-SP-and-Comm

本文描述了最优化问题的基本概念、分类和通常的求解方法，全局最优化在特定领域里德最近发展，同时简单介绍了几个优化软件(This paper describes the basic concepts of optimization problems, classification and the usual method for solving global optimization of recent developments in specific areas Reid also introduced a few simple optimization software)

一个颜色空间转换的程序，可以实现任何空间的转换，如rgb到L*a*b颜色空间转换等。(A color space conversion process, conversion of any space can be achieved, such as rgb to the L* a* b color space conversion.)

对ofdm系统进行信道估计，特别是对时变信道，受多径和多普勒影响严重的系统，算法收敛性很好(Ofdm system for channel estimation, especially for time-varying channel, affected by severe multipath and Doppler system is very good convergence)

说明：  产生一个10000位的bipolar信号并画出bit error performance的模拟图像，求出BER(The source generates equally probable bits, P(0) = P(1) = 0.5. (a) Construct a program to generate 10000 bits with bipolar signaling. (b) Use your program to simulate the bit error performance of the system with Eb/N0 = 0, 2, 4, 6, 8, 10 dB. (c) Compare your simulated performance with the analytical expression for the bit error rate (BER):)

LTE系统中OFDM技术的仿真，包括循环前缀的插入去除，调制解调等主要步骤(The OFDM system of LTE, CP-OFDM, including of Cyclic Prefix modulation-demodulation and so on.)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

this program convert image to ascii code image

一些经典的matlab GUI 制作例子，值得一看(some examples of matlab gui)

包括主成分分析、因子分析、贝叶斯分析，对信号进行频谱分析及滤波，是国外的成品模型。( Including principal component analysis, factor analysis, Bayesian analysis, The signal spectral analysis and filtering, Foreign model is finished.)

非二位元LDPC 32 CODE錯誤率 非二位元LDPC 32 CODE錯誤率(Non-two yuan LDPC 32 CODE error rate of non-two yuan LDPC 32 CODE error rate)