cordic

针对粒子群优化算法应用于约束优化问题时易陷入局部极小值的问题, 提出了一种改进的粒子群优化算 法. 该算法综合了约束优化问题的目标函数值和约束函数的违反度值作为粒子群优化算法的双适应度值, 采用了 双适应值动态判断粒子群优化算法中粒子的优劣. 违反度值的计算引入了自适应加权系数, 相应地提出了调整各 权系数的自适应策略, 并改进了粒子群优化算法的粒子竞争选择策略, 拓展了粒子群优化算法的单适应值的应用 范围.应用约束自适应粒子群优化算法实现了城市水厂的节能优化调度. 结果表明, 该算法收敛速度快且结果可 靠. 粒子群优化算法为解决工程约束优化问题提供了一条可行途径(Considering that theparticleswarmoptimization( PSO) algorithmcanbeeasily trappedinto the local minimal valueinconstrainedoptimizationproblems, amodifiedconstrainedparticleswarmoptimiza
tionalgorithmwasproposed. Theobjective functionvalue andthe violationvalue of constraint functions wereeffectively combinedto formtwofitnesses, andthefitnesseswereadoptedto estimate if theparticle wassuperior or not ina dynamicway. Theadaptiveweight functionwasadoptedinthe calculationof the violationvalue. The strategy of keeping anadaptive relationof weight coefficientswasproposed, andthe strategyof swarmtournament selectionwasimproved. Theapplicationlocalizationsof thesinglefitnessof PSOwerewidenedaswell. ThemodifiedconstrainedPSOalgorithmwasappliedtosolveenergyoptimiza
tionproblemsof theurbanwater supplyprocess, whichshowedthat theconvergent speedof thealgorithm isfast andthe result isvalid. Afeasibleapproachto solvetheindustrial constraint optimizationproblems withPSOwasprovided.)

个人总结的Matlab与C++混合编程的资料，其中的代码完全经过验证。(For Matlab and C++ programming)

OFDM第一版（经典课件）有大量详细的关于OFDM的讲解(OFDM first edition (the classic courseware) a large number of detailed explanation on the OFDM)

基于不变矩的形态特征提取，语言是MATLAB，代码可以运行(Morphological features extraction based on moment invariants, language MATLAB, the code can run)

matlab 神经网络应用设计（第一版）的源代码。(matlab neural network application design (first edition) source code.)

时域信号去噪后去噪效果评价指标，包括信噪比、均方误差等(After the time-domain signal denoising denoising uation, including SNR, MSE, etc.)

说明：  地震处理 叠后F-K偏移 有差值方法选择等(FK migration in the post-stack seismic processing)

henon lyapunov graphics for a and b

心电信号去基线漂移，使用小波分解法提取基漂信号，还有小波包去噪(ECG baseline removal, and wavelet packet de-noising)

高精度、低功耗模数转换器是当今集成电路设计模拟领域的研究热点之一，采用sigma-delta调制原理和过釆样原理的模数转换器广泛使用在音频、数字网络、电子测量等系统中。此类模数转换器，为降低信号带内的量化噪声功率，而釆用噪声整形技术，为提高模数转换器的信噪比，使用过采样技术，将基带中的量化噪声调制到了高频区域，这样就增加了基带中的信噪比，也就是增加了转换器的有效量化位数，由于采用较高的过采样率，Sigma-Delta ADC的转换速率相对较低，高精度和较低转换速率的特点，使得Sigma-Delta ADC特别适用于测量。(High precision, low power analog to digital converter is in today s integrated circuit design simulation has become one of the hot research field, the principle of sigma-delta modulation and ADC sampling principle is widely used in audio, digital network, electronic measurement system. This type of analog-to-digital converter, in order to reduce the quantization noise power signal in the band, and the use of noise shaping technique, in order to improve the SNR of the analog-to-digital converter, using the oversampling technique, modulate the quantization noise in the baseband to the high frequency region, which increases in the baseband signal to noise ratio, that is to increase the effective number of quantization bits converter, due to the sampling rate is high, the Sigma-Delta ADC conversion rate is relatively low, the characteristics of high accuracy and low conversion rate, so that Sigma-Delta ADC is especially suitable for measuring)