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A new method to solve the combinatorial optimization problems with mixed evolutionary algorithm based on natural scale enumerative system coding was proposed in this paper. Elitism strategy, one-point crossover and Gaussian mutation were used in the algorithm. An ingenious method for operation among big parameters was designed, which can avoid overflow and simplify the operation.

在自然进位制编码的基础上,算法采用了遗传算法的单点交叉算子和进化规划的高斯扰动算子,并运用了精英保留策略;算法实现时采用逐位运算法实现大数值运算,避免了运算溢出,减少了运算量。

In order to preserve more details while erasing mixed noise, a new algorithm based on the structure of modified trimmed mean filter was proposed. Characters of the new one are: 1 replaces the median filter with center weighted median which shows better performance in preserving details; 2 uses the filtering result to estimate the deviation of Gaussian noise. The estimating result is used to change the filter parameter, so the new algorithm is robust.

为了在滤除退化图像中混合噪声的同时能更好地保护图像的细节,文中提出了基于改进均值滤波结构的新算法,其特点为: 1)用中心加权中值滤波算法替代MTM 方法中的中值滤波算法以更好地保护细节; 2)提出了一种直接利用滤波结果来估计混合噪声中高斯噪声方差的方法,估计的结果被用于滤波器系数的调整,使得新算法有很好的鲁棒性。

According to the Gaussian point expansion function curve characteristic,a new Gaussian PSF accurate estimation algorithm is put forward.

根据高斯型点扩展函数曲线的特点,提出了新的高斯型点扩展函数参数的估计方法。

Provided that the initial prior intensity of the states is Gaussian or can be identified as a Gaus- sian sum, the analytical results of the algorithm show that the posterior intensity at any subsequent time step remains a Gaussian sum under the assumption that the state noise, the measurement noise, target spawn intensity, new target birth intensity, target survival prob- ability, and detection probability are all Gaussian sums.

分析的结果表明,当初始的先验强度满足高斯或者可以表示成高斯和的形式时,通过将状态噪声、观测噪声、目标的繁衍、新目标的产生、目标的存活概率和检测概率表示成高斯和的形式,之后每个时刻的后验强度均能表示成高斯和形式。

Based on the old algorithm, introduce new Linear Feedback Shift Register, new Central Limit Theorem, Maclaurin Equation to generate uniform distribution, gaussian distribution, exponential distribution's random number respectively and analyze them, compares the difference between new algorithm and old algorithm.

在原有算法的基础上,提出了改进型线性反馈移位寄存法、改进型中心极限定理法和麦克劳林展开法,并对其作测试仿真,比较传统算法与改进型算法之间的优缺点。

Related algorithm\' s new application and algorithm\' s improvement andproof proposed include:Dijkstra algorithm,Intersect-Bellman-Ford *algorithm,n regular random graph,multi-dimensional scaling,FastmapAlgorithm,QoS algorithm,multi-view Expectation Maximization algorithmbased on Gaussian distribution hybrid model and so on.

具体涉及的算法新型应用或者算法改进涵盖了Dijkstra算法、IBF*(Intersect-Bellman-Ford)*算法、N正则随机图、多维定标算法、FastMap算法、QoS算法和多视图EM聚类算法等。

The algorithm has some problems, such as bias problem, aliasing problem and one problem that affects none-shade part of image and is caused by Gaussian blur. To solve these problems, this paper makes some improvement on the algorithm. Firstly, it uses the Woos average depth principle and PCF algorithm to solving bias problem and aliasing problem; secondly, it designs and implements an effective method to control the range of blur; thirdly, it adapts any size texture to story information. This method for keeping information plays important part on raising realistic graphic; fourthly, it takes use of the technology of programmable graphics hardware and the method of FBO to improve efficiency of algorithm.

由于基于高斯模糊的阴影算法存在阴影走样、量化误差和高斯模糊影响非阴影部分图像等问题,因此本文从以下几个方面对算法进行了改进:第一,在算法中添加了woo的平均深度值原理和PCF算法,改善了量化误差和阴影走样问题;第二,设计并实现了一种方法,有效地控制了高斯模糊的范围,提高了三维图形的真实感;第三,使用任意大小的纹理进行存储,提高了阴影的真实感;第四,通过可编程图形硬件技术的应用,提高了算法的运行速度。

The paper investigates both block-type pilot linear minimum mean square error algorithm and IEEE802.16 OFDM channel estimation analysis. Simulation results confirm the block-type pilot structure is more suitable for IEEE802.16 system. An optimal pilot setting algorithm, based on space frequency domain, is explored and the pilot chart is presented. The proposed algorithm finds its application in MIMO-OFDM. Simulation results show the algorithm presents a good approximation to the perfect channel state information curve, with about 2dB difference in SNR. The simulation results also demonstrate the algorithm achieves fairly high stability in the environment of fast fading, performance of the proposed algorithm is better that of pilot training channel estimation.3. Taking into account the characteristics of IEEE802.16 OFDM system, OFDM system simulation platform is constructed in Matlab, exploiting simulink as a tool. OFDM modulation and demodulation simulation system are configured on LabVIEW platform. All the system signal processing is simulated, including defining system parameters, designing modulation model, and verifying all the proposed algorithms under different environments, such as white Gaussian noise, multi-path fading, with or without guard interval etc. Bit error performance is evaluated. The research provides valid theoretical basis for practical OFDM system performance evaluation.4. Taking advantage of software radio, the paper designs a hardware platform with both 256-IFFT/FFT and 512-IFFT/FFT OFDM schemes co-existing in one platform. You can predetermine one from the two schemes to carry out almost the same model function with different system performance and parameter setting.5. Referring to IEEE802.16 standard, the paper proposes a design method for generating signals and frames suitable for laboratory investigations implemented in laboratory environment.6. Based on 6701evm digital evaluation card, combined with analogy front-end, the paper designs a DSP software model to deal with baseband signal processing. An overall OFDM scheme, with modulation and demodulation function, is accomplished.

讨论分析了MIMO-OFDM中一种基于空频域的最优导频设置算法,给出了导频图案,通过仿真实验表明,该算法与理想的信道状态信息曲线非常接近,信噪比差距约在2dB左右,并且在快衰落条件下具有较好的稳定性,其性能要优于基于前导训练的信道估计方法。3、根据IEEE802.16OFDM系统特点,论文分别在Matlab中应用Simulink工具构建OFDM系统仿真平台、在LabVIEW平台上实现了OFDM调制解调仿真系统,模拟了整个系统的信号流程,进行了OFDM仿真系统参数的选择和调制模块的仿真设计、论证各算法性能,并根据各种不同的条件:例如高斯噪声、多径衰落、有无保护间隔等,对系统的误码特性进行了评估,为正确评价实际OFDM系统的性能提供了有效的理论依据。4、论文以软件无线电思想作为指导,提出了以256点IFFT/FFT为核心和以512点IFFT/FFT为核心的两种OFDM算法模式并存于同一个硬件平台、且可预选的方案,它们在参数选取和性能指标上有所差异,均实现了相似的模块和功能。5、论文参考IEEE 802.16无线网络标准的参数设置,针对本设计系统的应用环境和系统硬件的性能速率,提出了一种应用于实验室环境的信号结构、帧格式等参数设计。6、论文基于TI公司的6701evm数字评估板卡,结合模拟前端搭建数字中频平台,设计了基带处理的DSP软件模块并进行系统调试,基本实现了一套完整的OFDM调制解调方案。

First,owing to the wide range of use of WeibuU distribution,we propose the Weibull MTD model,which has improved the MTD model based on Gaussian distribution in some thick-tailed cases;Second,some stationarity properties of the model are discussed;After that,we apply the standard EM algorithm to mixture models to get the estimation equations and then expose bootstrap method to calculate confidence region of the parameters;Finally,some simulations and an example are analyzed in detail,which show that when analyzing nonstandard date,such as financial date,insurance date and so on,it is more proper for estimation to use the Weibull MTD model than the Gaussian MTD model.

首先给出基于Weibull分布的混合转移分布模型的一阶与k阶平稳的充分必要条件;接着,应用EM算法,得到了参数的极大似然估计及它们的标准误差;然后,应用Bootstrap方法,得到了参数的置信区间;最后,通过模拟与实例分析,说明该模型在分析来自金融、保险等某些厚尾分布的数据时,在参数估计方面的表现优于高斯混合转移分布模型。

In accordance with the pictures which are polluted by two different types of noises---salt-and-pepper noise and Gaussian white noise, the thesis analyzes the parameters in PCNN algorithm one by one in detail, and reaches some serviceable conclusions, pointing out there exist some differences in choosing parameters of the model when removing the salt-and-pepper noise and Gaussian white noise.

本文的工作取得了以下三方面的新进展:(1)在对二值图像进行去噪处理时,针对被两种不同类型的噪声——椒盐噪声和高斯白噪声污染的图像,对PCNN算法中的参数进行逐个地详尽地分析,得出了一些有用的结论,指出当算法具体应用于去除椒盐噪声和高斯白噪声时,参数的选择存在着区别。

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