01387053

模式识别与智能计算-MATLAB技术实现(Pattern Recognition and Intelligent Computing-MATLAB technology)

研究了自适应参数谱估计的基本原理，提出了基于最小均方误差(MMSE)准则的LMS格型滤波算法实 现自适应参数谱估计的方法。通过对仿真测试信号和线性调频信号的计算表明，该方法能够在改善谱分辨率的 同时提高运算效率，满足遥测速变信号的处理和分析计算的要求(This paper discusses the principle of adaptive parametric spectrum estimation．It provides an approach to es— timate power spectrum with a lattice filter according to the minimum mean square error(MMSE)criterion．The test re— sults of simulated observation signal and linear frequency modulation signal indicate this method improves the spectrum resolution and calculation eficiency，completely meets the requirements of the teleme data processing and analysis、)

Aided design of digital systems patronized semiconductor converter in the package ORCAD

一个身体部位比较模型的新方法网络（BAN）的，可以容纳多个环节和多个科目。所述的绝对测量允许跨频谱可能刻画的比较 从单参数为整个合奏，通过基于参数化到每个活动，每个学科和每个环节模型。使用错误，并明确之间权衡复杂性，在一个善良的适应措施相结合，显示有重要的影响时，适用于一系列典型的禁止通道数据。它是有不同的 在模式的选择的影响，以及它相关的复杂性，混合活动的“日常”的数据，设置活动相比，动态数据（例如步行）。平均路径损耗的不足，甚至位数的路径损失的措施，作为唯一的表征还强调“禁止通道。 (A new approach to compare models for body area networks (BAN) that accommodates multiple links and multiple subjects is presented. The absolute measure described allows comparison across a spectrum of possible characterizations ranging from single-parameter for an entire ensemble, through to per-activity, per-subject and per-link based parameterized models. The use of an explicit trade-off between error and complexity, combined in a goodness-of-fit measure, is shown to have important consequences when applied to a range of typical BAN channel data. It is shown that there are different implications in choice of model, and it’s associated complexity, for mixed-activity “everyday” data, when compared with set-activity dynamic data (e.g. walking). The deficiency of mean path loss, or even median path loss measures, as a sole characterization of the BAN channel is also highlighted.)

一个计算声子晶体结构的一维传递矩阵法,在MATLAB中求图像纹理特征，Relief计算分类权重。( A one-dimensional transfer matrix method to calculate the phonon crystal structure, In the MATLAB image texture feature, Relief computing classification weight.)

说明：  用Matlab实现阴历和阳历相互转换，里面有注释可供参考(Using Matlab to achieve conversion between the lunar and solar calendar, which has notes for reference)

最小均方自适应滤波器，是线性自适应滤波算法(LMS adaptive filters, linear adaptive filter algorithm)

Atef Elsherbeni书第一章中一个一维FDTD仿真程序实例(A one dimensional FDTD simulation example in the FDTD textbook written by Atef Elsherbeni in the first chapter.)

Color Image Enhancement Techniques: A Critical Review Abstract Image enhancement is one of the key issues in high quality pictures such as digital camera and HDTV. Since Image clarity is very easily affected by lighting, weather, or equipment that has been used to capture the image. These conditions lead to image may suffer from loss of information. As a result, many techniques have developed known as image Enhancement techniques to recover the information in an image. This paper presents a literature review on some of the image Enhancement techniques for color image enhancement like, Contrast Stretching, Histogram Equalization and its improvement versions, Homomorphic Filtering, Retinex, and Wavelet Multiscale Transform. Comparison of all the techniques concludes the better approach for its future research

这是一个基于Matlab的虚拟信号发生器的源代码,该信号发生器可以产生你需要的任意波形,还有白噪声.(This is a Matlab-based virtual signal generator source code, the signal generator can generate arbitrary waveform you need, as well as white noise.)