Narrowband-Gaussian-noise

一维连续功率谱分析 一维序列x(n)的连续功率谱分析，ol(0:m)频率，tl(0:m)周期，sl(0:m)连续功率谱，st95(0:m)红噪音或白噪音谱的95 置信上限，strw(0:m) 红噪音或白噪音的谱密度，其中m=[n/2.]。 (Continuous power spectral analysis of one-dimensional one-dimensional sequence x (n) of continuous power spectrum analysis, ol (0: m) frequency, tl (0: m) cycle, sl (0: m) continuous power spectrum, st95 (0: m ) red noise or white noise spectrum of the 95 confidence limit, strw (0: m) of red noise or white noise spectral density, where m = [n/2.].)

本论文的工作是对近场圆形阵列宽带信号进行处理，获得目标/焦点位置增益输出， 预先定义宽带信号阻带的旁瓣衰减大小以及感兴趣频域内的恒定波束宽带模式。本文使 用不同的方法解决这个设计问题，该问题分为两部分，第一部分解决频域内的模型设计， 第二部分给出时域内的结果。仿真结果表明解决方法的有效性。 (This thesis work is a circular array of broadband near-field signal is processed to obtain the target/focus position gain output, Pre-defined stopband sidelobe wideband signal attenuation constant beam size and frequency domain of interest wideband mode. This paper makes To solve this problem in different ways design, the problem is divided into two parts, the first part of the solution in the frequency domain model design, The second part gives the result in the time domain. The simulation results show the effectiveness of the solution.)

图像采样，图像二值化，计算图像噪声水平，包含Matlab源代码(Sampling the image, binarizing the image, calculate the image noise level,include code)

ART reconstruction toolbar

These are the matlab programs to simulate network protocols, flow control algorithms, encryption and decryption algorithms,..etc

matlab常用的模糊聚类程序，并附有演示程序(matlab fuzzy clustering procedure used, together with demo program)

自己创建simulink库的时候所需要的文件，值得参考(Simulink library to create their own when the required documentation, it is also useful)

OFDM调制模型，采用16QAM方式，并介绍了一种基于这种调制方式下的OFDM载波同步方法。每一步都有英文解释。(OFDM modulation model, using 16QAM mode and introduced an approach based on this modulation method under the OFDM carrier synchronization. English to explain every step.)

This is a matlab code for car license number recogniser.

This MATLAB implementation computes a correspondence between two shapes based on ant colony optimization (ACO). The input shapes can be either two 2D contours (open or closed) or two arbitrary sets of 2D points. The algorithm is described in detail in: