Bcellabba

剪切图片，有利于初学者，希望能够帮助有些人(cut picture)

计算一副图像的信息熵，如需计算多幅图像，只需修改名称即可(Calculating an image information entropy, calculated for multiple images, you can just change the name)

说明：  matlab基础教学系列4，一步一步一步一步教学系列(the door to matlab)

Formant_tracker based on LPC Analysis format:[formants]=formant_tracker(input,dimension,step,window_size,p,threshold)

lee filter for speckle reduction

主要设计了在matlab下异步电动机在mt坐标轴下的开环控制仿真。(The main design of the asynchronous motor in matlab mt axis open-loop control simulation.)

软限幅效应,量化阶数及取样间隔对直扩数字匹配滤性能的影响 郭南1996 本文以典型的AID变换量化器和改进型抖动噪声量化器为倒t研究几个数字化参数对 直接序列扩频(DS／SS)数字匹配滤渡／相关性能(系统的处理增益和误比特率)的影响，给出理论分 析及计算机模拟结果 用最优化方法研究最佳软限幅问题；指出增加量化比特数与引入抖动噪声 相比能更有救地改善系统性能，而且只要采用三比特的量化就能使系统性能接近无穷量他的效 果．文中还讨论了取洋间隔以及噪声的归一化带宽对系统性能的影响。本文的结果可为台理设计 直扩数字匹配撼披器，相关器提供必要的理论依据。(Soft limiter effect of quantization and sampling intervals on the order of DS digital matched filter performance Guo South 1996 In this paper, a typical quantization AID transform quantization noise and improved jitter inverted t examine several parameters on the digital direct sequence spread frequency (DS/SS) digital matched filter crossing/relative performance (system processing gain and bit error rate) of given theoretical analysis and computer simulation results using optimization method of optimal soft limiter problem pointed out that the increase in quantization bits Number and introduce jitter noise can be more saved than to improve system performance, and as long as the three-bit quantization of the system performance can be substantially infinite amount of his effect. The paper also discusses the fetch interval and ocean noise normalized bandwidth impact on system performance. The results of this paper designed for station management shake Phi DS digital matched device, prov)

说明：  小世界网络路径求法，以及聚集度的求法，开发环境是matlab(small world)

DCT变换,基于matlab的变换程序，可调用(DCT, matlab-based transformation program, call)

说明：  matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘(Least Square，LS)准则两大类，其他算法大多是这两种算法的演进。(matlab simulation analysis of various adaptive. . Adaptive information processing algorithms, a variety of plans, their essence can be summarized as follows the minimum mean square error (Least Mean Square, LMS) criterion and least squares (Least Square, LS) criteria for two categories, most of the two other algorithms kind of algorithm evolution.)