RDDataFun

the code is related to image retrieval

说明：  这是基于matlab软件编写的开发型代码(this is a program)

能量检测算法，频谱感知技术，认知无线电技术(Energy dector)

脉冲编码调制（PCM，Pulse Code Modulation）是一种将模拟语音信号转换成数字信号的编码方式，从数学上来看，量化过程就是把一个连续幅度值的无限数集合映射成一个离散幅度值的有限数集合，编码就是用一组二进制数来表示这些映射后的有限数。 国际标准化的PCM采用折叠二进制码，符合长途电话质量。根据量化方法的不同，PCM 可分为均匀量化PCM 和对数PCM 两大类，对数PCM中，A律和μ律编码都已被定为国际标准。 本程序实现了A律、μ律以及均匀量化三种PCM，并带有GUI界面，方便使用。可以计算编码后的码率、运行时间以及最小均方误差。(Pulse Code Modulation (PCM, Pulse Code Modulation) is an analog voice signal into digital signal encoding, from the mathematical point of view, the process is to quantify the magnitude of the value of an infinite number of continuous mapping into a discrete set of the limited range of values number set, code is a set of binary digits, said after a limited number of these maps. By folding the International Standardization of PCM binary code, in line with long-distance telephone quality. According to the different quantitative methods, PCM can be divided into uniform quantization PCM PCM and the number of two categories, on the number of PCM, A law and μ-law code have been designated as international standards. A law implemented in this program, μ law and the uniform quantization of three PCM, with a GUI interface, easy to use. Encoded bit rate can be calculated, running time and minimum mean square error. )

逐行读取文本中的数据，自动存储到一个序列数组中(Text data read line by line, is automatically stored into an array sequence)

说明：  pf upf程序效果对比，建议kalman滤波，控制工程类学习(Compared with PF UPF program, Kalman filter is recommended to control engineering learning)

matlab源代码，利用作图建立引导滤波器，对粗深度图进行修缮，效果极好，附测试样例。(matlab source code, the use of mapping to guide the establishment of filter, coarse depth map for repairs, excellent results, with the test sample.)

说明：  使用BP算法实现异或功能，由matlab编程实现，可正确运行。(BP algorithm using the XOR function, the matlab programming, can be run correctly.)

matlab画图，教你如何用最简单的方法画一维图像(matlab drawing, teach you how to use the most simple way to draw a one-dimensional image)

主成分分析，用于海洋、气象，将多个变量通过线性变换以选出较少个数重要变量的一种多元统计分析方法。(Principal component analysis for the ocean, weather, several variables by linear transformation to elect a number of multivariate statistical analysis less important variables.)