foursquare-2014.04.23.tar

matlab编写的匹配滤波器,实现匹配滤波的功能(matlab match-filter)

几中使用matlab画图的代码，值得收藏，也可以借鉴学习。。。(Focus on drawing code, worthy of collection, you can also learn from. . .)

FM receiver based on TDA7040 chip, easy to accomplish

image watermarking method

对录音信号集 中的某一语音，利用BATLAB设计一美尔例谱算法，并实现。 取信号集 中的一个语音信号：“xxxxxx”，将它作为输入的语音信号来为设计一个美尔倒谱算法，在该算法中，主要设计了以下环节： 1.读入一个语音信号；2.对这个信号归一化；3.对归一化的信号进行加窗处理（这里的矩形窗长度必须为257，重帧长64）；4.进行预加重处理，即通过一个高通滤波器： ；5进行512点的FFT；6.分别取模平方得到功率谱；7.在设计的mel滤波器组中，我采用了25个带通滤波器；8.将得到的功率谱信号通过mel滤波器组，得到相应的25个功率值；9.对这些功率值取自然对数；10.对这些值取离散作弦变换；11.将得到的值去掉直流分量，取其它值作为MFCC参数。 (Concentrated on recording a voice signal, using BATLAB designed Mayer cases spectral algorithm, and implementation. Get a voice signal signal focus: "xxxxxx", will it as input for the design of a voice signal to Mel Cepstrum algorithm in the algorithm, the main design of the following links: 1. Read a speech signal 2. On the signal normalized 3. Of the normalized windowed signal processing (here, rectangular window length must be 257, re-frame size 64) 4. For Pre-emphasis processing through a high-pass filter: 5 for 512 points of FFT 6. modulo square were obtained spectrum 7. in the design of mel filter banks, I use a 25 band-pass filter 8 . will be the power spectrum signal by mel filter bank, corresponding to the 25 power values 9. on the power to take the natural logarithm value 10. to take these values as strings of discrete transform 11. will be of value to out DC component, to take other values as MFCC parameters.)

在matlab上利用鲍威尔发求解的优化算法(In Powell made using matlab to solve the optimization algorithm)

PdfParse 用于从PDF文件中抽取文本数据的示例，支持unicode字符集编码、8进制和16进制编码。(PdfParse used to extract text from a PDF file example of data, unicode character set encoding, octal and hexadecimal encoding.)

matlab图像配准 红外可见光图像配准的详细方法 (matlab Visible Infrared image registration image registration detailed methodology)

fuzzy PI control for dynamic system

声音响度matlab计算程序，iso532(基于zwicker模型)，包含整体响度，短时响度以及脉冲响度计算(Matlab loudness calculation program, iso532 (based zwicker model), including the overall loudness, loudness and short pulse loudness calculation)