MATLAB__CCS_Development_Tools

这个包实现了ITU - T的G.723.1语音编码器和解码器在Matlab。该方案的目标是提供一个良好的记录和模块化设计方案，实验和研究，以方便使用为基础的实际编码器。 编码器实现了G.723.1的多脉冲模式（在6.3 kb / s的运行）。解码器可以解码的5.3 kb / s的，在6.3 kb的多脉冲/秒，连续传输，数据包丢失隐藏）编码器（所有的ACELP方式。 该编码器和解码器之间的标准接口是位文件（同位文件由ITU - T参考代码产生兼容）。第二个选项之间传递的编码器和解码器使用Matlab的数据信息文件。此选项允许测试通过传递量化或unquantized之间的编码器和解码器的信息。 有报道[1]描述了G.723.1编码与Matlab实现与分布包括在内。 ITU - T建议G.723.1的[2]在线提供。该建议含(This package implements the ITU-T G.723.1 speech coder and decoder in Matlab. The goal of the package is to provide a well-documented and modular program that was designed to facilitate experimentation and research using a practical coder as a base. The coder implements the multipulse mode of G.723.1 (running at 6.3 kb/s). The decoder can decode all modes of the coder (ACELP at 5.3 kb/s, multipulse at 6.3 kb/s, discontinuous-transmission, packet loss concealment). The standard interface between the coder and decoder is a bit file (compatible with the bit files generated by the ITU-T reference code). A second option passes information between the coder and decoder using a Matlab data file. This option allows for testing by passing quantized or unquantized information between the coder and the decoder. A report [1] describing the G.723.1 and the Matlab implementation is included with the distribution. ITU-T Recommendation G.723.1 [2] is available on-line. The recommendation incl)

基于IOS自组织分析法的iris数据集分类，matlab实现，含注释。(The iris data set classification based IOS self-organization analysis, Matlab implementation, including annotations.)

在MATLAB中完成STL数据的渲染，用PATCH函数完成加颜色和亮度等功能(Completion of the STL data in MATLAB rendering)

矢量网络分析仪的驱动程序，可以用matlab调用(Vector network analyzer driver, you can use matlab call)

独立向量分析。是独立分量分析的一种扩展算法，可以用于信号卷积混合。(Independent vector analysis. Is an extension of the independent component analysis algorithm can be used for mixed signal convolution.)

beamformer of smart antenna

说明：  1.1 C基础知识 1 1.2 函数与头文件 2 1.3 C预处理器 3 1.4 将一个字符转换为long型 4 1.5 strcpy函数 4 1.6 assert用法 5 1.7 itoa函数和atoi函数 6 1.8 strcmp函数实现 8 1.9 strcpy函数实现 9 1.10 memcpy函数实现 10 1.11 memcpy和memmove函数的实现 11 1.12 strcat函数实现 13 1.13 使用库函数atoi，将char *→int 13 1.14 使用库函数itoa，将int→char * 14 1.15 不使用库函数，将int→char * 14 1.16 不使用库函数，将char *→int 15 1.17 求两个整数的最大公约数 16 1.18 Little_endian or Big_endian 17 1.19 sizeof与strlen的区别 19 1.20 实现String类的BIG_FOUR 19 1.21 struct和union的区别 20 1.22 char字符变量与int整型数据 22 1.23 字,字节,字符,比特 23 1.24 空格、空字符、字符数组结束符的区别 25(1.1 C Basics 1 1.2 Functions and header files 2 1.3 C preprocessor 3 1.4 will be a long-type characters into four 1.5 strcpy function 4 1.6 assert usage 5 1.7 itoa function and atoi function 6 1.8 strcmp function to achieve 8 1.9 strcpy function to achieve 9 1.10 memcpy function to achieve 10 Achieve 11 1.11 memcpy and memmove function 1.12 strcat function to achieve 13 1.13 using the library function atoi, the char* → int 13 1.14 using the library function itoa, the int → char* 14 1.15 does not use the library function, int → char* 14 1.16 does not use the library function, char* → int 15 1.17 find the greatest common divisor of two integers 16 1.18 Little_endian or Big_endian 17 Difference 1.19 sizeof and strlen 19 1.20 realize BIG_FOUR String class 19 Difference 1.21 struct and union of 20 1.22 char and int integer variable character data 22 1.23 word, byte, character, bit 23 Difference 1.24 spaces, null characters, character array termi)

LZ-78的一个算法。注释很清楚。分开给出程序(A program of LZ-78,with detailed note)

关于SAR成像算法，比较简单，适合初学者学习使用(On the SAR imaging algorithm is relatively simple for beginners to learn to use)

蚁群算法的matlab源码 蚁群算法的matlab源码 蚁群算法的matlab源码 (Ant colony matlab source code ant colony algorithm Ant colony algorithm matlab source code matlab source)