firefly

16QAM在SG中的模型，对于学习system generator 很实用的(this 16QAM application in SG,and it s very useful for you to study system generator)

Use Laplacian filter to enhance the picture.

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)

ldpc在BSN信道下的性能仿真，程序较简单，但可以运行，仅供参考(ldpc in the performance of BSN channel simulation, the program is relatively simple, but it can run for reference only)

this source is very helpfull for technology student, who is the first in programming with matlab,

GPS信号处理流程，包括信号发生、接收机捕获、跟踪和定位解调。(GPS signal processing flow, including signal generator, receiver capture, tracking and positioning demodulation.)

说明：  matlab遗传算法程序，包括编码，选择，交叉，变异等步骤。(matlab genetic algorithm process, including coding, selection, crossover and mutation steps.)

用Matlab实现学生综合成绩评定的模糊推理，pdf论文，适合计算智能学者参考。进一步理解模糊逻辑(Grading students with Matlab fuzzy inference pdf papers for Computational Intelligence scholars reference. Further understand fuzzy logic)

APG 算法实现核函数相关模式问题，发上来分享。大家可以试试！(Accelerated Proximal Gradient Algorithm for Nuclear Norm Regularized Least Squares problems)

遗传算法优化多峰函数，最优值约在38.8左右，亲测可用(Multimodal function optimization genetic algorithm, the optimal value of about 38.8 or so, pro-test available)