matlab中wave文件的信号生成功能源代码，欢迎使用

语音的正弦模型程序，用户接口比较全。包括正弦模型的分析合成，模块比较多，可以参考网上的说明。-voice sinusoidal model procedures, the entire user interface comparison. Including the sinusoidal model of synthesis, more modules, the Internet can refer to the note.

这个是 系统辨识与自适应控制MATLAB仿真一书中的 源程序，现在免费给大家分享了！有需要的朋友抓紧了！-This is the system identification and adaptive control of MATLAB simulation of a source book, now free for everyone to share! The need to pay close attention to a friend!

自适应量化。读取wav文件，使用2到12比特量化。抽样频率8khz-Adaptive quantization. Read wav files, using 2-12 bit quantify. Sampling frequency of 8kHz

一篇关于LMS和RLS算法应用于噪声抵消的matalb仿真论文，值得一看。-An article on the LMS and RLS algorithm is applied to noise cancellation of matalb simulation papers, worth a visit.

its an lpc code working for speech recognition

使用划分注意到原来的 50 兆赫频率的脉冲发生器

一个VC实现的,用G.729a实现的语言对讲的例子-a VC, using G.729a achieve language Talkback example

TI arm芯片在ivr ewarm中的flash下载驱动源码，和生成文件，直接可用，比较少见。-TI arm chip ivr ewarm in the flash drive to download source code, and generate documents directly available, relatively rare.

基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更少的训练语料，可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN good generalization ability, the ability to learn fast, easy online updates, and with the Bayesian statistical theory based on estimates, and has become a solution as speaker recognition, text recognition, medical image recognition, satellite images and other real recognition when difficulties classification of very effective tool. But GMM PNN is not only the most advantages, but also has many advantages GMM not as strong robustness, require less training corpus, and other networks to other theories, such as seamless integration.

CCS下调试通过，基于5416DSP及AIC23的G.711编解码算法。-The adoption of CCS under the debugger, based on the 5416DSP and AIC23 codec G.711 algorithm.