beamforming

这是一款用matlab编写的GMM算法，有样例，实现用EM算法寻找GMM参数(This is a matlab prepared using GMM algorithm, there is a sample, look for implementation using EM algorithm for GMM parameter)

说明：  信号带宽30MHz,输入采样率96MHz,输出采样率32MHz，抽取倍数为3的数字下变频DDC的Matlab仿真程序(Signal bandwidth of 30MHz, the input sample rate of 96MHz, the output sampling rate of 32MHz, extracted 3 times DDC DDC in the Matlab simulation program)

speech recognition using matlab

天线互耦对MIMO无线信道性能的影响 (Antenna mutual coupling on MIMO radio channel performance)

half band filter code

This simulation script set allows for an OFDM transmission to be simulated. Imagetx.m generates the OFDM signal, saving it as a windows WAV file. This allows the OFDM signal to be played out a sound card and recorded back. Imagerx.m decodes the WAV to extract the data.

bch编码技术的信道仿真,而且附加了解释(bch coding technology channel simulation, and an additional explanation)

基于matlab的异步电机直接转矩控制研究，包括异步电机数学模型，异步电机直接转矩控制技术，(Research on direct torque control of induction motor based on MATLAB, including the mathematical model of asynchronous motor, induction motor direct torque control technology,)

永磁同步电机速度环滑模控制 自己研发的可供借鉴(Permanent magnet synchronous motor speed loop sliding mode control； to draw on their own research and development)

第9章共振峰的估算方法259 9.1预加重和端点检测259 9.1.1预加重259 9.1.2端点检测260 9.2倒谱法对共振峰的估算260 9.2.1倒谱法共振峰估算的原理260 9.2.2倒谱法共振峰估算的MATLAB程序261 9.3LPC法对共振峰的估算262 9.3.1LPC法共振峰估算的原理262 9.3.2LPC内插法共振峰的估算263 9.3.3LPC求根法共振峰的估算266 9.4连续语音LPC法共振峰的检测268 9.4.1简单LPC共振峰检测268 9.4.2改进的LPC共振峰检测270 9.5基于HilbertHuang变换(HHT)的共振峰检测274 9.5.1希尔伯特变换275 9.5.2语音信号的另一种模型——AMFM模型278 9.5.3对AMFM模型的分析279 9.5.4语音信号共振峰特征参数提取的HHT方法279 9.5.5基于HilbertHuang变换的共振峰检测步骤和MATLAB程序280(Estimation Chapter 9 259 9.1 formant pre-emphasis and pre-emphasis endpoint detection 259 259 9.1.1 9.1.2 9.2 endpoint detection principle cepstrum estimate 260 to 260 9.2.1 formant formant estimation cepstrum 260 9.2.2 cepstrum estimate estimate estimate formant MATLAB program 261 9.3LPC method formant 262 9.3.1LPC law principle of formant estimation interpolation within 262 9.3.2LPC formants 263 9.3.3LPC Root Law resonance estimate peak 266 9.4 Continuous Speech LPC formant detection method is simple LPC formant 268 9.4.1 268 9.4.2 Improved detection LPC 270 9.5 formant detection based HilbertHuang transform (HHT) 274 9.5.1 formant detection Hill Another model 275 9.5.2 Hilbert transform voice signals- AMFM model 278 9.5.3 Analysis of the AMFM model HHT Method 279 9.5.4 formant speech signal feature extraction based HilbertHuang transform 279 9.5.5 Resonance peak detection step and MATLAB program 280)