nonlinear

Phase-shift keying (PSK) is a method of digital communication in which the phase of a transmitted signal is varied to convey information. There are several methods that can be used to accomplish PSK.

matlab时频分析配套源码第8章的程序，请大家共享(Matlab time-frequency analysis supporting FOSS chapter 8, please share)

matlab好的进门学习材料啊！给位可以参考(matlab good learning materials door ah! Can refer to the position)

this code in used in neural network mlp with back propagation training algorithm and geradian descends algorithm for optimization.in some of this codes I used full propagation algorithm or mlp one layer or two layer with different activation function.this code can be use for prediction or control system by useing neural networks.

3D电阻率反演Matlab程序 RESINVM3D is a MATLAB package for inverting 3D Dc Resistivity and Electrical Resistivity Tomography data.-3D resistivity inversion of Matlab procedures RESINVM3D is a MATLAB package for inverting 3D Dc Resistivity and Electrical Resistivity Tomography data.

基于非局部均值图像去噪，对高斯加噪声有很好的去除效果，其中的修改程序，加入了对称处理，处理对称图像效果更好(Based on non-local means image denoising, the high Alaska noise removal, which modify the program, joined the symmetrical treatment, processing symmetrical image effect better)

用matlab的100个编程例子，可以学习学习，供大家更好的理解掌握MATLAB。(100 matlab programming examples, you can learn, we can better understand and grasp the MATLAB.)

MATLAB高阶谱分析(Higher-Order Spectral Analysis )信号处理工具箱，有详细的安装说明。(MATLAB Signal Processing Toolbox higher order spectral analysis, a detailed installation instructions.)

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)

To solve Ax=b - input A, b, x0 (initial guess), ni (number of iteration) - output