FORM.LDPC

使feasp方法用求解线性矩阵不等式的程序，很完整，有注释，对于学习求解线性矩阵不等式很有帮助(Methods to feasp procedures for solving linear matrix inequalities, it is complete, with annotations, for learning useful for solving linear matrix inequalities)

A simulink model ued for Fourier transformation analysis. It allows the user to select the harmonics number.

matlab 分形 dragon图形的matlab源代码(matlab matlab fractal dragon graphics source code)

小波包降噪、提取能量特征值，用于振动信号处理、故障诊断等。里面有经典的例子，供大家学习(Extract the energy eigenvalues for vibration, wavelet packet de-noising, signal processing, fault diagnosis. There are classic examples, for everyone to learn)

车载收音模块资料，数字调谐收音原理，控制方式等等(Car radio module data, digital tuning radio theory, control, etc.)

说明：  面阵波束形成 两种方法 三维指向性 直接运行(Planar array beamforming in two ways to run a direct three-dimensional directional)

LMS算法matlab实现，可以进行验证(LMS algorithm matlab realize)

基于cost207模型的AM调制的仿真，仅仿真乡村模式，用于课本《移动通信》第三章10题的入门回答(AM modulation cost207 model-based simulation, emulation mode only country, introductory textbook for " Mobile Communications" Chapter 10 questions answered)

语音是人类交换信息的有效渠道之一，也是我们日常生活交流的主要形式。 语音与当今科学技术的快速发展息息相关，特别是计算机中的语音交互技术，通 过对语音信号进行采集和处理，实现人与人之间有效信息的传输、获取以及存储。 基于 MATALAB 的语音信号去噪设计，对噪声信号进行有效地滤除，将降噪后的语音信号与原始 信号在时域和频域进行对比分析，计算出信噪比，并在 MATLAB 中设计 GUI 仿 真界面进行展示.(Speech is one of the effective ways for human to exchange information, and it is also the main form of our daily life communication. Speech is closely related to the rapid development of modern science and technology, especially the voice interaction technology in the computer. Through the acquisition and processing of voice signals, the transmission, acquisition and storage of effective information between people and people is realized. Based on the noise signal de-noising design of MATALAB, the noise signal is effectively filtered, the speech signal and the original signal after the noise reduction are compared and analyzed in the time domain and frequency domain, and the signal to noise ratio is calculated, and the GUI simulation interface is designed in the MATLAB.)

说明：  引入具有平移不变性和良好的方向分析能力的双树复小波变换对源图像进行多尺度分解;然后对分解得到的各尺度的高频子带采用基于跨尺度的邻域空间频率的融合策略,最高层的低频子带采用基于改进的邻域熵的融合策略进行融合处理;最后对融合后的各个频带进行双树复小波逆变换,重构出融合图像(The dual tree complex wavelet transform with translation invariance and good direction analysis ability is introduced to decompose the source image in multi-scale; then the fusion strategy based on the cross-scale neighborhood space frequency is adopted for the high-frequency subband of each scale obtained by decomposition, and the fusion strategy based on the improved neighborhood entropy is adopted for the low-frequency subband of the highest level; finally, each frequency band after fusion is carried out Double tree complex wavelet inverse transform to reconstruct fusion image)