Counter-matlab

當天線位置估計錯誤時，可將其依據演算法修正回來，並且使用apdaptive beamforming技術，能偵測出jammer在哪兒的源碼。(Antenna position estimation error, the same day can be revised based on algorithms to come back and use apdaptive bemforming technology, able to detect where a jammer source.)

demonstrates the compressive sensing using a sparse signal in Time domain. The signal consists of a UWB (Ultra Wide Band) pulse in time domain. The signal is sparse in Time domain and therefore K random measurements are taken in Frequency domain.

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极化敏感阵列主板抗干扰性能分析与测试，体现极化敏感阵列利用极化予信息抗干扰的性能优势(sensitive polar array)

M-file for simulating a QPSK transmitter by modulating with a pseudo random bit stream. A serial to parallel conversion of the pseudo random bit stream is performed with mapping of two bits per symbol. A cosine and sine carrier is configured and the I and Q symbols modulate these carriers. The I and Q carriers are combined and time and frequency domain plots are provided showing key waveforms at various positions in the QPSK transmitter. (M-file for simulating a QPSK transmitter b y modulating with a pseudo random bit stream. A s erial to parallel conversion of the pseudo rand om bit stream is performed with mapping of two bi ts per symbol. A cosine and sine carrier is CBMs gured and the I and Q symbols Modulate these CARR IERS. The I and Q carriers are combined and a time nd frequency domain plots are provided showing key waveforms at various positions in the QPSK t ransmitter.)

Through neural networks, ant colony algorithm, genetic algorithm, such as intelligent optimization methods to solve TSP problems

说明：  录制一段个人的语音信号，并对录制的信号进行采样；画出采样后语音信号的时域波形和频谱图；给定滤波器的性能指标，采用双线性变换法和窗函数法设计滤波器，并画出滤波器的频率响应；然后用自己设计的滤波器对采集的信号进行滤波，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，分析信号的变化；回放语音信号；最后，设计一个信号处理系统界面。(Record a personal voice signal, and recording the signal is sampled draw sampled speech signal time-domain waveform and frequency spectrum for a given filter performance, the bilinear transformation and design of filter window functions and draw the frequency response filter then filter of their own design collection of the signal filtering, to draw the filtered signal in time domain waveforms and frequency spectrum, and filtering the signal before and after comparison, analysis of signal changes playback audio signals Finally, a signal processing system interface design.)

matlab to show stock situation

相关的 BSS 盲源分离问题和 CS压缩感知的结合4篇论文打包，以及一个声音信号混合分离的简单实现(the realization of BSS(blind source separation) and CS(compressed sensing), and a sample of volume signal s matlab illustration)

说明：  使用小波算法对语音信号进行降噪处理，里面包含三种方法，可以对比(Wavelet algorithm is used to denoise speech signal. There are three methods in it, which can be compared.)