dongtaijuzhenshil

本语音频谱分析程序对三个重要的谱（即短时谱、倒谱和LPC谱）分别做了仿真分析，这样为以后进一步研究语音打下了基础。(The voice spectrum analysis program three important spectrum (ie short-term spectrum, cepstrum and LPC spectrum) is simulated separately, so that voice for the future foundation for further study.)

matlab里ployfit的原型 c#版(the matlab ployfit the prototype c# version)

用MATLAB实现瑞利信道下的误比特率仿真(Using MATLAB to achieve Fading Channel BER simulation)

FSK modulation matlab model frequency deviation FSK modulacia so spojitou fazou je zalozena na frekvenciach, t.j. ak k=f/tb a k je celociselny nasobok oboch frekvencii. Ak k nie je celociselny nasobok, potom je to FSK modulacia s nespojitou fazou. fb - frekvencia vstupnych bitov bit/s fm - frekvencia pre 1 fs - frekvencia pre 0 >> FSK_mod(500,1000,3000,[0 1 0 1 1 0 1 0 0 1]) (FSK modulation matlab model frequency deviation FSK modulacia so spojitou fazou je zalozena na frekvenciach, t.j. ak k=f/tb a k je celociselny nasobok oboch frekvencii. Ak k nie je celociselny nasobok, potom je to FSK modulacia s nespojitou fazou. fb- frekvencia vstupnych bitov bit/s fm- frekvencia pre 1 fs- frekvencia pre 0 >> FSK_mod(500,1000,3000,[0 1 0 1 1 0 1 0 0 1]) )

基于matlab的2FSK调制与仿真 m文件源程序(2FSK modulation)

三维有限时间差分法计算矩形谐振的例子编程(three-dimensional finite-difference time rectangular resonant examples of Programming)

有详细的注释，利用matlab写成的窄带噪声发生，能量谱分析计算。( There are detailed notes, Using matlab written narrowband noise occurs, Energy spectrum analysis and calculation.)

利用matlab对一些现有信号进行处理，包括加噪声滤波等一系列操作。(The use of MATLAB for some of the existing signal processing such as additive noise, filtering and a series of operations. )

fuelcell model燃料电池模型，可直接套用。(fuel cell model_files)

盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。(Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied.)