cfar

说明：  系统辨识与自适应理论在matlab中的应用，内含源代码(Application of system identification and adaptive theory in MATLAB, including source code)

录制一段自己的语音信号，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，采用窗函数法和双线性变换设计滤波器，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。(Section of their own voice recording signal, and recording the signal sampling draw sample after the speech signal time-domain waveform and frequency spectrum given filter performance indicators, using a window function method and bilinear transformation design of filters, and draw the frequency response filter then use the filter of their own design for the signal acquisition filtering, after filtering the signal to draw the time-domain waveform and spectrum, and filtering of signals before and after contrast, analysis of signal changes playback voice signal Finally, the design of a signal processing system interface.)

说明：  解PCA的程序 (Solution procedures for PCA)

ofdm在matlab上的仿真程序，并且是可视化的matlab程序(ofdm simulation)

[W,L,q]=huffman(P) 为huffman编码函数 P为信源的概率矢量，W为编码返回的码字 L为编码返回的平均码字长度，q为编码效率 ">

稀疏编码matlab源代码 论文：Efficient sparse coding algorithms(SPARSE CODING+CODE SPARSE CODING+CODE SPARSE CODING+CODE)

一个强大的工具分析 寻找 逆转录(逆转录)跟随由聚合酶链反应，该程序定量分析信使核糖核酸。定量表达基因水平，特别是能为低级的丰富信使核糖核酸提供分析工具。(Reverse transcription(RT) followed by PCR is a powerful tool for the detection and quantification of mRNA. It is the most sensitive method for the detection and quantification of gene expression levels, in particular for low abundance mRNA. The relative quantification is based on the expression ratio of a target gene versus a reference gene. Some mathematical models have already been developed to calculate the relative expression ratios, with or without efficiency correction. Normally the PCR efficiency is set at 2 (the max possible value) for the reference and target gene, but a difference in PCR efficiency of 0.03 between the target and reference gene, the falsely calculated difference in expression ratio is 46 in case of Et<Er and 209 in the case of Et>Er. The difference will increase dramatically by higher efficiency differences: i.e. DE=0.05 (27 and 338 ) and DE=0.1 (7.2 and 1083 ) This function computes the efficiency of PCR reaction and is based on my function MYREGR)

Aplication PID in Matlab

白噪声过程的功率谱 自相关函数和功率谱(The power spectrum of the white noise process autocorrelation function and power spectral)

这是code使用说明,对大家比较有帮助，新手必备(This is the code for use)