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exa130302_ab
- 设计IIR滤波器,对滤波器系数按4bit和5bit量化。-Design of IIR filter coefficients of the filter and 5bit quantified by 4bit.
AdaptiveequalizerbasedonLMSalgorithm
- 基于matlab用LMS算法实现了自适应均衡器，画出了一次实验的误差平方的收敛曲线，并给出最后设计滤波器系数。-Matlab-based algorithm using LMS adaptive equalizer, draw a square of experimental error convergence curve, and gives the final design of the filter coefficients.
file
- 升余弦滤波器设计，产生眼图，输入调制方式为2PAM和4PAM，符号率为1Hz，等效信道滤波器为升余弦滚降成形滤波器(缺省滚降系数为0.5)-Raised cosine filter design, resulting in eye diagrams, input modulation for 2PAM and 4PAM, symbol rate of 1Hz, the equivalent channel filter for shaping raised cosine filter (defa
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- 低通滤波器允许从直流到某个截止频率(fCUTOFF) 的信号通过。将通用滤波器二阶传递函数的高通和带通系数均设为零，即得到一个二阶低通滤波器传递公式-The low pass filter allows the signal to be passed through the DC to a certain cutoff frequency (fCUTOFF). The high pass and band-pass coefficients of the two order transfer f
fang_sb03
- 最终的权值矩阵就是滤波器的系数，包括脚本文件和函数文件形式，包括压缩比、运行时间和计算复原图像的峰值信噪比。- The final weight matrix is ??the filter coefficient, Including scr ipt files and function files in the form, Including compression ratio, image restoration computing uptime and peak signal to no
cg115
- 在MATLAB中求图像纹理特征，有详细的注释，最终的权值矩阵就是滤波器的系数。- In the MATLAB image texture feature, There are detailed notes, The final weight matrix is ??the filter coefficient.
thytn
- 大学数值分析算法，最终的权值矩阵就是滤波器的系数，实现了图像的加水印，去噪，加噪声等功能。- University of numerical analysis algorithms, The final weight matrix is ??the filter coefficient, Realize image watermarking, de-noising, plus noise and other functions.
migeu
- 最终的权值矩阵就是滤波器的系数，通过反复训练模板能有较高的识别率，具有丰富的参数选项。- The final weight matrix is ??the filter coefficient, Through repeated training pKyaWiXlate have higher recognition rate, It has a wealth of parameter options.
famre
- pwm整流器的建模仿真，多姿态，多角度，有不同光照,最终的权值矩阵就是滤波器的系数。- Modeling and simulation pwm rectifier Much posture, multi-angle, have different light, The final weight matrix is ??the filter coefficient.
小波基函数
- 我们通常用的函数dbn中的n就是这个小波函数的消失矩; 消失矩越大,它的支撑长度就越大,通常是支撑长度不少于2*n-1的; 消失矩越大,对应的滤波器越平坦,而且小波函数的振荡很强. 光滑函数在利用小波展开后的零点越多,也就是说小波的消失矩的大小, 决定了小波逼近光滑信号的能力.这一点也可以用来进行图像压缩. 越大的消失矩将使高频系数越小,小波分解后的图像能量也就很集中,压缩比例就越高. 通常我们都愿意采用消失矩较高的小波函数. 我们可以对一个信号,采用不同的消失矩的小波函数来分