为了解决滤波器数值计算不稳定问题，实践中提出并应用了许多方法，如自适应滤波、固定增益滤波、平方根滤波等。
To deal with filter value calculation instability, people put forward and carry out lots of methods in practice such as self-adaptive filter, fixed amplitude filter and square root filter, etc.
本文导出误差反馈次最优二阶状态空间数字滤波器单位噪声增益的计算公式。
A simple formula of unit noise gain is derived for suboptimal second-order state-space digital filter with error feedback.
该算法以小波变换中的滤波器理论为基础，通过将图像序列在时间域的尺度分解和相应统计量计算，获得在红外焦平面校正中起影响的偏置和增益系数。
With the scale decomposition of image sequences on the time field and the corresponding statistics' calculation, the offset and gain coefficients in IRFPA NUC were obtained.
模拟计算结果表明，用该方法得到的滤波谱能使放大器的增益平坦在原放大器可能得到的最高增益水平，同时因滤波器的引入带来的噪声特性恶化也最小。
Simulation results show that by using this iteration algorithm, the flattened gain can reach the possible highest value of the original amplifier, and noise penalty is the minimum.
模拟计算结果表明，用该方法得到的滤波谱能使放大器的增益平坦在原放大器可能得到的最高增益水平，同时因滤波器的引入带来的噪声特性恶化也最小。
Simulation results show that by using this iteration algorithm, the flattened gain can reach the possible highest value of the original amplifier, and noise penalty is the minimum.
应用推荐