A FIR passband filter with Hamming Window was designed and applied in the vibration monitoring system.
在数字信号处理中，FIR滤波器是常用的滤波系统。
A second filtering section filters the calculated correlation values by multiplying the correlation values by Hamming window.
第2滤波部(230)使求出的相关值通过汉明窗口来进行滤波。
Then a Hamming window with length 9 was used as the filter to smooth the spectra.
对预处理后的光谱曲线进行光谱曲线的倒数、去包络和波段深度计算，据此选择一些特征控制点，并获取土壤光谱吸收特征参数表征土壤光谱曲线的形状特征和吸收带特征。
Design steps: First, a section of speech signal acquisition and to observe its spectrum, and then the design of a Hamming window FIR filter, the final filtering of the signal.
设计步骤为：首先采集一段语音信号并观察其频谱，然后设计一个汉明窗FIR滤波器，最后对该信号进行滤波。
Introduction was made to the design method of digital filter based on window function, basic concept and category, co- mparing the performances of band-stop filter with rectangle window and Hamming window, giving out simulation results.
介绍了基于窗函数的数字滤波器设计方法、基本概念及分类，比较了施加矩形窗和海明窗的带阻滤波器的性能，给出了仿真结果。
Aiming at the high speed moving target, the simulation results show that under the case that the Hamming window is used to weight the synthetic spectrum, the target range profile does not have grating lobe and the peak-to-side lobe ratio of that is -42 dB below.
针对高速运动目标的仿真结果表明，在采用海明窗加权的情况下，与基于低速运动模型的频域合成带宽法相比，所提方法得到的距离像没有出现栅瓣且副瓣电平在-42dB以下。
Simultaneity the article analyzes capability of each window function used when adding window during characteristics pick-up, and considering that it may engender energy leakage when adding window to cut off the signal, the article chooses Hamming Window as the window function.
同时对特征提取过程中加窗处理时采用的各种窗函数进行了性能分析，考虑到加窗截断信号时候产生的能量泄漏的程度，选择了海明窗作为加窗处理函数。
In this study, we also use machine learning and statistic methods for speech recognition. Feature analysis with the clean speech data is proceeded through a series processes, such as: digitization、frameing、endpoint detection、pre-emphasis、hamming window、mfcc. After those steps, we identify speech parameters from training Hidden Markov Models. During recognition phase, an estimate of the bias was computed for each test utterance and subtracted from it. These approaches minimize mismatches and reach better result of recognition accuracy.
本研究运用到机器学习的理论与统计方法，首先将乾净的语音资料经过数位讯号的处理，例如：声波数位化、取音框、端点侦测、预强调、加窗、梅尔倒频谱等前置处理，之后获得的特徵参数，透过隐藏式马可夫模型训练出乾净语音的模型，在测试语音中，首先针对不同的噪音语音，进行隐藏式马可夫模型的参数调整，以降低不匹配的现象，而达到较佳的辨识结果。
FIR window design with a digital filter function can be familiar with the rectangular window, Haining window, Hamming window and Blackman window.
用窗函数法设计FIR数字滤波器，能熟悉矩形窗、海宁窗、汉明窗和布莱克曼窗。
There is the least interference by using our new window function in the shaping filter, and for the FIR filter, its properties are between the Hamming window and Blackman window.
在成形滤波器中，用本文的新窗函数，干扰最小；而FIR滤波器中，新窗函数的性能介乎汉明窗与布拉克曼窗之间。
In this paper, the characteristics of FIR filter based on the design of window function are analysed and the band-limited communication channel is simulated with FIR filter which is designed respectively based on rectangle windows, Hanning window and Hamming window.
对基于窗函数设计的FIR滤波器的特性进行了分析，并分别采用矩形窗、Hanning窗和Hamming窗设计FIR滤波器来仿真带限通信信道。
Simulation with Matlab indicates that the FIR filter based on Hamming window is more effective.
Matlab仿真结果表明：基于Hamming窗函数设计的FIR滤波器仿真带限通信信道，效果较好。
This paper analyzes the error of phase demodulation, which is generated in filtering by the means of three kinds of filtering windows & rectangle window, hamming window, and Kaiser window.
分析比较了在频域内用矩形窗、哈明窗、凯塞窗三种窗函数进行滤波后解相的误差。
The normalized cut off frequency and the window parameter must be given in order to design the digital filters, For the sake of comparison, the program also provides with HANNING window, HAMMING window and KAISER-widow, The program is made up of module contruction.
为设计窗数字滤波器要求给出滤波器的归一化截止频率和窗参数。为便于比较，程序中还配备了HANNING窗、HAMMING窗和KAISER窗。
It is showed that the effect of Hanning window is better than Hamming window, and the accuracy of double interpolation algorithm is higher than the single interpolation algorithm.
从仿真结果可以得出，Hanning窗的效果要好于Hamming窗，双插值算法的计算精度要高于单插值算法。
The input interdigital transducers (IDTs) in SAW filters are uniformly weighted while the output IDTs have the modified Hamming window structure.
SAW滤波器的输入叉指换能器（IDT）等值加权，而输出叉指换能器具有修正的汉明窗结构。
By means of Fast Fourier Transformation (FFT) spectrum analyses of the series polluted by noises are carried out and the cutting frequency of effective signal is determined. Filtering factors, power series, are obtained by use of function of Hamming time window.
首先对噪声污染的量测序列用快速傅氏变换（FFT）方法作频谱分析，确定有用信号的截止频率，然后用哈明时窗函数确定滤波因子，即加权滤波的权序列。