Maximum entropy method and Welch 's power spectrum estimation comparison.
最大熵法与Welch法估计的功率谱的比较。
Noise power spectrum estimation is a fundamental component of speech enhancement.
噪声功率谱估计是语音增强系统的一个重要组成部分。
The modern power spectrum estimation algorithm and measurement system were studied.
对该系统所采用的现代功率谱估计算法和测量系统进行了研究。
A high resolution time delay estimation based on the LS lattice adaptive AR power spectrum estimation is proposed.
本文提出了一种基于最小二乘（LS）自适应AR建模的时延估计方法。
Based on the cross-power spectrum estimation, the algorithm has the advantages of lower complexity and better precision over wide frequency band.
该算法基于互功率谱估计，具有算法复杂度低、精确度高、适用频率范围广等优点。
Correct noise power spectrum estimation and apriori signal-to-noise ratio (SNR) estimation are all essential to good quality of the enhanced speech.
噪声功率谱估计和先验信噪比估计的准确性有助于提高增强后的语音质量。
Based on the analysis, a new method to detect carrier frequency of FSK signal named time-domain joint and modern power spectrum estimation is put forward.
对电力远动通道FSK信号进行了时域和频域分析，在此基础上提出了一种新的FSK信号载波频率测量方法—时域拼接结合现代功率谱估计的方法。
By simulating the modulation process using MATLAB, the influence of different power spectrum estimation algorithm to the bit-error-rate performance of the demodulation technique is analyzed.
通过Matlab仿真了调制解调过程，分析了三种功率谱估计算法对解调误码性能的影响。
After the power spectrum estimation for the collected signals, the measured objectives 'scattering coefficient can be calculated out combined to the radar parameters and environmental parameters.
对采集到的信号做功率谱估计后，结合测量时的雷达参数和环境参数，就可以计算出被测目标的散射系数。
The correlation method and FFT method of the power spectrum estimation could not completely reflect the concept of the power spectrum of the non-stationary random signals because of data truncation.
对于非平稳随机信号的功率谱分析，采用自相关函数傅里叶变换和直接傅里叶变换分析时，由于存在数据截断，二者从概念上都不能很好地反映随机信号的功率谱。
A least Pth optimization method is developed for estimation of structural dynamic parameters from estimated response spectrum power density function.
本文提出用最小p乘优化方法从响应功率谱估算结构的动力参数。
After combined with correlation accumulation technique and power spectrum collection-average technique, the estimation performance can be improved.
将它与相关积累技术和功率谱集平均技术相结合，能提高该方法的估计性能。
Offering SNR estimation method based on the quantization noise power spectrum.
提出基于量化噪声功率谱的信噪比（SNR）估算方法。
Offering SNR estimation method based on the quantization noise power spectrum.
提出基于量化噪声功率谱的信噪比（SNR）估算方法。
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