Efficient Spectral Analysis Through Effective Reduction of Adjacent Channel Interference in Multirate Processing

Signal Processing: An International Journal

K. Satya Prasad¹  Ganekanti Hemanja¹  P. Venkata Subbaiah¹ 

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关键词: Multirate Processing;    Bandpass filtering;    Decimation;    Modified Kaiser window;    Net input samples;    Spectral output;   

DOI  :  

学科分类：物理（综合）

来源: Computer Science Journals

【 摘 要 】

Spectral analysis is considered to be important area of consideration in which the volume reconstruction and visualization takes place, besides amounting to increase in computational efficiency. The reception of selected frequency and amplitude level takes an important role for further processing at the succeeding stages of Digital Signal Processing. The number of developments are undertaken through research work for effective reception of signals. In this paper, the proposed method is based on Multirate technique, specified by authors[1][2], in Finite Impulse Response digital filter bank through Modified Kaiser window, subsequently followed by Fast fourier transform. A remarkable spectral output is achieved by way of increase in magnitude, linear phase response, constant width and sharp rise of response, less adjacent channel interference and better stopband attenuation as compared to authors of [3][4][5][6] besides significant improvement of specific parameters listed among by respective methods are elited. In addition, a better reduction in computational complexity is achieved. This method of spectral analysis is suitable in most of applications, especially in digital hearing aid applications as it is compatible with low frequency, low delay and low power requirements. The simulation results are added on account of satisfactory performance and comparison is drawn to enlighten the advantages in the proposed method.

【 授权许可】

Unknown